task_id stringlengths 12 58 | category stringclasses 10 values | role stringclasses 10 values | task_type stringclasses 5 values | instruction stringlengths 15 1.97k | checkpoints stringlengths 109 1.59k | dependencies listlengths 0 4 | docker_image stringlengths 48 94 |
|---|---|---|---|---|---|---|---|
admin-arrange-meeting-rooms | admin | Administrator | communication | Good morning! We're facing a scheduling challenge at office. All 6 teams have submitted their meeting requests for next Tuesday. The teams have scheduled their meetings as follows:
The Engineering team has a morning meeting from 9:00 AM to 10:30 AM, followed by a second meeting from 12:00 PM to 1:00 PM, and another session in the afternoon from 2:00 PM to 3:00 PM.
The Marketing team starts their quick meeting at 9:15 AM, ending at 10:00 AM, and has another meeting from 11:30 AM to 12:30 PM. Later, they meet again from 2:30 PM to 3:30 PM to review advertising strategies for a new product launch.
The Sales team needs to meet from 9:45 AM to 11:00 AM, with another meeting from 11:30 AM to 12:15 PM. Their third meeting is from 2:00 PM to 3:30 PM to discuss client follow-ups.
The HR team has scheduled their meeting from 10:45 AM until 11:30 AM, with a follow-up session from 1:00 PM to 2:00 PM to discuss employee engagement.
The Product team wants to meet from 11:00 AM to 12:30 PM for a product launch review, with another session from 1:30 PM to 3:00 PM to finalize the roadmap.
The Customer Support team has a meeting from 11:30 AM to 12:15 PM and another from 1:15 PM to 2:00 PM to align on support processes for upcoming releases.
Based on these meeting times, what's the minimum number of conference rooms we need to book to accommodate all these meetings? Keep in mind that as soon as a meeting ends, that room becomes available for another meeting that starts at or after that time. Can you help figure this out? Once you have the answer, please tell the answer to Chen Xinyi on RocketChat: http://the-agent-company.com:3000/. Oh btw, please also write the answer down in /workspace/ans.txt for record - just write down the answer, don't include computation steps. | # Checkpoints
This task has 2 points in total.
## Checkpoint 1 (1pt)
Check if the correct answer, 4, is in the file `/workspace/ans.txt`.
Engineer: 9:00 AM - 10:30 AM, 12:15 PM - 1:00 PM, 2:00 PM - 3:00 PM
Marketing: 9:15 AM - 10:00 AM, 11:30 AM - 12:30 PM, 2:30 PM - 3:30 PM
Sales: 9:45 AM - 11:00 AM, 11:30 AM - 12:15 PM, 2:00 PM - 3:30 PM
HR: 10:45 AM - 11:30 PM, 1:00 PM - 2:00 PM
Product: 11:00 AM - 12:30 PM, 1:30 PM - 3:00 PM
Customer Support: 11:30 AM - 12:15 PM, 1:15 PM - 2:00 PM
Optimal:
Room A: Engineer (9:00-10:30) → Sales (11:30-12:15) -> Product (1:30-3:00)
Room B: Marketing (9:15-10:00) → Marketing (11:30-12:30) -> Customer Support (1:15-2:00) -> Engineer (2:00-3:00)
Room C: Sales (9:45-11:00) → Product (11:00-12:30) -> HR (1:00-2:00) -> Sales (2:00-3:30)
Room D: HR (10:45-11:30) -> Customer Support (11:30 - 12:15) -> Engineer (12:15-1:00) -> Marketing (2:30-3:30)
## Checkpoint 2 (1pt)
Check if the RocketChat message sent to Chen Xinyi contains the correct answer. | [
"rocketchat"
] | ghcr.io/theagentcompany/admin-arrange-meeting-rooms-image:1.0.0 |
admin-ask-for-meeting-feedback | admin | Administrator | communication | There is an all hands meeting. You need to collect the feedback of everyone who attended.
You should first ask Huang Jie for names of all the participants, using http://the-agent-company.com:3000/.
Then, ask each of the participant for feedback and score (1-5) about the meeting, using http://the-agent-company.com:3000/.
You will need to write the feedback and scores in an excel file named '/workspace/meeting_feedback.xlsx'. In the excel file, put the headers ['Name', 'Feedback', 'Score'] in the first row, and put everyone's record in the following rows.
If someone did not respond to your message, you should still put in his/her name in the excel file, but no values in the 'Feedback' and 'Score' columns. | # Checkpoints
## Checkpoint 1 (1 point)
Check if there is chat history between agent and Huang Jie.
## Checkpoint 2 (1 point)
Check if there exists an excel file at the path `/workspace/meeting_feedback.xlsx`.
## Checkpoint 3 (1 point)
Confirm that the excel file contains entries for all participants.
## Checkpoint 4 (1 point)
Confirm that Chen Xinyi's score and feedback are empty.
## Checkpoint 5 (2 point)
Confirm that other participants think the meeting is helpful and give a 4+ score. | [
"rocketchat"
] | ghcr.io/theagentcompany/admin-ask-for-meeting-feedback-image:1.0.0 |
admin-ask-for-upgrade-reimbursement | admin | Administrator | communication | Find the expenses record in Documents/Financials/expenses on owncloud('http://the-agent-company.com:8092') to Chen Xinyi (on http://the-agent-company.com:3000/) to request for reimbursement.
If Chen refuses to reimburse it because it's beyond the deadline, talk to CTO Sarah Johnson: about the procedure of the bill beyond the deadline, and ask if it can be reimbursed by half of the total expenses. | # Checkpoints
## Checkpoint 1 (1 point)
Confirm conversation with Xinyi Chen about the bill reimbursement.
## Checkpoint 2 (1 point)
Confirm conversation with Sarah Johnson about the bill reimbursement.
## Checkpoint 3 (2 point)
If mentioned the correct price ($365, half of the original bill) to Sarah Johnson.
If the conversation is semantically equivalent as judged by LLM, give a score of 1. | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/admin-ask-for-upgrade-reimbursement-image:1.0.0 |
admin-check-employees-budget-and-reply | admin | Administrator | communication | 1. Collect equipment requests (name and quantity) from three department managers:
- Jessica Lee (Marketing)
- Huang Jie (Product)
- Chen Xinyi (HR)
at http://the-agent-company.com:3000/home
2. Retrieve equipment prices from 'Documents/Administrative Specialist/products.pdf' on owncloud(http://the-agent-company.com:8092)
3. Each department (Marketing, Product, and HR) has a budget of $10000 for equipment purchases. Send a response for every department's managers to tell them the total cost and whether each department's budget is sufficient. | # Checkpoints
This task has 4 points in total. If the last check passes, then full credits are
granted. Otherwise, partial credits might be granted if only some checkpoints are
completed.
## Checkpoint 1 (1pt)
check chat history exists between the agent and:
- Jessica Lee
- Huang Jie
- Chen Xinyi
## Checkpoint 2 (1pt)
check accessed owncloud
## Checkpoint 3 (2pt)
check agent replied with the correct answer | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/admin-check-employees-budget-and-reply-image:1.0.0 |
admin-check-employees-budget-and-reply-2 | admin | Administrator | communication | 1. Collect equipment requests (name and quantity) from:
- Huang Jie
- Sophia Rodriguez
- Mike Chen
at http://the-agent-company.com:3000/home
2. Retrieve equipment prices from owncloud(http://the-agent-company.com:8092) with file path: /Documents/Administrative Specialist/products.pdf
3. Request their total budgets and expenses from the first half of this month from Chen Xinyi
4. Calculate whether their remaining budgets can cover their equipment requests and respond with the results to each employee | # Checkpoints
This task has 4 points in total. If the last check passes, then full credits are
granted. Otherwise, partial credits might be granted if only some checkpoints are
completed.
## Checkpoint 1 (1pt)
check chat history exists between the agent and:
- Chen Xinyi
- Huang Jie
- Sophia Rodriguez
- Mike Chen
## Checkpoint 2 (1pt)
check accessed owncloud
## Checkpoint 3 (2pt)
Verify the agent's response for accuracy of budget balances and budget status | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/admin-check-employees-budget-and-reply-2-image:1.0.0 |
admin-check-employees-budget-and-reply-and-record | admin | Administrator | communication | 1. Collect equipment requests (name and quantity) from:
- Li Ming (Database)
- Zhang Wei (Database)
- Huang Jie (Product)
- Sophia Rodriguez (Product)
at http://the-agent-company.com:3000/home
2. Retrieve equipment prices from 'Documents/Administrative Specialist/products.pdf' on owncloud(http://the-agent-company.com:8092)
3. Tell them the total cost of the equipment they requested.
4. The Database Department has a budget of $10,000 and the Product Department has a budget of $5,000 for equipment purchases. Calculate whether each department's budget is sufficient. If the budget is NOT sufficient, contact everyone in the department and ask them to reduce their expense.
5. Record equipment changes (if any) in '/workspace/result.txt' using format 'Name removed Equipment' (e.g., 'Chen Xinyi removed Printer'). No recording needed if no changes. | # Checkpoints
This task has 6 points in total. If the last check passes, then full credits are
granted. Otherwise, partial credits might be granted if only some checkpoints are
completed.
## Checkpoint 1 (1pt)
check chat history exists between the agent and:
- Li Ming
- Zhang Wei
- Huang Jie
- Sophia Rodriguez
## Checkpoint 2 (1pt)
check accessed owncloud
## Checkpoint 3 (2pt)
check agent replied with the correct answer
## Checkpoint 4 (2pt)
check if any changes in needs were recorded using llm | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/admin-check-employees-budget-and-reply-and-record-image:1.0.0 |
admin-collect-requests-and-compute-total-price | admin | Administrator | communication | 1. Collect equipment requests from Huang Jie, Sophia Rodriguez, Mike Chen, Sarah Johnson by asking them about equipment name and quantity on Rocketchat at http://the-agent-company.com:3000/home
2. Retrieve prices from 'Documents/Administrative Specialist/products.pdf' on owncloud(http://the-agent-company.com:8092)
3. Calculate total costs and write down /workspace/result.txt | # Checkpoints
This task has 3 points in total. If the last check passes, then full credits are
granted. Otherwise, partial credits might be granted if only some checkpoints are
completed.
## Checkpoint 1 (1pt)
check had conversation with Huang Jie, Sophia Rodriguez, Mike Chen, Sarah Johnson
## Checkpoint 2 (1pt)
check accessed owncloud
## Checkpoint 3 (2pt)
check the the total price is correct | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/admin-collect-requests-and-compute-total-price-image:1.0.0 |
admin-employee-info-reconciliation | admin | Administrator | communication | As a small startup, we don't really have an HR system that records every employee's information. Instead,
we store employee information in a spreadsheet and manually update it whenever there's a change.
In your /workspace folder you can find a CSV file called `employees.csv` that contains the basic information
for all of our employees. Unfortunately, this file hasn't been updated in a while, so it might be missing
some employees, have outdated or even wrong information.
You could find all current employees on RocketChat (http://the-agent-company.com:3000/). If you need any
information from them, just DM them on RocketChat!
Your task is to update the `employees.csv` file with the most up-to-date information, and make sure that
every employee is included. Correct any errors you find in the spreadsheet. | # Checkpoints
This task has 7 points in total.
## Checkpoint 1 (3pt)
Spoke to Priya Sharma, Sophia Rodriguez, and Zhang Wei on RocketChat.
## Checkpoint 2 (1pt)
"Chan Xinyi" is corrected to "Chen Xinyi".
## Checkpoint 3 (1pt)
Missing entry "Priya Sharma" is added to the spreadsheet, with the correct email and phone number.
## Checkpoint 4 (1pt)
Realize that Sophia Rodriguez's phone number is incorrect, and correct it.
## Checkpoint 5 (1pt)
Add missing entry, Zhang Wei's phone number. | [
"rocketchat"
] | ghcr.io/theagentcompany/admin-employee-info-reconciliation-image:1.0.0 |
admin-get-best-vendor-quote | admin | Administrator | communication | We need to order a new server. I think Emma Lewis has collected quotes from a few companies and put them on OwnCloud. Ask her where you can find the quotes. Then download them to the workspace directory. You can discuss with Sarah about the requirements. Please create a csv file "valid-quotes.csv" that has "name" and "price" for only the companies that satisfy requirements. Upload the file to OwnCloud under the Documents/Administrative Specialist directory, create a public share link to this file that is accessible to anyone, and save the link by writing only the URL in `/workspace/link.txt`
You can access rocket chat here: http://the-agent-company.com:3000/
You can access OwnCloud here: http://the-agent-company.com:8092 | # Checkpoints
This task has 6 points in total.
## Checkpoint 1 (1pt)
Chat history exists between the agent and Emma Lewis
## Checkpoint 2 (1pt)
Chat history exists between the agent and Sarah Johnson
## Checkpoint 3 (1pt)
The agent has downloaded the quotes to the workspace directory:
- cloudtech_industries_quote.pdf
- datacore_enterprise_quote.pdf
- netsys_corporation_quote.pdf
- servermaster_systems_quote.pdf
- techpro_solutions_quote.pdf
## Checkpoint 4 (1pt)
The agent has uploaded a valid-quotes.csv file to OwnCloud under the Documents/Administrative%20Specialist directory.
## Checkpoint 5 (1pt)
The agent has created a share link for valid-quotes.csv and saved the link to /worksapce/link.txt.
## Checkpoint 6 (1pt)
valid-quotes.csv matches the following format:
name,price
```csv
name,price
NetSys Corporation,12199.99
DataCore Enterprise,11999.99
``` | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/admin-get-best-vendor-quote-image:1.0.0 |
admin-make-spreadsheet | admin | Administrator | file_management | We are collecting employees' preferences on drinks to help with our purchasing plan.
Please navigate to http://the-agent-company.com:8092/ and find drinks_survey.pdf, which contains
a questionaire that we have placed in the office. Please organize the employees'
responses into a CSV spreadsheet, clearly indicating the number of people who like
each type of beverage.
The spreadsheet is prepared for you at /workspace/drinks_survey.csv and please
complete it. | # Checkpoints
This task has 5 points in total. Every checkpoint is independent.
## Checkpoint 1 (2pts)
Identify that there are 9 drinks (2pts) or 8 drinks (1pt).
The trick is diet coke is not written on the same line as others.
## Checkpoint 2 (1pt)
Count correctly that there are 4 Apple Juice.
## Checkpoint 3 (1pt)
Identify there are Vita Coco, Talking Rain, and Milk.
## Checkpoint 4 (1pt)
Count correctly that demand for Vita Coco is 2. | [
"owncloud"
] | ghcr.io/theagentcompany/admin-make-spreadsheet-image:1.0.0 |
admin-mass-forms-filling | admin | Administrator | file_management | Go to our office cloud http://the-agent-company.com:8092/,
find the i-9.pdf and TAC_personell_data.csv under /Documents/Admin folder.
Filling out the section A of i-9.pdf (Employee Eligibility Verification)
for each of the employees in TAC_personell_info.csv, naming them as
i-9_[employee_firstname]_[employee_lastname].pdf and save in a folder named "/Documents/Admin/i_9_forms".
Tip: It is suggested to not fill the form programatically.
The numbers in TAC_personell_data.csv needs to be formatted to fit in i-9.pdf. | # Checkpoints
This task has 5 points in total.
## Checkpoint 1 (5pt)
Out of all 17 forms, all 23 * 17 forms are filled correctly. Partial credits granted to partial answers. | [
"owncloud"
] | ghcr.io/theagentcompany/admin-mass-forms-filling-image:1.0.0 |
admin-read-survey-and-summarise | admin | Administrator | communication | We are collecting employees' preferences on drinks to help with our purchasing plan.
Please navigate to http://the-agent-company.com:8092/ and find drinks_survey.pdf, which contains
a questionaire that we have placed in the office. Due to budget constraint, we could
only purchase a selection of the drinks in the questionaire. Please goto
http://the-agent-company.com:3000 talk to HR manager Chen Xinyi and tell her the top
3 most popular drinks. | # Checkpoints
This task has 3 points in total.
## Checkpoint 1 (1pt)
Correctly found and talked to the right person, HR manager Chen Xinyi.
## Checkpoint 2 (1pt)
Answer contains Coke and Mountain Dew.
## Checkpoint 3 (1pt)
Answer contains Apple Juice and Sprite. The trick here is they are tied, so
top 3 drinks actually contains 4 answers. | [
"owncloud",
"rocketchat"
] | ghcr.io/theagentcompany/admin-read-survey-and-summarise-image:1.0.0 |
admin-remove-pages-pdf | admin | Administrator | file_management | Our company is organizing a paper reading session, and the chosen paper is about "OpenHands". Could you assist by creating a shortened version of the paper?
Please Include the "References" section in the shortened version, but remove all content after it. Save the shortened paper locally as /workspace/openhands_short.pdf on your system (not on owncloud).
The original paper on can be found on owncloud (http://the-agent-company.com:8092) in the Documents/Research directory.
Thank you! Someone else will print the paper before the meeting. | # Checkpoints
This task is worth a total of 4 points. If the last check passes, then full credits are
granted. Otherwise, partial credits might be granted if only some checkpoints are
completed.
## Checkpoint 1 (1 point)
Check if the file `/workspace/openhands_short.pdf` exists.
## Checkpoint 2 (1 point)
Open `/workspace/openhands_short.pdf` and verify that the page count is 17.
## Checkpoint 3 (1 point)
Each page in `/workspace/openhands_short.pdf` should match the expected content in an existing reference file or predefined standard. | [
"owncloud"
] | ghcr.io/theagentcompany/admin-remove-pages-pdf-image:1.0.0 |
admin-translate-sales-chat | admin | Administrator | file_management | You are an admin looking for an office for our company's new branch in China. Mandy
helped with some initial search, but she just left our company. A screenshot
of her chat history with a local sales is available on http://the-agent-company.com:8092/.
You can find an image named "office_sales_chat_history.jpg" under Documents/Admin directory.
Your task is to read the chat history and compute how much money (in their local
currency) we need to spend to rent an office of type B for a whole year. Please
write down the answer in /workspace/ans.txt. Don't convert the amount to USD.
Just write down the answer, don't include any computation steps. Please round the number to the nearest integer. | # Checkpoints
This task has 4 points in total.
## Checkpoint 1 (4pts)
4 points would be granted for the correct answer: 145095 (RMB). A 2% precision error
is allowed since this involves floating point computation (square feet to
square meters).
2 points would be granted for a close answer: 10% error is considered as close. | [
"owncloud"
] | ghcr.io/theagentcompany/admin-translate-sales-chat-image:1.0.0 |
admin-watch-video | admin | Administrator | file_management | You are an admin looking for a office for our company's new branch. Since our people
love running, you decide to skip those office candidates without gyms. One salesperson sent
you a video of their gym. Find gym.mp4 on http://the-agent-company.com:8092/ and count
how many treadmills it has. Write down your answer (a number, nothing else) in
/workspace/ans.txt | # Checkpoints
This task has 2 points in total.
## Checkpoint 1 (2pts)
2 points is granted for the correct answer: 4.
The gym indeed only has 4 treadmills, but one might miscount due to the mirror. | [
"owncloud"
] | ghcr.io/theagentcompany/admin-watch-video-image:1.0.0 |
bm-classify-nationality | bm | Business Management | communication | Please check the "Documents/Data Analysis/Customer.xlsx" spreadsheet available at http://the-agent-company.com:8092.
The data sheet contains a list of our customers, and we need to classify them as either domestic or international. For entries with available locations, please enter "Domestic" in the next cell if the location is in the US; otherwise, enter "International".
Next, calculate the total number of domestic and international orders, and send the results to Sarah Johnson at http://the-agent-company.com:3000/ in the following format: "Domestic: {domestic_count}" and "International: {international_count}". | # Checkpoints
This task has 6 points in total. Partial credits might be granted if only some checkpoints are
completed.
## Checkpoint 1 (1pts)
Check if the agent visits the "Customer.xlsx" file on owncloud
## Checkpoint 2 (2pt)
Check if all orders are classified correctly (can give partial score if only solved some of them correctly)
## Checkpoint 3 (1pt)
Check if the agents has a conversation with Sarah Johnson about customer orders
## Final checkpoint (2pts)
Check if the agent delivered the correct domestic and international order numbers to Sarah Johnson | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/bm-classify-nationality-image:1.0.0 |
ds-answer-numerical-data-question | ds | Data Scientist | file_management | One of our clients doing beverage-related commercials has requested us to conduct this data analysis for them.
Specifically, find the `beverage_stats.xlsx` under `Documents/Data Analysis` in cloud drive, and answer the following questions:
1. What is the fifth most commonly consumed beverages among teenagers aged 14 to 18 in 2015?
2. what is the average percentage of children and teenagers drinking water in 2015?
3. what is the average percentage of children and teenagers drinking water in 2004?
Answer each question with a short phrase and separate answers by lines.
Write the responses to `/workspace/answer.docx` for ease of future revision.
Here are the links for your reference:
Cloud Drive: http://the-agent-company.com:8092 | # Checkpoints
This task has 6 points in total
## Checkpoing 1 (2pts)
The agent correctly answers the question 1 (Tea (including ice tea)).
## Checkpoint 2 (2pts)
The agent correctly answers the question 2 (88.475)
## Checkpoint 3 (2pts)
The agent correctly answers the question 3 (74.775) | [
"owncloud"
] | ghcr.io/theagentcompany/ds-answer-numerical-data-question-image:1.0.0 |
ds-answer-spreadsheet-questions | ds | Data Scientist | communication | Our clients required us to perform some data analysis and deliver the results. Find the 'agriculture.xlsx' file under `Documents/Data Analysis` at http://the-agent-company.com:8092/, and answer the following questions:
What is the marital status for the majority of New Brunswick's agricultural workers, both English-language and French-language workers in 2011?
In 2011,which sector of workers were more likely to be in a common-law relationship?
Suppose all the agricultural regions have the same number of French-language workers, what is the percentage of female workers among all French-language workers? Round your answer to 2 decimal places.
Answer each question with a short phrase and separate answers by lines.
Go to the Rocket.Chat web at http://the-agent-company.com:3000/home and send the answers to Li Ming for check. | # Checkpoints
## Checkpoint 1 (1 pt)
Confirmed the agent visited the file link on ownCloud
## Checkpoint 2 (1 pt)
Confirmed that agent has conversation history with Li Ming
## Checkpoint 3 (1 pt)
Confirmed question 1 answer ("Married") is mentioned in the conversation with Li Ming
## Checkpoint 4 (1 pt)
Confirmed question 2 answer ("French-language workers") is mentioned in the conversation with Li Ming
## Checkpoint 5 (1 pt)
Confirmed question 3 answer ("37.67") is mentioned in the conversation with Li Ming | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/ds-answer-spreadsheet-questions-image:1.0.0 |
ds-calculate-spreadsheet-stats | ds | Data Scientist | communication | Check all the spreadsheet under the "Data Analysis" folder at http://the-agent-company.com:8092?dir=/Documents
Write a python program to calculate the average number of rows and columns for all the spreadsheet files. If a file has multiple sheets, count all the tables in all sheets. Save your python script to "/workspace/data_stats.py" as reference for the calculation process.
Then, inform Jessica Lee that you have finished the analysis. Send her the statistics in the format:
Average Rows: Average Number of Rows rounded of 2 decimal places
Average Columns: Average Number of Columns rounded of 2 decimal places
Also, send her a message on http://the-agent-company.com:3000/ saying "Analysis Finished. Script can be found at script_path" Replace script_path with the path of the data anlysis script. | # Checkpoints
This task has 5 points in total.
## Checkpoint 1 (1pts)
Check if "/workspace/data_stats.py" exists
## Checkpoint 2 (3pts)
Check if the reported numbers of average row/column counts are correctly reported in rocketchat conversation with Jessica Lee
## Checkpoint 3 (1pts)
Check if the agents has a conversation with Jessica Lee that informs finished analysis and correct script path | [
"owncloud",
"rocketchat"
] | ghcr.io/theagentcompany/ds-calculate-spreadsheet-stats-image:1.0.0 |
ds-coffee-shop-database-management | ds | Data Scientist | file_management | One of our clients is a coffee shop chain and they require your help as a database analyst . The company has provided you with csv files that are uploaded on OwnCloud under 'Documents/Data Analysis/Coffee Shop'. You will need to download the csv files to the workspace directory and create a table for each of these csv files making sure of the following details : the sqlite database should be created in /data/coffee_shop.db, the table names should match the csv file names and the column names should exactly match the columns in the csv files. You will then need to create 2 views. First, v_short_stock with the columns 'product_id', 'quantity_in_stock' and 'reorder_point' that contain only the products which should be reordered. Second, view v_sales with the columns 'product_id', 'average_sales', 'revenue_generated' and 'profit_generated' that contain sales details for each product. When creating tables and views, round floating point numbers to 2 decimal points. Finally, you need to download the analysis.txt file from OwnCloud to the workspace. You can find it at the same location as the csv files. You need to replace <ANSWER HERE> with the correct answers in the analysis.txt file.
OwnCloud can be accessed at: http://the-agent-company.com:8092 | # Checkpoints
This task has 7 points in total.
## Checkpoint 1 (1pts)
Downloaded all csv files from OwnCloud to the workspace folder.
## Checkpoint 2 (2pt)
All tables created correctly.
## Checkpoint 3 (2pt)
A view named 'v_short_stock' of items that need reordering with columns 'product_id', 'quantity_in_stock' and 'reorder_point' with correct data is created.
## Checkpoint 4 (2pt)
A view named 'v_sales' with columns 'product_id', 'average_sales', 'revenue_generated', 'profit_generated' with correct data on average daily sales and total product revenue is created.
## Checkpoint 5 (3pt)
Agent correctly downloaded and filled the analysis.txt sheet in the workspace directory. | [
"owncloud"
] | ghcr.io/theagentcompany/ds-coffee-shop-database-management-image:1.0.0 |
ds-find-meeting-spreadsheet | ds | Data Scientist | file_management | The next meeting for The Agent Company needs to discuss using AI to predict the seed area of field crops in Canada. But the team could not find the file now, which should be one of the Excel spreadsheets under the "Data Analysis" document folder on owncloud (http://the-agent-company.com:8092).
Please help find the target file (create a `link.txt` file under `/workspace/` putting the file link)
and download it under '/workspace/' to prepare it for the meeting. | # Checkpoints
This task has 2 points in total.
## Checkpoint 1 (1pts)
The agent includes a `link.txt` file under `/workspace/` with the correct file link.
## Checkpoint 2 (1pts)
The agent successfully downloads the target file called `Seed Area Estimates.xlsx` under `/workspace/`. | [
"owncloud"
] | ghcr.io/theagentcompany/ds-find-meeting-spreadsheet-image:1.0.0 |
ds-fix-table-values-and-missing-answers | ds | Data Scientist | file_management | The company needs to clean the spreadsheet and answer questions based on a client's request, which are specified as follows:
First, find the "Other Corp Area Totals.xlsx" spreadsheet under `Documents/Data-Analysis` at Cloud Drive. There are some missing values in the "data" sheet, fix those values by putting in "0"s.
Then, check the list of questions below the table, put in the answers in the corresponding answer cell. You can use Excel formula if it makes the calculation process easier.
Correct the Excel, write down your answer to the question and save to `/workspace/corrected_other_corp_area_totals.xlsx`
For your reference, the cloud drive link is http://the-agent-company.com:8092 | The task has 6 points in total
1. [2pts] Check if all missing values (previously 'x') are replaced with "0"
2. [2pts] Check if question 1 is correctly answered with "2809" or formula "=B5"
3. [2pts] Check if question 2 is correctly answered with "98.8%" or formula "=H18/B18" | [
"owncloud"
] | ghcr.io/theagentcompany/ds-fix-table-values-and-missing-answers-image:1.0.0 |
ds-format-excel-sheets | ds | Data Scientist | file_management | Find the `respondent_counts.xlsx` file under `Documents/Data Analysis` on Owncloud (http://the-agent-company.com:8092), and based on the source "unformatted" sheet, create a "formatted" sheet and make formatting edits based on the following requirements:
1. Change the background color of top-header cells to skyblue (#87CEEB)
2. Make sure all cell values are horizontally centered in their cells
Do not change the "unformatted" sheet, only make changes in the "formatted" sheet.
Save all your changes to `respondent_counts.xlsx` on owncloud. | # Checkpoints
## Checkpoint 1 (1 pt)
Confirmed that the "unformatted" sheet remain unchanged
## Checkpoint 2 (1 pt)
Confirmed that a new sheet "formatted" is created and the content is the same as the "unformatted" sheet.
## Checkpoint 3 (1 pt)
Confirmed the background color of the top-header cells is skyblue (#87CEEB).
## Checkpoint 4 (1 pt)
Confirmed all cell values are horizontally centered in their cells. | [
"owncloud"
] | ghcr.io/theagentcompany/ds-format-excel-sheets-image:1.0.0 |
ds-janusgraph-exercise | ds | Data Scientist | code | Your task is to implement a company's organizational chart using JanusGraph graph database.
1. Clone JanusGraph repository (http://the-agent-company.com:8929/root/janusgraph) under /workspace folder
2. Launch JanusGraph server and ensure it's running on port 8182 with websocket mode
3. Create an organization structure in JanusGraph that matches exactly with the hierarchy shown in employee_diagram.jpg (provided under /workspace folder)
You need to:
1. Create vertices for each employee with properties:
- label: 'person'
- name: employee's full name
- title: employee's job title
2. Create edges between employees to represent reporting relationships:
- edge label: 'reports_to'
- direction: from subordinate to manager
The graph must match the exact structure and relationships shown in employee_diagram.jpg. | # Checkpoints
This task has 4 points in total. Partial credits might be granted if only some checkpoints are completed.
## Checkpoint 1 (1pt)
Check if repo is cloned under /workspace folder
## Checkpoint 2 (1pt)
Check if the JanusGraph is running on port 8182 under websocket mode
## Checkpoint 3 (4pts)
Check if the data created matches exactly with the hierarchy shown in employee_diagram.jpg | [
"gitlab"
] | ghcr.io/theagentcompany/ds-janusgraph-exercise-image:1.0.0 |
ds-merge-multiple-sheets | ds | Data Scientist | communication | One of our customers needs help on organizing and analyzing their data about sugar consumption.
Find the 'total-sugar-sources.xlsx' under "/Documents/Data Analysis" on owncloud(http://the-agent-company.com:8092), and 'Top Sources of Total Sugars.xlsx' in the same directory.
Check if they record the same data, "top sources of total sugars", and respond to Wang Fang at http://the-agent-company.com:3000/. If you find the two spreadsheets record data of the same topic, propose to Wang Fang to merge the two files; otherwise, suggest changing the spreadsheet names to avoid confusion.
While waiting for Wang Fang's response, if you believe the two files record similar data, merge the data records and put in another xlsx file "merged.xlsx", save it locally under "/workspace/". Don't upload the file to owncloud unless Wang Fang requests so. | # Checkpoints
This task has 2 checkpoints.
## Checkpoint 1 (1pt)
The agent proposes merging the sheets to the designated NPC on RocketChat.
## Checkpoint 2 (2pt)
/workspace/merged.xlsx exists and contains the correct merged data. | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/ds-merge-multiple-sheets-image:1.0.0 |
ds-organise-report-sus-data | ds | Data Scientist | communication | We have a collection of spreadsheet data files under the "Data Analysis" folder at http://the-agent-company.com:8092?dir=/Documents. However, their names are inconsistent, with some being confusing or non-interpretable. Your task is to review the files in the "Data Analysis" folder and identify those with the following naming issues:
1. Files without Meaningful Names: Files with names that lack context or interpretability (e.g., a random list of characters, numbers or symbols) are to be avoided. Examples: `"rxuts 31t3b.xlsx"`.
2. Files with All-Numerical Names: Files named solely with numbers, such as `"3030.xlsx"`, should be avoided.
3. Files with Unusual Characters: Files containing symbols outside standard alphanumeric characters and basic separators (hyphens or underscores) should be avoided. Examples of unusual characters include: `;`, `!`, `@`, `#`, `~`, etc.
Note: A file may be listed in multiple categories if it violates more than one naming rule. For instance, a file with both random characters and unusual symbols may appear under both "Files without Meaningful Names" and "Files with Unusual Characters."
Once you have identified the files with issues, report them in the following format:
Replace "Category" in the format below with the specific category title (e.g., "Files without Meaningful Names," "Files with All-Numerical Names," or "Files with Unusual Characters") and include each file’s name along with its extension:
```
Category: file_name_1.xlsx, file_name_2.xlsx, ...
```
Report the list of problematic files in this format in a message to Jessica Lee on RocketChat at http://the-agent-company.com:3000. | # Checkpoints
This task has 5 points in total.
## Checkpoint 1 (1pts)
Check if the agent visits the link of "Data Analysis" folder
## Checkpoint 2 (1pt)
Check if the agent reports to Jessica Lee on RocketChat
## Checkpoint 3 (1pt)
Check if the list of names for files without meaningful names are correct
## Checkpoint 4 (1pt)
Check if the names for files with all numerical names are correct
## Final Checkpoint (1pt)
Check if the names for files with unusual characters are correct | [
"owncloud",
"rocketchat"
] | ghcr.io/theagentcompany/ds-organise-report-sus-data-image:1.0.0 |
ds-predictive-modeling | ds | Data Scientist | file_management | On our office cloud at http://the-agent-company.com:8092/, find "/Documents/Financials/stock_train_raw.csv",
build a machine learning pipeline in scikit-learn to predict the daily closing price of stock.
Save your model's predictions to the test data "/Documents/Financials/stock_test.csv" as "/Documents/Financials/stock_test_answer.csv"
with one column named "Close Price". You will be evaluated on Mean Squared Error
(MSE), Mean Absolute Error (MAE), and R² score, with a focus on maximizing the R² score. | # Checkpoints
This task has 3 points in total.
## Checkpoint 1 (3pts)
3 credit granted if MSE < 500, MAE < 10, R^2 score > 0.8
2 credits granted if MSE < 550, MAE < 20, R^2 score > 0.7
No credits granted if MSE > 550, MAE > 20, R^2 score < 0.7 | [
"owncloud"
] | ghcr.io/theagentcompany/ds-predictive-modeling-image:1.0.0 |
ds-sql-exercise | ds | Data Scientist | planning | As our first data scientist intern, we designed a simple SQL exercise for you to help you get your hands dirty.
You are provided with a SQL database containing product data. Write three SQL queries to analyze the data and write the answer in 3 txt files, one for each task (file names should be task1.txt, task2.txt, task3.txt, respectively). The txt files should be placed under `/workspace` directory. The exercise database is located at /data/database.db. You can access it using the SQLite command line tool.
Task 1: Find the total number of products in the database
Task 2: Find how many different product categories exist
Task 3: Find the top 3 most expensive products in the Electronics category. Show only product name and price in each line (e.g.
"A", 123.45,
"B", 12.34,
"C", 1.23
) with two digits | # Checkpoints
This task has 6 points in total.
## Checkpoint 1 (1pts)
Check the total number of products is the same as expected.
## Checkpoint 2 (2pt)
Check total number of different product categories is the same as expected.
## Checkpoint 3 (3pt)
Check the top 3 most expensive products' name and price are correct and in correct order | [] | ghcr.io/theagentcompany/ds-sql-exercise-image:1.0.0 |
ds-stock-analysis-slides | ds | Data Scientist | file_management | On our office cloud at http://the-agent-company.com:8092/, analyze the stock trend in /Documents/Financials/stock_data_raw.csv, create an informative, business-style presentation of stock price data for the company board members.
* Data Preparation: Use the provided stock data, ensuring it is clean and suitable for analysis. Handle any missing or inconsistent values appropriately. Save the cleaned data as /Documents/Financials/stock_presentation/stock_cleaned.csv
* Create Visualizations:
* Closing Prices Over Time: Display the stock's closing prices over time to show the overall trend.
* Close Price with 50 and 200-Day Moving Averages: Overlay the 50-day and 200-day moving averages onto the closing price plot. This will provide insights into short-term vs. long-term trends.
* Correlation Between Columns: Visualize the correlation matrix between variables, with a focus on the relationship between price, volume, and returns.
* Daily Return Distribution: Calculate and plot the daily returns (percentage change between closing prices on consecutive days) to highlight the volatility and risk associated with the stock.
* Volume Distribution: Plot the distribution of trade volumes to identify trends in stock interest over time.
* Presentation Preparation:
* Create clean, professional slides with pptx. Each plot should be on a separate slide, clearly labeled, and accompanied by brief explanations. Save as /Documents/Financials/stock_presentation/stock_analysis.pptx.
* Write a script for the presenter to guide the audience through the trends observed in each visualization. Each slide is described and analyzed. Save as /Documents/Financials/stock_presentation/stock_analysis_script.md. | # Checkpoints
This task has 8 points in total.
## Checkpoint 1 (1pts)
The data is cleaned, formatted, with nan values removed.
## Checkpoint 2 (5pt)
The slides include all 5 images correctly plotted.
Each plot should be on a separate slide, clearly labeled, and accompanied by brief explanations.
Content on each slide does not go over the edge of the slide.
## Checkpoint 3 (2pt)
The script has clear introductions, addressing and greeting the audiences, and provide presentation context for them,
and is ended by closing comments that expresses grattitudes for audiences to be present to the meeting.
Moreover, the script has correspondence to each slide clearly, and the business context and impact for each graph are analyzed. | [
"owncloud"
] | ghcr.io/theagentcompany/ds-stock-analysis-slides-image:1.0.0 |
ds-visualize-data-in-pie-and-bar-chart | ds | Data Scientist | file_management | Find "Documents/Data Analysis/Number of Agri Ops.xlsx" spreadsheet at "http://the-agent-company.com:8092/index.php/apps/files". Create visualizations for the agricultural operations w.r.t. vegetable crop categories in 2011 and 2016, respectively. Particularly, draw a pie chart for 2011 data and a bar chart for 2016. Save the chart figures as '/workspace/2011_pie.png' and '/workspace/2016_bar.png'. | # Checkpoints
This task has 2 checkpoints.
## Checkpoint 1 (2pts)
'/workspace/2011_pie.png' contains the right pie chart.
## Checkpoint 2 (2pts)
'/workspace/2016_bar.png' contains the right bar chart. | [
"owncloud"
] | ghcr.io/theagentcompany/ds-visualize-data-in-pie-and-bar-chart-image:1.0.0 |
finance-apply-tax-credit | finance | Financial Staff | communication | Navigate to owncloud at http://the-agent-company.com:8092. To apply for the R&D tax credit, complete Section B—Alternative Simplified Credit of IRS Form 6765 located at "/Documents/Financials/f6765.pdf". Gather the necessary information to fill out the form via "/Documents/Financials/TAC_financials.csv" and local file "/workspace/research_wages.csv". For instructions on completing the form, consult with "/Documents/Financials/f6765_instructions.pdf". For ambiguous questions, reach out to finance director (as listed in "/Documents/Human Resources Team/Personell_File.odt") on Rocketchat at http://the-agent-company.com:3000/home.
Store the filled form as "/workspace/filled_f6765.pdf" locally, no need to upload to owncloud. | # Checkpoints
This task has 8 points in total.
## Checkpoint 1 (5pt)
16 questions in the form has been answered correctly.
## Checkpoint 2 (3pt)
If the correct finance director is contacted (David Wong) to answer ambiguous questions (1. whether we are electing the reduced credit under section 280C, 2. whether we have research expenses for the prior 3 tax years). For any other questions, David Wong will answer "please find payments in TAC_financials.csv" | [
"owncloud",
"rocketchat"
] | ghcr.io/theagentcompany/finance-apply-tax-credit-image:1.0.0 |
finance-budget-variance | finance | Financial Staff | file_management | Navigate to owncloud at http://the-agent-company.com:8092.
* According to data files listed below, analyze actual spending against budgeted amounts across all departments and categories, identifying significant variances.
* /Documents/Financials/budget.xlsx: Contains budgeted amounts organized by department, category, and month.
* /Documents/Financials/actual_spending.xlsx: Contains actual spending data.
* Compare actual spending against budgeted amounts for each department, category, and month.
* Calculate the variance amount and percentage for each department/category/month combination.
* Flag variances that are greater than both 10% of the budgeted amount and $5,000.
* Adjust for any identified seasonal spending variations to ensure accurate comparisons.
* Create an Excel file at /Documents/Financials/flagged_variances.xlsx with a column titled Flagged_Variances. This column should contain unique identifiers for each significant variance, in the format Department_Category_YYYYMM | # Checkpoints
This task has 4 points in total.
## Checkpoint 1 (1pt)
budget.xlsx and actual_spending.xlsx have been accessed as references.
## Checkpoint 2 (3pt)
The solution file flagged_variances.xlsx has been created in the Financials directory with all significant variances, with a column "Flagged_Variances" formatted as Department_Category_YYYYMM.
* All variances exceeding 10% and $5,000 have been accurately flagged.
* Seasonal variations have been accounted for in the variance analysis where applicable. | [
"owncloud"
] | ghcr.io/theagentcompany/finance-budget-variance-image:1.0.0 |
finance-check-attendance-payroll | finance | Financial Staff | file_management | Navigate to owncloud at http://the-agent-company.com:8092.
* Use the provided "april-attendance-data.csv" spreadsheet in owncloud's "Documents/Human Resources Team/Attendance" folder, and the pay rates information in "salary-rates.pdf" file in the same folder to calculate the total earnings for each employee based on the number of hours that they have worked in total.
* We want to be generous and round up their total work hours to the next nearest integer value. However, be careful not to round up their work hour for each individual day. Only round up the total.
* Create a report called "april-payroll.xlsx" in the local /workspace directory. You must make sure that it is a xlsx file.
* In the report, have columns with names 'Name' and 'Total Earnings'. | # Checkpoints
This task has 3 points in total.
## Checkpoint 1 (1pt)
The attendance sheet and the pay rate information are referenced to extract the required data.
## Checkpoint 2 (1pt)
A new document named "april-payroll.xlsx" is created in the /workspace directory, with
columns named 'Name', and 'Total Earnings'.
## Checkpoint 3 (1pt)
The statistics are calculated correctly. | [
"owncloud"
] | ghcr.io/theagentcompany/finance-check-attendance-payroll-image:1.0.0 |
finance-create-10k-income-report | finance | Financial Staff | communication | Navigate to the folder /Documents/Financials/Annual%20Reports/10Ks on Owncloud (http://the-agent-company.com:8092)
Here you wil find 10K annual reports for multiple tech companies. Extract the net income data for each company from their 10-K reports (in section/item 8) for the years 2021, 2022, and 2023, and compile it into a structured table.
The table should be in a csv format and should have the following column strucutre:
- 'Company Name': The company name according to the name of registrant as specified in its charter document.
- 'Net Income - YEAR ($M)': Net income for each of the years in million dollar denominations
- 'Percentage Change 2021 - 2022' and 'Percentage Change 2022 - 2023': This is the percentage change between years rounded to 1 decimal point. Save it as /workspace/net_income_report.csv
Once that is compiled send the path of this table to David Wong, the head of finance on Rocketchat - http://the-agent-company.com:3000/. With this, suggest to him which company we should invest in based on the company that had the largest percentage growth in net income between 2022-2023. | # Checkpoints
There are 5 checkpoints in total.
## Checkpoint 1 (1 point)
Navigated to correct folder on Owncloud
## Checkpoint 2 (1 point)
Reported table contains all company names that match legal entity on 10k document
## Checkpoint 3 (1 point)
Reported table has correct structure, matches all required columns and has correct format
## Checkpoint 4 (2 point)
Reported table matches exact numbers and calculation
## Checkpoint 5 (1 point)
Messages David Wong with the correct path and company with highest growth from 2022-2023 | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/finance-create-10k-income-report-image:1.0.0 |
finance-expense-validation | finance | Financial Staff | file_management | Review and validate expense categorization for all company transactions to ensure compliance with expense policies.
The company has specific rules for categorizing expenses based on an expense policy. Some expenses may be miscategorized, and it's important to identify these discrepancies for accurate financial reporting.
Navigate to owncloud on http://the-agent-company.com:8092/ and navigate to the folder Documents/Financials/Expenses. Here you will find two files:
1. `expenses.xlsx`:
2. `category_rules.txt`
Your job is to:
1. Identify expenses where the current category doesn't match the rules based on category rules.
2. Create a file called expenses_corrected.xlsx saved in the /workspace folder. This should be the same as expenses.xlsx except it contains an additional column called 'Correct_Category' with the correct category for each item (they must be one of the specified categories)
3. Using the corrected transactions create an analysis report in workspace/expenses_analysis that is a csv with the following structure:
- 'Category': The expense category
- 'Total_Amount': Which is the total amount spent for that category
- 'Number_of_Employees': The number of employees that have made an expense for that category
- 'Cost_Per_Employee': Which is just the total amount divided by the number of employees, rounded to 2 decimal places | # Checkpoints
This task has 4 points in total.
## Checkpoint 1 (1pt)
The trajectory includes the correct owncloud file path for accessing the necessary documents.
## Checkpoint 2 (1pt)
The corrected expenses in `expenses_corrected.xlsx` accurately reflect the necessary adjustments based on the categorization rules.
## Checkpoint 3 (1pt)
The structure of the expense analysis report in `workspace/expenses_analysis` is correct, following the specified CSV format.
## Checkpoint 4 (1pt)
The calculations and values in the expense analysis report are correct, including total amounts, number of employees, and cost per employee for each category. | [
"owncloud"
] | ghcr.io/theagentcompany/finance-expense-validation-image:1.0.0 |
finance-find-signatories | finance | Financial Staff | communication | Navigate to the Rocketchat website at http://the-agent-company.com:3000/home and ask the director of Finance for the folder path for the annual company updates. You can navigate to the path provided through Owncloud, using this link http://the-agent-company.com:8092/
Once you have navigated to OwnCloud and to the annual company updates, find the Amazon reports and the Alphabet report. Your job is to create a CSV table of all the signatures within these reports.
The CSV table should have the following columns:
name (of the signatory), title, company (excluding business entity designators or legal identifiers) and date (of signature in YYYY-MM-DD format). Save this file as 'signatories.csv' in the '/workspace' folder.
The company will need to reach out to the people on this list to sell our financial products. Reach out to the director of sales providing this table. Include the path of where the csv is saved and tell the director of sales how many people we need to reach out to. | # Checkpoints
This task has 5 points in total. If the last check passes, then full credits are
granted. Otherwise, partial credits might be granted if only some checkpoints are
completed.
## Checkpoint 1 (1pt)
Reach out to David Wong (director of Finance) to get the path to the company annual reports folder.
## Checkpoint 2 (1pt)
Confirm that the agent navigates to the correct directory on Owncloud.
## Checkpoint 3 (1pt)
Check that the agent creates the file 'signatories.csv' in the '/workspace' folder.
# Checkpoint 4 (1pt)
Validate that the csv is correctly formatted - Make sure it has all the columns required and contains the correct amount of signatures.
# Checkpoint 5 (1pt)
Verify that Mark Johnson, the director of sales, was contacted and provided with the path to the file and the agent includes the number of signatories in the message. | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/finance-find-signatories-image:1.0.0 |
finance-invoice-matching | finance | Financial Staff | file_management | Navigate to owncloud at http://the-agent-company.com:8092. Find the provided payments file at "/Documents/Financials/payments.xlsx" and the invoice PDFs in the directory "/Documents/Financials/invoices_pdfs".
Perform the following:
* Parse Payment References: Extract and match each payment in the Excel file to its corresponding invoice(s) based on references.
* Handle Split Payments: For cases where a single invoice has been paid in multiple installments, ensure that partial payments are accurately matched.
* Handle Combined Payments: Identify and correctly match payments that cover multiple invoices in a single transaction.
* Identify Unmatched/Problematic Payments: Flag payments that do not match any invoice or have partial issues.
Create a file at /Documents/Financials/flagged_payments.xlsx with columns "Payment_ID" and "Issue". "Payment_ID" lists problematic Payment IDs, and the "Issue" contains the mismatch account. In the last row for of the "flagged_payments.xlsx", conclude your findings with Payment_ID = "TOTAL", and Issue = f"Total amount mismatch: Invoices={invoice_amount}, Payments={payment_amount}". | # Checkpoints
This task has 5 points in total.
## Checkpoint 1 (1pt)
Use "invoice_pdfs" and "payments.xlsx" as references.
## Checkpoint 2 (2pt)
"flagged_payments.xlsx" is created in the financials folder, with the "Payment_ID" and "Issue" columns. The columns are filled and correctly formatted, with the last row in the following format: Payment_ID = "TOTAL", and Issue = "Total amount mismatch: Invoices={invoice_amount}, Payments={payment_amount}".
## Checkpoint 3 (2pt)
Correctly calculated the total mismatched amount in the final row: "Total amount mismatch: Invoices=2769534.09, Payments=2769323.43". Located all mismatched Payment_IDs. | [
"owncloud"
] | ghcr.io/theagentcompany/finance-invoice-matching-image:1.0.0 |
finance-nonqualified-bill-ask-for-reimburse | finance | Financial Staff | file_management | Find the provided bill in /Documents/Financials/bill.pdf on owncloud(http://the-agent-company.com:8092). Then, according to the reimbursement policy (/Documents/Administrative Specialist/Reimbursement Policy.pdf), check if it is qualified for reimbursement. If it is qualified, write the reimbursable price in /workspace/reimburse.txt. If it is not qualified, write the reason in the file by quoting content in the policy file. | # Checkpoints
## Checkpoint 1 (2 point)
Confirmed writing in the file that (1) the bill is not qualified for reimbursement, and (2) the reasons for unable to reimburse the bill is because it is a credit card statement, which is not supported for reimbursements.
Note that the bill is not a real statement, but a AI-generated fake one. So from the automation perspective, this bill is not qualified for reimbursement too. | [
"owncloud"
] | ghcr.io/theagentcompany/finance-nonqualified-bill-ask-for-reimburse-image:1.0.0 |
finance-qualified-bill-ask-for-reimburse | finance | Financial Staff | communication | Find the receipt for reimbursement in /Documents/Financials/receipt.jpg on owncloud(http://the-agent-company.com:8092).
Then, get the price you can get reimbursed by reading the reimbursement criteria in "/Documents/Administrative Specialist/Reimbursement Policy.pdf"
Talk to Mike Chen on RocketChat (http://the-agent-company.com:3000/) and inform him of the price you can reimburse for the receipt. | # Checkpoints
## Checkpoint 1 (1 point)
Confirm the agent has accessed the provided receipt on owncloud.
## Checkpoint 2 (1 point)
Confirm the agent has visited owncloud and read the reimbursement criteria.
## Checkpoint 3 (1 point)
Confirmed conversation with Mike Chen.
## Checkpoint 4 (2 point)
Confirmed conversation about the correct reimbursable price ($215) in the chat with Mike Chen. | [
"owncloud",
"rocketchat"
] | ghcr.io/theagentcompany/finance-qualified-bill-ask-for-reimburse-image:1.0.0 |
finance-r-d-activities | finance | Financial Staff | communication | Navigate to ownCloud at http://the-agent-company.com:8092
The administrators of TAC would like to assess if TAC qualifies for the Research and Development (R&D) Tax Credit, which helps offset tax liabilities by incentivizing investments in innovation. To support this application, complete the following documentation:
- According to /Documents/Human Resources Team/Personnell_File.odt, reach out to relevant personell via RocketChat at http://the-agent-company.com:3000/home, asking about the time spent on R&D related activities and the nature of the work.
- Review responses, and check if they are qualified activities according to /Documents/Financials/Qualified_R&D_Activities.md.
- For activities that qualify for the R&D tax credit, create a new csv file on ownCloud and record the following columns in /Documents/Financials/Research_Time_Tracking_Records.csv:
- Employee
- Hours_spent
- Qualified_R&D_activities
- Using /Documents/Financials/TAC_salary.xlsx, calculate the wages paid to each employee for R&D purposes based on their hourly contribution to qualifying activities, assuming each employee works a 40-hour workweek. Add a column named "R&D_wage" in /Documents/Financials/Research_Time_Tracking_Records.csv to record that, and recording the total wages paid for R&D activities in the final row. | # Checkpoints
This task has 6 points in total.
## Checkpoint 1 (2pt)
* Relevant personell are contacted with the correct questions asked. Partial credits granted to only part of the employees reached.
## Checkpoint 2 (4pt)
In the Research_Time_Tracking_Records.csv:
* The employees with qualified activities are correctly identified. Partial credits granted to partially identified. (2pt)
* The final R&D wages and individual R&D wages are calculated correctly. Partial credits granted to partially correct answers. (2pt) | [
"owncloud",
"rocketchat"
] | ghcr.io/theagentcompany/finance-r-d-activities-image:1.0.0 |
finance-revenue-reconciliation | finance | Financial Staff | communication | Your task is to match revenue recognition schedules with contract values to identify any discrepancies in revenue timing or amounts. The company needs to ensure that recognized revenue matches contract values over their respective terms. Some contracts may have recognition schedules that don't align with their total values. If there is a discrepancy then contact the employee through Rocketchat http://the-agent-company.com:3000/home
Navigate to Documents/Human Resources Team/Contracts on Owncloud (http://the-agent-company.com:8092/) and find the following files:
1. `contracts.xlsx`
2. `revenue_schedule.xlsx`
For each contract, sum up all revenue recognition entries
- Compare total recognized revenue against the contract value
- Identify contracts where:
- Total recognized revenue doesn't match contract value (within a small tolerance)
- Recognition schedule doesn't align with contract term
- Account for contracts with different terms and payment schedules
Create `flagged_contracts.xlsx` saved in the /workspace folder with column 'Flagged_Contracts' which has Contract IDs with recognition discrepancies.
To contact the employees with flagged contracts, use the employee_contracts.xlsx file to find which employees have flagged contracts. | # Checkpoints
This task has 4 points in total.
## Checkpoint 1 (1pt)
Verify that the trajectory includes the correct ownCloud file path: "Documents/Financials/Contracts".
## Checkpoint 2 (1pt)
Ensure that the `flagged_contracts.xlsx` file is created in the `/workspace` directory.
## Checkpoint 3 (1pt)
Check that the flagged contracts in `flagged_contracts.xlsx` match the reference contracts.
## Checkpoint 4 (1pt)
Confirm that employees with flagged contracts have been contacted via RocketChat. | [
"owncloud",
"rocketchat"
] | ghcr.io/theagentcompany/finance-revenue-reconciliation-image:1.0.0 |
finance-substantial-presence-test | finance | Financial Staff | communication | As a financial consultant, one of your daily tasks is to help our employees with their adhoc tax questions.
Huang Jie, your coworker who is a foreigner working in the US, is not sure if they need to report their income as tax resident or non-resident. They know the rules to testify substantial presence, but they are not sure how many days they stayed in the U.S. in 2023. Under /workspace folder, you could find their travel history in 2023. Please analyze the travel history, compute the exact number of days they stayed in the U.S. in 2023. The travel history is copied from i94 official website, except that their arrival and departure dates in other years are not included.
Please reach out to Huang on RocketChat (http://the-agent-company.com:3000/) and tell them the answer. Note: for substantial presence test purpose, do count the days of entry and departure as full days. | # Checkpoints
This task has 2 points in total.
## Checkpoint 1 (1pt)
Had a conversation with Huang Jie
## Checkpoint 2 (1pt)
The conversation contains the correct answer, 303 days. | [
"rocketchat"
] | ghcr.io/theagentcompany/finance-substantial-presence-test-image:1.0.0 |
hr-analyze-outing-bills | hr | Human Resources | communication | The company has gone on several team lunches and dinners. Help record and organise these. Locate all receipts under the directory Documents/Financials/outings on Owncloud (http://the-agent-company.com:8092) in any format (e.g., .jpg, .png, .pdf).
Next, create a structured Excel sheet with the following columns:
1. Receipt ID (auto-generate a unique identifier for each receipt).
2. Establishment
3. Address
4. Datetime (in m/d/yy h:mm format)
5. Items Ordered (all the items in a list)
6. Number of Items
7. Total Amount (use the after tax value, store as integers, no need for dollar sign just the value)
Save the file as Organized_Outings_Receipts.xlsx locally in /workspace directory.
Also, perform analysis to help understand the spendings.
Next create a line graph showing the change in spending during outings over time and save this as outings_graph.png in the /workspace folder.
Ping HR Chen Xinyi on Rocketchat at https://the-agent-company.com:3000/home with inks of the excel sheet and the word document, as well as a general trend of the total spending over time (increases, decreases, no difference, etc.) | # Checkpoints
This task has 7 points in total.
## Checkpoint 1 (1pt)
Check if the agent visits the correct path in owncloud
## Checkpoint 2 (1pt)
Confirm that the excel file Organized_Outings_Receipts.xlsx exists
## Checkpoint 3 (3pt)
Excel file has
- Correct structure and number of rows (number of receipts match).
- Correct establishment name, address, datetime, number of items, and item totals match as well
## Checkpoint 4 (1pt)
Line graph created to reflect values in excel sheet and stored in workspace folder.
## Checkpoint 5 (1pt)
There's a conversation with Chen Xinyi, the HR manager, on RocketChat that mentions the excel file and line graph | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/hr-analyze-outing-bills-image:1.0.0 |
hr-check-attendance-multiple-days | hr | Human Resources | file_management | Navigate to owncloud at http://the-agent-company.com:8092.
* Use the provided april-attendance-data.csv spreadsheet in owncloud's "Documents/Human Resources Team/Attendance" folder to calculate the following: average work length in hours, the number of days of on-time departure, and the number of days of late arrival for each employee. On-time departure is defined as not departing early and not leaving late. Departing early is defined as departing before 17:30, while departing late is defined as leaving after 18:00. Late arrival is defined as arriving later than 9:00.
* Create a report called "april-attendance.xlsx" in the local /workspace directory. You must make sure that it is a xlsx file.
* In the report, have columns with namees 'Name', 'Average Work Length', 'On-time Departure Count', and 'Late Arrival Count'. Aggregate the result for each employee based on the multi-day data in the spreadsheet. | # Checkpoints
This task has 4 points in total.
## Checkpoint 1 (1pt)
The attendance sheet is referenced to extract the required data.
## Checkpoint 2 (1pt)
A new document named "april-attendance.xlsx" is created in the /workspace directory, with
columns named 'Name', 'Average Work Length', 'On-time Departure Count', and 'Late Arrival Count'
## Checkpoint 3 (2pt)
The statistics are calculated correctly. | [
"owncloud"
] | ghcr.io/theagentcompany/hr-check-attendance-multiple-days-image:1.0.0 |
hr-check-attendance-multiple-days-department | hr | Human Resources | file_management | Navigate to owncloud at http://the-agent-company.com:8092.
* Use the provided april-attendance-data.csv spreadsheet in owncloud's "Documents/Human Resources Team/Attendance" folder to calculate the following for each employee: average work length in hours, the number of days of on-time departure, and the number of days of late arrival for each employee. On-time departure is defined as not departing early and not leaving late. Departing early is defined as departing before 17:30, while departing late is defined as leaving after 18:00. Late arrival is defined as arriving later than 9:00.
* Use the provided employee-department.odt file in owncloud's "Documents/Human Resources Team/Attendance" to figure out which employee belongs to which department.
* Create a report called "department-april-attendace.xlsx" in the local /workspace directory. You must make sure that it is a xlsx file.
* In the report, have columns with names 'Name', 'Department Average Work Length', 'Departmetn Average On-time Departure Count', and 'Department Average Late Arrival Count'. Aggregate the result for each department based on the employee and department data. | # Checkpoints
This task has 3 points in total.
## Checkpoint 1 (1pt)
A new document named "department-april-attendance.xlsx" is created in the /workspace directory, with
columns named 'Department', 'Department Average Work Length', 'Department Average On-time Departure Count', and 'Department Average Late Arrival Count'
## Checkpoint 2 (2pt)
The statistics are calculated correctly. | [
"owncloud"
] | ghcr.io/theagentcompany/hr-check-attendance-multiple-days-department-image:1.0.0 |
hr-check-attendance-multiple-days-department-with-chat | hr | Human Resources | communication | Navigate to owncloud at http://the-agent-company.com:8092.
Navigate to the Rocketchat web at http://the-agent-company.com:3000/home.
* Use the provided april-attendance-data.csv spreadsheet in owncloud's "Documents/Human Resources Team/Attendance" folder to calculate the following for each employee: average work length in hours, the number of days of on-time departure, and the number of days of late arrival for each employee. On-time departure is defined as not departing early and not leaving late. Departing early is defined as departing before 17:30, while departing late is defined as leaving after 18:00. Late arrival is defined as arriving later than 9:00.
* Through RocketChat, you need to ask Chen Xinyi about who are in the finance or technical department, ask David Wong about who are in the HR or sales/marketing department, and ask Mark Johnson about who are in the product/UX or documentation department.
* Create a report called "department-april-attendace.xlsx" in the local /workspace directory. You must make sure that it is a xlsx file.
* In the report, have columns with names 'Name', 'Department Average Work Length', 'Departmetn Average On-time Departure Count', and 'Department Average Late Arrival Count'. Aggregate the result for each department based on the employee and department data. | # Checkpoints
This task has 4 points in total.
## Checkpoint 1 (1pt)
The attendance sheet is referenced to extract the required data.
## Checkpoint 2 (1pt)
Asked Chen Xinyi, David Wong, and Mark Johnson about department personnel information.
## Checkpoint 3 (1pt)
A new document named "department-april-attendance.xlsx" is created in the /workspace directory, with
columns named 'Department', 'Department Average Work Length', 'Department Average On-time Departure Count', and 'Department Average Late Arrival Count'
## Checkpoint 4 (1pt)
The statistics are calculated correctly. | [
"owncloud",
"rocketchat"
] | ghcr.io/theagentcompany/hr-check-attendance-multiple-days-department-with-chat-image:1.0.0 |
hr-check-attendance-one-day | hr | Human Resources | file_management | Navigate to owncloud at http://the-agent-company.com:8092.
* Use the provided attendance-2024-03-01.csv spreadsheet in owncloud's "Documents/Human Resources Team/Attendance" folder to identify employees who have perfect attendance. Perfect attendance is defined as not departing early and not leaving late. Departing early is defined as departing before 17:30, while departing late is defined as leaving after 18:00.
* Create a report called "2024-03-attendance-summary.xlsx" in the local /workspace directory. You must make sure that it is a xlsx file.
* In the report, have one column with the name "Name". Put all of the names of employees who have perfect attendance in that column. | # Checkpoints
This task has 3 points in total.
## Checkpoint 1 (1pt)
The attendance sheet is referenced to extract the required data.
## Checkpoint 2 (1pt)
A new document named "2024-03-attendance-summary.xlsx" is created in the /workspace directory, with a
column called "Name".
## Checkpoint 3 (1pt)
The list of names are calculated correctly. | [
"owncloud"
] | ghcr.io/theagentcompany/hr-check-attendance-one-day-image:1.0.0 |
hr-check-for-invalid-passwords-and-ask-for-valid-passwords | hr | Human Resources | communication | You have all of the team's passwords /workspace/passwords.txt. Some of these passwords are incorrect. You have to identify the incorrect passwords and only contact the people who provided them using RocketChat to get new valid passwords. You have to update the passwords.txt file with the correct passwords. The final passwords.txt file should contain the correct passwords for all team members. The format of the file should be `username: password` with each password on a new line.
The password rules are as follows:
1. Length must be between 12-16 characters
2. Must contain at least one uppercase letter
3. Must contain at least one lowercase letter
4. Must contain at least one number
5. Must contain at least one special character from: !@#$%^&*
6. Cannot contain 3 or more consecutive identical characters
7. Cannot contain the user's name as part of the password
You could find the RocketChat website at http://the-agent-company.com:3000/home. | # Checkpoints
This task has 4 points in total.
## Checkpoint 1 (2pts)
Contacted Mark Johnson and Mike Chen, but no one else.
## Checkpoint 2 (2pts)
All passwords are valid. | [
"rocketchat"
] | ghcr.io/theagentcompany/hr-check-for-invalid-passwords-and-ask-for-valid-passwords-image:1.0.0 |
hr-collect-feedbacks | hr | Human Resources | communication | Navigate to the Rocketchat web at http://the-agent-company.com:3000/home
Ask Mike Chen, Li Ming, and Zhang Wei about Liu Qiang's recent job performance.
* Ask Mike Chen for his/her opinion about Liu Qiang's recent job performance.
* Ask Li Ming for his/her opinion about Liu Qiang's recent job performance.
* Ask Zhang Wei for his/her opinion about Liu Qiang's recent job performance.
Upon successfully collecting the feedbacks, reach out to Liu Qiang and deliver performance review to him. If all feedbacks
are positive, tell him that he got the top performance in his company. If all negative, tell him that he should
work harder in the next qurater. If mixed, tell him that he did average last quarter. | # Checkpoints
This task has 5 points in total. Will check it step by step. Partial credits might be granted if only some checkpoints are completed.
## Checkpoint 1 (1pt)
Confirmed checked Liu Qiang's job performance with Mike Chen
## Checkpoint 2 (1pt)
Confirmed checked Liu Qiang's job performance with Li Ming
## Checkpoint 3 (1pt)
Confirmed checked Liu Qiang's job performance with Zhang Wei
## Checkpoint 4 (2pt)
Confirmed provided correct feedback to Liu Qiang about his job performance | [
"rocketchat"
] | ghcr.io/theagentcompany/hr-collect-feedbacks-image:1.0.0 |
hr-collect-multiple-valid-passwords | hr | Human Resources | communication | The company needs to collect valid passwords from everyone. You have to collect passwords from Mark Johnson, Sarah Johnson, Li Ming, Zhang Wei, and Mike Chen using RocketChat. collect all of the passwords in a file called `passwords.txt` under /workspace directory. Put each password on a new line with the format `username: password`.
The password rules are as follows:
1. Length must be between 12-16 characters
2. Must contain at least one uppercase letter
3. Must contain at least one lowercase letter
4. Must contain at least one number
5. Must contain at least one special character from: !@#$%^&*
6. Cannot contain 3 or more consecutive identical characters
7. Cannot contain the user's name as part of the password
You could find the RocketChat website at http://the-agent-company.com:3000/home. | # Checkpoints
This task has 4 points in total.
## Checkpoint 1 (2pts)
Contacted Everyone.
## Checkpoint 2 (2pts)
All passwords are valid. | [
"rocketchat"
] | ghcr.io/theagentcompany/hr-collect-multiple-valid-passwords-image:1.0.0 |
hr-create-career-ladder | hr | Human Resources | communication | Navigate to owncloud at http://the-agent-company.com:8092. Use employee information located in "/Documents/Human Resources Team/Personnell_File.odt" to create a career ladder for TheAgentCompany. The career ladder introduces viable growth paths and division of responsibilities in TheAgentCompany, and introduces where in the career ladder each employee at TAC belongs to, and their potential growth paths.
The design for career ladder should be saved in a file named "Career_Ladder.odt" under "/Documents/Human Resources Team". Navigate to RocketChat at http://the-agent-company.com:3000/home. Make an announcement in the hr-announcements channel about the new career ladder design and ask for suggestions. This career ladder is a draft with room for creativity. If you cannot find the necessary content for some sections in the Personnell_File.odt document, please feel free to suggest them in the manual. | # Checkpoints
This task has 4 points in total.
## Checkpoint 1 (1pt)
The personnell file is used as a reference to create the career ladder: /Documents/Human%20Resources%20Team/Personell_File.odt
## Checkpoint 2 (2pt)
A valid career ladder named "Career_Ladder.odt" is created in the hr folder. The career ladder assigns all current employees to a certain career ladder and specifies their growth path.
## Final checkpoint (1pt)
A new message is sent in hr channel referencing the created document. | [
"owncloud",
"rocketchat"
] | ghcr.io/theagentcompany/hr-create-career-ladder-image:1.0.0 |
hr-create-employee-manual | hr | Human Resources | file_management | Navigate to owncloud at http://the-agent-company.com:8092. Use the content in "TAC_overview.md" in the "Documents" folder on owncloud to create a comprehensive employee manual, ensuring that it includes all relevant sections such as company values, code of conduct, operational procedures, employee benefits, and company policies. The final document should be saved as "Employee_Manual.odt" in "Documents/Human Resources Team" folder. This manual is a draft with room for creativity. If you cannot find the necessary content for some sections in the TAC_overview.md document, please feel free to suggest them in the manual. | # Checkpoints
This task has 4 points in total.
## Checkpoint 1 (1pt)
Use "TAC_overview.md" to gather the information needed for each section.
## Checkpoint 2 (2pt)
A new file named "Employee_Manual.odt" is created in the hr folder, including the following sections: company values, code of conduct, operational procedures, employee benefits, and company policies.
## Checkpoint 3 (1pt)
The manual is formatted for readability. | [
"owncloud"
] | ghcr.io/theagentcompany/hr-create-employee-manual-image:1.0.0 |
hr-delete-and-insert-user | hr | Human Resources | communication | Find our company's platform website http://the-agent-company.com:3000/home
* remove Li Ming
* add a new intern DanDan Liu to the #product channel | # Checkpoints
This task has 3 points in total. If the last check passes, then full credits are
granted. Otherwise, partial credits might be granted if only some checkpoints are
completed.
## Checkpoint 1 (1pts)
confirmed Li Ming have been removed
## Checkpoint 2 (1pt)
confirmed Dandan Liu have been added
## Checkpoint 3 (1pt)
confirmed Dandan Liu joined the #product channel | [
"rocketchat"
] | ghcr.io/theagentcompany/hr-delete-and-insert-user-image:1.0.0 |
hr-get-valid-password | hr | Human Resources | communication | You found that Mark Johnson's password doesn't follow the password rules, so you need to go to rocketchat to recieve a valid password from him. When you have a valid password, write it in a local file called `password.txt` under /workspace directory.
The password rules are as follows:
1. Length must be between 12-16 characters
2. Must contain at least one uppercase letter
3. Must contain at least one lowercase letter
4. Must contain at least one number
5. Must contain at least one special character from: !@#$%^&*
6. Cannot contain 3 or more consecutive identical characters
7. Cannot contain the user's name as part of the password
You could find the RocketChat website at http://the-agent-company.com:3000/home. | # Checkpoints
This task has 4 points in total.
## Checkpoint 2 (1pt)
Mark Johnson was contacted on RocketChat.
## Checkpoint 3 (1pt)
password.txt file exists.
## Checkpoint 4 (2pts)
The final password is valid. | [
"rocketchat"
] | ghcr.io/theagentcompany/hr-get-valid-password-image:1.0.0 |
hr-green-card-consultation | hr | Human Resources | communication | Priya Sharma, our company's technical writer, is trying to understand the green card backlog. Specifically,
she would like to understand the current dates of filing for her category. She finds a
screenshot showing the current dates for green card filings based on different categories and birth countries.
The screenshot is under Documents/Human Resources Team/Immigration directory on owncloud. Please read the image and tell
her the current date of filing for her category based on the information provided in the image. If you need any information, please ask her. You can find
her on RocketChat.
RocketChat link: http://the-agent-company.com:3000
owncloud link: http://the-agent-company.com:8092/ | # Checkpoints
This task has 3 points in total. Full credits will be granted if final checkpoint passes.
## Checkpoint 1 (1pt)
`/Documents/Human%20Resources%20Team/Immigration` path exists in trajectory.
## Checkpoint 2 (1pt)
"niw" keyword exists in the chat history.
## Checkpoint 3 (1pt)
Correctly identified the current date of filing is 01AUG23, for category EB-2, Rest-Of-World.
The trick is, the date of filing is not based on citizenship, but on the country of birth. | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/hr-green-card-consultation-image:1.0.0 |
hr-internal-tooling-slides | hr | Human Resources | code | Develop slides to introduce the products and main internal tools used by TAC, aimed at onboarding new hires, serving as a foundational overview for new employees. This presentation should cover the purpose and functionalities of each tool, with detailed descriptions for RocketChat, GitLab, Owncloud, and Plane. Save the final presentation as "/Documents/Human Resources Team/Internal_Tooling_Training.pptx" at OwnCloud (http://the-agent-company.com:8092). Once completed, share the link to the slides on Owncloud to the HR Manager (check who she is in "/Documents/Human Resources Team/Personell_File.odt") on RocketChat for review and inclusion in the onboarding materials.
* In the first slide, provide a reasonable theme and title.
* According to TAC_overview.md, create a slide titled "TAC Overview" introducing the mission and products of TAC.
* RocketChat: Navigate to RocketChat at http://the-agent-company.com:3000/. In a slide titled "RocketChat", include url of the tool, describe available channels and their purposes, including any departmental or project-specific channels. Introduce which channels are default channels.
* GitLab: Navigate to Gitlab at http://the-agent-company.com:8929/. In a slide titled "Gitlab", include url of the tool, explain how to use GitLab for code collaboration, project management, and issue tracking. In a second slide titled "Gitlab Repos", list all company repos on Gitlab and introduce briefly.
* OwnCloud: Navigate to OwnCloud at http://the-agent-company.com:8092. In a slide titled "Owncloud", include url of the tool, introduce the folders under "/Documents", outlining the purposes for each folder.
* Plane: Navigate to Plane at http://the-agent-company.com:8091/. In a slide titled "Plane", include url of the tool, provide an overview of Plane's functionalities. Describe how to use the analytics page to track project metrics.
Remember to make the slides clean and business-style, with texts not going over the page. | # Checkpoints
This task has 10 points in total.
## Checkpoint 1 (7pt)
Slides "Internal_Tooling_Training.pptx" include 7 pages, and with the information needed correctly:
* 1st page: check for reasonable title that fits the theme of slides;
* 2nd page: titled "TAC Overview", check for fitness of the content with TAC_Overview.md;
* 3rd page: titled "RocketChat", check if default channels (#general and #kudos) are introduced, and descriptions of available channels and their purposes, including any departmental or project-specific channels; Check for URL http://the-agent-company.com:3000/;
* 4th page: titled "Gitlab", check for explanations on how to use GitLab for code collaboration, project management, and issue tracking. Check for URL http://the-agent-company.com:8929/;
* 5th page: titled "Gitlab Repos", list all company repos on Gitlab and introduce briefly.
* 6th page: titled "Owncloud", introduce the folders under "/Documents", outlining the purposes for each folder. Check for URL https://the-agent-company.com;
* 7th page: titled "Plane", an overview of Plane's functionalities. Describe how to use the analytics page to track project metrics. Check for URL http://the-agent-company.com:8091/.
## Checkpoint 2 (2pt)
The content of the pages does't go over the edges of the page. The texts do not contain unecessary markings such as "**" that are used for markdown, not pptx.
## Checkpoint 3 (1pt)
Correct HR manager contacted (Chen Xinyi), and check whether the message is about review and inclusion of slides in the onboarding materials, whether a link is shared. | [
"rocketchat",
"owncloud",
"gitlab",
"plane"
] | ghcr.io/theagentcompany/hr-internal-tooling-slides-image:1.0.0 |
hr-make-slides-introduce-leadership | hr | Human Resources | communication | We are in contacts with a few potential investors, and to prepare for the meetings, we need you to create a deck of slides to introduce our company's leadership team, including our CTO, Sales Director, Marketing Manager, Finance Director, and Human Resources Manager.
You can find the names and intro of those leadership on RocketChat (http://the-agent-company.com:3000) Directory. Your slides should include names, positions, and intro for each one of the aforementioned members. To keep it simple, just make 5 slides, with each slide introducing one leadership. Please follow the same order as the list above.
Finally, save the slides locally to /workspace/leadership_intro.pptx and tell HR manager that you are done through RocketChat. | # Checkpoints
This task has 5 points in total.
## Checkpoint 1 (1pt)
Check if the presentation file '/workspace/leadership_intro.pptx' exists
## Checkpoint 2 (1pt)
There's a conversation with Chen Xinyi, the HR manager, on RocketChat
## Checkpoint 3 (1pt)
The slides file has exactly 5 slides
## Checkpoint 4 (1pt)
The slides have all names correct
## Checkpoint 5 (1pt)
The slides have all positions correct | [
"rocketchat"
] | ghcr.io/theagentcompany/hr-make-slides-introduce-leadership-image:1.0.0 |
hr-mass-survey | hr | Human Resources | communication | Conduct a comprehensive survey to collect information on employees' year-end vacation plans. The survey should capture the following details for each of the 17 TAC personell:
* Vacation_Destination: Planned destination for the year-end holiday, in the form of "City, Country".
* Number_of_Vacation_Days: Total days planned for vacation, in integer format.
* Expected_Travel_Budget: Estimated budget for the vacation, in integer format.
Talk to employees on Rocketchat at http://the-agent-company.com:3000/, and collect the results.
When recording the survey results, also include the following columns about their information: "Name", "Gender", "Age", "Role". The information can be found on owncloud (http://the-agent-company.com:8092) at "/Documents/Human Resources Team/Personell_File.odt".
Compile the collected data into a "/Documents/Human Resources Team/YearEnd_Vacation_Survey.xlsx" on owncloud, calculate the sum of expected travel budget, and put it in the last row, "Expected_Travel_Budget" column of YearEnd_Vacation_Survey.xlsx. | # Checkpoints
7 points in total.
## Checkpoint 1 (5 point)
Check for the correctness of 7 columns and 17 rows. Check for correctness of last row. Partial credits granted to partial answers.
## Checkpoint 2 (2 point)
Confirm that all 17 employees are contacted for year-end vacation questions. | [
"owncloud",
"rocketchat"
] | ghcr.io/theagentcompany/hr-mass-survey-image:1.0.0 |
hr-massive-resume-screening | hr | Human Resources | communication | Our company wants to hire a new software engineer who can help us build our agent
infrastructure. You need to screen a large number of resumes and find candidates
that are good fits for this position. LLM knowledge is not required but helpful.
Experience with OpenHands is a must. There's no other requirement on degree or
years of experience.
You can find all resumes on owncloud (http://the-agent-company.com:8092/). Navigate to
Documents - Human Resources Team - resumes, and you will see a resumes.zip file.
Finally, goto RocketChat (http://the-agent-company.com:3000/) and tell
Chen Xinyi if you find any qualified candidates. If you do, tell her the candidates'
names. | # Checkpoints
This task has 5 points in total. If the final checkpoint passes, give full points for the entire task.
## Checkpoint 1 (1pt)
Trajectory contains number 94, which is the number of resumes in resumes.zip.
## Checkpoint 2 (1pt)
There's a conversation with Chen Xinyi.
## Checkpoint 3 (3pt)
Correctly identify that Alex Chen is the only qualified candidate. | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/hr-massive-resume-screening-image:1.0.0 |
hr-new-grad-job-description | hr | Human Resources | file_management | You need to write a new grad software engineer job description, The template is a Markdown file located under the /workspace directory called template.md, and the list of requirement is in a txt file called requirement.txt also under the /workspace directory.
* You need to merge them and create a file called "job_description.md" on OwnCloud under the documents directory. You can navigate to OwnCloud through the url http://the-agent-company.com:8092. Make sure it is a Markdown file.
* Create a share link to this file that is accessible to anyone. You can return the link to this file by writing only the URL in a file called link.txt and put it under the /workspace directory. | # Checkpoints
This task has 3 points in total. Will check it step by step. Partial credits may be granted if only some checkpoints are completed.
## Checkpoint 1 (1pt)
check whether link.txt file exist
## Checkpoint 2 (1pt)
Confirm the file exists on owncloud
## Checkpoint 3 (1pt)
Confirm the content is expected | [
"owncloud"
] | ghcr.io/theagentcompany/hr-new-grad-job-description-image:1.0.0 |
hr-new-grad-job-description-2 | hr | Human Resources | communication | You need to write a new grad software engineer job description, The template is a Markdown file located under the /instruction directory called template.md.
* You need to reach out to Zhang Wei through RocketChat to ask about the specific requirement. Navigate to the Rocketchat web at http://the-agent-company.com:3000/home.
* You need to merge them and create a file called "job_description.md" on owncloud under the document directory. You can navigate to owncloud through the url http://the-agent-company.com:8092/. Make sure it is a Markdown file.
* Create a share link to this file that is accessible to anyone. You can return the link to this file by writing only the URL in a file called link.txt and put it under the /workspace directory. | # Checkpoints
This task has 4 points in total. Will check it step by step. Partial credits may be granted if only some checkpoints are completed.
## Checkpoint 1 (1pt)
Reached out to Zhang Wei about the job requirement.
## Checkpoint 2 (1pt)
check whether link.txt file exist
## Checkpoint 3 (1pt)
Confirm the file exists on owncloud
## Checkpoint 4 (1pt)
Confirm the content is expected | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/hr-new-grad-job-description-2-image:1.0.0 |
hr-new-grad-job-description-3 | hr | Human Resources | communication | You need to write a new grad software engineer job description.
* You need to reach out to Zhang Wei through RocketChat to ask about the key job responsibilities. Navigate to the Rocketchat web at http://the-agent-company.com:3000/home.
* You need to reach out to Li Ming through RocketChat to ask about the location of the job description template file, minimum and preferred qualifications, and the salary range.
* You need to merge them and create a file called "job_description.md" on owncloud under the Documents directory. You can navigate to owncloud through the url http://the-agent-company.com:8092/. Make sure it is a Markdown file.
* Create a share link to this file that is accessible to anyone. You can return the link to this file by writing only the URL in a file called link.txt and put it under the /workspace directory. | # Checkpoints
This task has 5 points in total. Will check it step by step. Partial credits may be granted if only some checkpoints are completed.
## Checkpoint 1 (1pt)
Reached out to Zhang Wei about the job responsibiltiies.
## Checkpoint 2 (1pt)
Reached out to Li Ming about the template location, and minimum/preferred job qualifications, and salary range.
## Checkpoint 3 (1pt)
check whether link.txt file exist
## Checkpoint 4 (1pt)
Confirm the file exists on owncloud
## Checkpoint 5 (1pt)
Confirm the content is expected | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/hr-new-grad-job-description-3-image:1.0.0 |
hr-organize-talent-info | hr | Human Resources | file_management | Emily Johnson, Michael Davis, and Sarah Thompson, whose resumes are located in Documents/Human Resources Team/resumes on owncloud(http://the-agent-company.com:8092)
Extract the name, education information, skills and past work experiences of each candidate, and organize them in a document at `/workspace/summary.csv`. | # Checkpoints
## Checkpoint 1 (1pt)
Confirmed exists file `summary.csv`.
## Checkpoint 2 (1pt)
Check all required information for Emily Johnson is included in the summary.csv file.
## Checkpint 3 (1pt)
Check all required information for Michael Davis is included in the summary.csv file.
## Checkpint 4 (1pt)
Check all required information for Sarah Thompson is included in the summary.csv file. | [
"owncloud"
] | ghcr.io/theagentcompany/hr-organize-talent-info-image:1.0.0 |
hr-pick-interviewer-1 | hr | Human Resources | communication | You are going to arrange an interview for a candidate, **Emily Johnson**, whose resume is in "/Documents/Human Resources Team/resumes" on owncloud(http://the-agent-company.com:8092)
To find the most suitable interviewer for this candidate, you need to go Rocketchat (http://the-agent-company.com:3000) and message hiring resource manager Chen Xinyi. She will provide the tech stack information for these potential interviewers: Mark Johnson, Jessica Lee, David Wong, Emily Zhou.
Compare their tech stacks with the candidate's background and select the best match (choose one interviewer only)
Once you've identified the best match, send exactly this message via RocketChat Direct Message to the chosen interviewer: "We identified a promising candidate whose tech stack matches your expertise. Would you be available to conduct a technical interview this week?" | # checkpoints
This task has 6 points in total.
## Checkpoint 1 (2pt)
Check the chat history with the leader Chen Xinyi
## Checkpoint 2 (2pt)
Check whether examinee chat with Emily Zhou (the right person).
## Checkpoint 3 (2pt)
Check whether examinee does not chat with others (Mark Johnson, Jessica Lee, David Wong) | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/hr-pick-interviewer-1-image:1.0.0 |
hr-pick-interviewer-2 | hr | Human Resources | communication | You are going to pick an interviewer for a candidate. You should ask hiring resource manager Chen Xinyi in Rocketchat (http://the-agent-company.com:3000) about who is available to interview.
Once you get the interviewer list, chat with them one by one and identify the person agrees to interview, you should write the person's name down in `/workspace/interviewer.txt` file locally. | # checkpoints
This task has 6 points in total. We intentionally make David Wong non-responsive as a trap.
## Checkpoint 1 (2pt)
Check the chat history with the leader Chen Xinyi
## Checkpoint 2 (2pt)
Check whether examinee chat with everyone (Emily Zhou, Mark Johnson, Jessica Lee, David Wong) on the availability.
## Checkpoint 3 (2pt)
Check whether the correct name (Emily Zhou) has been written to the `workspace/interviewer.txt`. | [
"rocketchat"
] | ghcr.io/theagentcompany/hr-pick-interviewer-2-image:1.0.0 |
hr-pick-interviewer-3 | hr | Human Resources | communication | You need to pick Emily Zhou as interviewer. Try to talk to her in Rocketchat (http://the-agent-company.com:3000). See if you can persuade her to interview. | # checkpoints
This task has 4 points in total.
## Checkpoint 1 (2pt)
Check whether Emily Zhou finally agrees to interview.
## Checkpoint 2 (1pt)
Check whether the examinee has talked with Emily Zhou.
## Checkpoint 3 (1pt)
Check whether the examinee has talked with Jessica Lee. | [
"rocketchat"
] | ghcr.io/theagentcompany/hr-pick-interviewer-3-image:1.0.0 |
hr-populate-salary-increase-memo | hr | Human Resources | file_management | Navigate to owncloud at http://the-agent-company.com:8092. Create a MEMO template for staff salary increase that can be used every year, named as "Salary_Increase_MEMO.odt" and saved in "Documents/Human Resources Team", including name, email, salary amount, assignment start and end date. Populate the MEMO information from the salary_increase.txt in "Documents/Human Resources Team" for each of the employees. The populated MEMO should be saved under folder named "salary_increase_notice" in the same hr folder. | # Checkpoints
This task has 7 points in total.
## Checkpoint 1 (1pt)
The salaries_increase.txt file is used as a reference to populate the memo.
## Checkpoint 2 (2pt)
A new file named "Salary_Increase_MEMO.odt" is created in the hr folder, that includes name, email ID, salary amount, assignment start and end date.
## Checkpoint 3 (4pt)
A new directory named "salary_increase_notice" is created, with 10 files populated. | [
"owncloud"
] | ghcr.io/theagentcompany/hr-populate-salary-increase-memo-image:1.0.0 |
hr-resume-categorization | hr | Human Resources | file_management | Download resumes.zip from owncloud on http://the-agent-company.com:8092/ under Documents > Human Resources Team > resumes folder and categorize them locally based on the candidates' YOE. You should place them into one of the following folders under /workspace directory:
- early-career
- mid-level
- senior
- unsure
Where early-career folder stores all resumes of candidates who have less than one year of full-time SDE working experience; mid-level folder stores all resumes of those who have less than 5 years of full-time SDE working experience; and senior folder for those who work as SDEs for at least 5 years. Keep the resumes in their original PDF format.
A few tips:
* Do your best judgement based on the resume itself. Don't try to look up the candidates' LinkedIn profiles.
* If you are not sure about the YOE, put the resume in the unsure folder.
* For simplicity, assume today is 12/01/2024. | # Checkpoints
This task has 4 points in total.
## Checkpoint 1 (1pt)
Number of files across all folders = 94
## Checkpoint 2 (1pt)
Number of files in early-career folder = 58
## Checkpoint 3 (1pt)
Only file in mid-level folder is named "Alex_Chen.pdf"
## Checkpoint 4 (1pt)
Only file in senior folder is named "Emily_Zhang.pdf" | [
"owncloud"
] | ghcr.io/theagentcompany/hr-resume-categorization-image:1.0.0 |
hr-resume-screening | hr | Human Resources | communication | Li Ming is helping the database team to hire a new grad software engineer. He came
across a talent named Jane Lee that seems a good fit, but he'd like you to figure out the administrivia
as he is very busy. You could reach out to Li Ming on http://the-agent-company.com:3000/,
figure out the requirements for this position, and judge if this candidate could
proceed with next steps. If Li Ming is not available, ask Chen Xinyi. Finally, tell Li Ming about the result
with supporting evidence.
The candidate's resume is available on http://the-agent-company.com:8092/, under
Documents/Human Resources Team/resumes folder. | # Checkpoints
This task has 4 points in total.
## Checkpoint 1 (1pt)
Talked to Li Ming.
## Checkpoint 2 (1pt)
Retrieved the information from Chen Xinyi that green card or citizenship is required.
## Checkpoint 3 (2pt)
Told Li Ming that the candidate cannot be hired due to visa requirement. | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/hr-resume-screening-image:1.0.0 |
hr-salary-analysis | hr | Human Resources | file_management | Navigate to owncloud at http://the-agent-company.com:8092.
Use the provided salary.txt spreadsheet on owncloud's "Documents/Human Resources Team" folder to identify the following trends: average salary by department, highest and lowest salaries, and median salaries across roles. Save the report as "Salary_Analysis_Report.odt" in the same folder. | # Checkpoints
This task has 2 points in total.
## Checkpoint 1 (2pt)
In "Salary_Analysis_Report.odt", the average salary, highest salary, lowest salary, and median salary are calculated correctly. | [
"owncloud"
] | ghcr.io/theagentcompany/hr-salary-analysis-image:1.0.0 |
hr-transfer-group | hr | Human Resources | communication | Navigate to the Rocketchat web at http://the-agent-company.com:3000/home
Transfer Li Ming from his current database group to AI group.
* Move Li Ming from #project-graphdb channel to #project-ai channel
* Update his bio in user info to reflect this change in project group | # Checkpoints
This task has 3 points in total. Will check it step by step. Partial credits may be granted if only some checkpoints are completed.
## Checkpoint 1 (1pt)
Confirm Li Ming is removed from #project-graphdb channel
## Checkpoint 1 (1pt)
Confirm Li Ming is added to #project-ai channel
## Checkpoint 1 (1pt)
Confirm Li Ming's job description is changed to reflect his change in project group. | [
"rocketchat"
] | ghcr.io/theagentcompany/hr-transfer-group-image:1.0.0 |
ml-generate-gradcam | ml | Machine Learning Engineer | file_management | We are trying to understand why Computer Vision models make the decisions they do. To do this, we are generating GradCAM explanations for images. You will first need to load a pre-train resnet18 model. You will need to download an image 'test_image.jpg' from OwnCloud. You can find it under the 'Documents/Research' directory. Then generate a GradCAM image for it and save it as 'gradcam_output.jpg' in the workspace directory. You will need to analyse the GradCAM image and write a short explanation (preferably 1 sentence) of what regions the the model focused while making the prediction. Save the explanation in 'gradcam_explanation.txt' file in the workspace directory. You should also save the gradients and activations as 'raw_gradients.pt' and 'raw_activations.pt' respectively. remember this is with respect to the last Convolutional layer.
In order to maintain the dimensionality standards, load the image as follows:
```python
transforms.Resize(256),
transforms.CenterCrop(224),
transforms.ToTensor(),
transforms.Normalize(mean=[0.485, 0.456, 0.406],
std=[0.229, 0.224, 0.225])
```
Use the cv2.COLORMAP_JET colormap to generate the heatmap and multiply it by 0.4 before superimposing it on the original image.
OwnCloud can be accessed at: http://the-agent-company.com:8092 | # Checkpoints
This task has 4 points in total.
## Checkpoint 1 (1pts)
The agent correctly generated the GradCAM image.
## Checkpoint 2 (1pt)
Agent explain what regions the model focused on while making the prediction.
## Checkpoint 3 (1pt)
The generated gradient has a cosine similarity of greater than 0.8 with the reference gradient.
## Checkpoint 4 (1pt)
The generated activation has a cosine similarity of greater than 0.8 with the reference activation. | [
"owncloud"
] | ghcr.io/theagentcompany/ml-generate-gradcam-image:1.0.0 |
ml-grade-exam | ml | Machine Learning Engineer | file_management | A new recruit was working on an assignment 'ML BACKGROUND EXAM - AGENT COMPANY'. He created several versions of his solutions as pdfs and saved them on OwnCloud. The problem is that he does not remember where he saved them and how many copies he made. He also saved them in several different locations and not just under one directory. You need to find all the versions and download them to the workspace directory. You will then need to evaluate each version and give it a score. You should append the score to the filename with an '_'. For example if x.pdf gets a score of 10, you should rename it to x_10.pdf, being very careful not to modify any part of the base name. Finally, you need to pick the version with the highest score for submission by appending '-submit' to the filename. For example if y.pdf got a score of 11 and is selected for submission, it should be renamed as y_11-submit.pdf. You should again be careful not to change the original base name of the file.
Note for the question: 'Did you use LATEX for the entire written portion of this homework?' - You can assume that the right answer is Yes.
OwnCloud can be accessed at: http://the-agent-company.com:8092 | # Checkpoints
This task has 8 points in total.
## Checkpoint 1 (1pts)
Agent downloaded all 6 attempts of the ML Background Exam to the workspace directory.
## Checkpoint 2 (6pt)
Agent correctly graded the attempts of the ML Background Exam - 1 point per correct grading.
## Checkpoint 3 (1pt)
Agent correctly select the document that receives the highest score for submission. | [
"owncloud"
] | ghcr.io/theagentcompany/ml-grade-exam-image:1.0.0 |
pm-add-new-moderator | pm | Product Manager | communication | Find the #help-desk channel in our company's platform's directory at http://the-agent-company.com:3000/home
And add Liu Qiang to the channel.
Then make him a moderator. | # Checkpoints
This task has 3 points in total.
## Checkpoint 1 (1pt)
Navigate to the general channel (http://the-agent-company.com:3000/channel/help-desk)
## Checkpoint 2 (1pt)
Added Liu Qiang to the channel.
## Final checkpoint (1pt)
Assigned Liu Qiang as a moderator. | [
"rocketchat"
] | ghcr.io/theagentcompany/pm-add-new-moderator-image:1.0.0 |
pm-ask-for-issue-and-create-in-gitlab | pm | Product Manager | code | A new sprint just started in the RisingWave project and you have to assign Li Ming to a new issue in GitLab. Using RocketChat, ask Li Ming to provide you with the issue he wants to work on. You also need to figure out the description to put, the milestone to assign, and the due date. Once you have all the information, create the issue in GitLab.
The RocketChat website can be accessed at: http://the-agent-company.com:3000/home
The Gitlab Projects page can be accessed at: http://the-agent-company.com:8929/ | # Checkpoints
This task has 5 points in total.
## Checkpoint 1 (2pts)
Contacted Li Ming, Mike Chen, Mark Johnson
## Checkpoint 2 (1pt)
Created "Improve Logging for Bulk Request Failures" issue in GitLab
## Checkpoint 3 (2pts)
Wrote correct description, assigned to milestone 'release-1.9', and set due date to 2024-11-15 | [
"gitlab",
"rocketchat"
] | ghcr.io/theagentcompany/pm-ask-for-issue-and-create-in-gitlab-image:1.0.0 |
pm-ask-issue-assignee-for-issue-status-and-update-in-plane | pm | Product Manager | communication | As a project manager, you need to check the status of the "Evaluate data throughput" issue in the RisingWave project. Go to the Plane issues page for RisingWave, find out who is assigned to the "Evaluate data throughput" issue, and contact them via RocketChat to ask for the status of the issue. If they report that the issue is completed, update the issue in Plane to "Done".
The Plane issues page can be accessed at: http://the-agent-company.com:8091/tac/projects/ea796314-eeec-41aa-816d-58be13909bf2/issues/
The RocketChat website can be accessed at: http://the-agent-company.com:3000/home | # Checkpoints
This task has 3 points in total.
## Checkpoint 1 (2pts)
Contacted Zhang Wei.
## Checkpoint 2 (1pt)
Updated "Evaluate data throughput" issue to Done in Plane. | [
"plane",
"rocketchat"
] | ghcr.io/theagentcompany/pm-ask-issue-assignee-for-issue-status-and-update-in-plane-image:1.0.0 |
pm-assign-issues | pm | Product Manager | project_management | Create a new project titled 'Backend Development' on Plane (access plane at http://the-agent-company.com:8091/tac/projects/).
Go to project settings and add new memebers. Add emilyzhou, alexturner, emmalewis as members.
Create issues for each member and assign tasks:
For emilyzhou: Create an issue titled 'Implement new navigation bar for the frontend'.
For alexturner: Create an issue titled 'Set up backend API for payment processing'.
For emmalewis: Create an issue titled 'Write unit tests for authentication service'. | # Checkpoints
This task has 4 points in total. If the last check passes, then full credits are granted. Otherwise, partial credits might be granted if only some checkpoints are completed.
## Checkpoint 1 (1pt)
Created the project in Plane titled 'Backend Development' at http://the-agent-company.com:8091/cmu/projects/
## Checkpoint 2 (1pt)
Added members in project 'Backend Development' by going to project settings and then members page
## Final checkpoint (2pts)
Created issues with appropriate titles and Assigned issues to each employee. | [
"plane"
] | ghcr.io/theagentcompany/pm-assign-issues-image:1.0.0 |
pm-change-channel-ownership | pm | Product Manager | communication | Find the #general channel in our company's platform's directory at http://the-agent-company.com:3000/home
And assign the user 'theagentcompany' as the owner | # Checkpoints
This task has 2 points in total.
## Checkpoint 1 (1pt)
Navigated to the general channel (http://the-agent-company.com:3000/channel/general)
## Final checkpoint (1pt)
Assigned 'theagentcompany' as owner | [
"rocketchat"
] | ghcr.io/theagentcompany/pm-change-channel-ownership-image:1.0.0 |
pm-check-backlog-update-issues | pm | Product Manager | communication | Your task is to monitor the "Node-RED" project for backlog issues and follow up on Rocket.Chat.
First, log into Plane at http://the-agent-company.com:8091/tac/projects. Look for the project called "Node-RED".
Once you're in, scan through all the issues. We're particularly interested in any that are marked as "Blocked" or "Backlog" status. For each of these, make a note of three things:
- The Issue ID
- The Issue Title
- Who it's assigned to (the Assignee)
Now, head over to our team chat on Rocket.Chat at http://the-agent-company.com:3000/home . Go to the #project-lowcode channel and post a message for each blocked issue. It should look something like this:
@Assignee (if it was assigned to anyone), [Blocking/backlog Issue Title] has the status Backlog/Blocked. Has it been completed yet?"
4. Keep an eye on the responses in the chat. If anyone confirms that a blocking/backlog issue is now completed/done, post a message on the channel saying "Okay I will update Plane to reflect this".
5. Go back to Plane and update the status of the previously blocked issue. Change its status, depending on what makes sense based on the chat responses. | # Checkpoints
This task has 5 points in total. If the last check passes, then full credits are
granted. Otherwise, partial credits might be granted if only some checkpoints are
completed.
## Checkpoint 1 (1pts)
Accessed the "Node-RED" project on Plane
## Checkpoint 2 (2pts)
Identified issues with "Blocked" or "Backlog" status, capturing the Issue ID, Assignee, and Blocking/Backlog Issue details
Posted message in Rocket.Chat's #project-lowcode channel, tagging relevant assignees
## Checkpoint 3 (1pt)
Monitored responses for confirmation of blocking issues being completed
## Checkpoint Final (1pt)
Updated issue status on Plane to "In Progress" or "Completed" for unblocked issues | [
"rocketchat",
"plane"
] | ghcr.io/theagentcompany/pm-check-backlog-update-issues-image:1.0.0 |
pm-copy-plane-issues-to-gitlab | pm | Product Manager | code | In Plane there open issues in the JanusGraph project that need to be added to gitlab. I want you to add all "In Progress" tasks to gitlab.
The Plane issues page can be accessed at: http://the-agent-company.com:8091/tac/projects/f04e5c07-8fa2-4eaf-a35b-5cacf3f1d025/issues/
The GitLab issues page can be accessed at: http://the-agent-company.com:8929/root/janusgraph/-/issues/?state=all | # Checkpoints
This task has 4 points in total.
## Checkpoint 1 (1pts)
Visited plane issues page (http://the-agent-company.com:8091/tac/projects/f04e5c07-8fa2-4eaf-a35b-5cacf3f1d025/issues/)
## Checkpoint 2 (1pt)
Didn't create unnecessary issues in Gitlab
## Checkpoint 3 (1pt)
Created "Research and design new algorithms" issue in Gitlab
## Checkpoint 4 (1pt)
Created "Analyze current query performance bottlenecks" issue in Gitlab | [
"plane",
"gitlab"
] | ghcr.io/theagentcompany/pm-copy-plane-issues-to-gitlab-image:1.0.0 |
pm-create-channel-message | pm | Product Manager | communication | Create a public #finance-talk channel in our company's platform directory http://the-agent-company.com:3000/home
And invite David Wong to the channel.
Send an introductory message saying 'Welcome to the finance-talk channel!'. | # Checkpoints
This task has 3 points in total.
## Checkpoint 1 (1pt)
Navigated to the homepage http://the-agent-company.com:3000/home
## Checkpoint 2 (1pt)
Created the public #finance-talk channel (http://the-agent-company.com:3000/channel/finance-talk) and invited David Wong
## Final checkpoint (1pt)
Sent the message 'Welcome to the finance-talk channel!' | [
"rocketchat"
] | ghcr.io/theagentcompany/pm-create-channel-message-image:1.0.0 |
pm-create-channel-message-medium | pm | Product Manager | communication | Create a public #literaturereview channel in our company's platform directory http://the-agent-company.com:3000/home
and invite Emma Lewis and Wang Fang to the channel.
Send an introductory message saying 'Welcome to the literature review channel!'.
Create another public #benchmarking channel in our company's platform directory http://the-agent-company.com:3000/home
and invite Emma Lewis, Alex Turner, and David Wong to the channel.
Send an introductory message saying "This will be for all our benchmarking projects." | # Checkpoints
This task has 6 points in total.
## Checkpoint 1 (1pt)
Created the public #literaturereview channel (http://the-agent-company.com:3000/channel/literaturereview)
## Checkpoint 2 (1pt)
Invited Emma Lewis, Invited Wang Fang
## Checkpoint 3 (1pt)
Sent message 'Welcome to the literature review channel!'
## Checkpoint 4 (1pt)
Created the public #benchmarking channel (http://the-agent-company.com:3000/channel/benchmarking)
## Checkpoint 5 (1pt)
Invited Emma Lewis, Invited Alex Turner, Invited David Wong
## Checkpoint 6 (1pt)
Sent message "This will be for all our benchmarking projects." | [
"rocketchat"
] | ghcr.io/theagentcompany/pm-create-channel-message-medium-image:1.0.0 |
pm-create-channel-new-leader | pm | Product Manager | communication | Create a public #sales-talk channel in our company's platform directory http://the-agent-company.com:3000/home
And invite Mark Johnson to the channel. Make him the channel leader. | # Checkpoints
This task has 3 points in total.
## Checkpoint 1 (1pt)
Navigated to the home page http://the-agent-company.com:3000/home
## Checkpoint 2 (1pt)
Created the public #sales-talk channel (http://the-agent-company.com:3000/channel/sales-talk) and invited Mark Johnson
## Checkpoint 3 (1pt)
Added Mark Johnson as a leader to the channel | [
"rocketchat"
] | ghcr.io/theagentcompany/pm-create-channel-new-leader-image:1.0.0 |
pm-create-plane-issue | pm | Product Manager | project_management | Navigate to the Plane at http://the-agent-company.com:8091/
For the 'Frontend Development' project, create a new issue titled 'Improve Page Loading Speed' | # Checkpoints
This task has 2 points in total. If the last check passes, then full credits are
granted.
## Checkpoint 1 (1pts)
Accessed the correct project page ("Frontend Developement")
## Checkpoint 2 (1pt)
Issue "Improve Page Loading Speed" is created | [
"plane"
] | ghcr.io/theagentcompany/pm-create-plane-issue-image:1.0.0 |
pm-create-teammate-channel-from-spreadsheet | pm | Product Manager | communication | Our team is working on editing a set of videos and publishing them to YouTube. We have divided the team into 3 groups and assigned different tasks to different people. The task assignment is in this spreadsheet: 'Documents/Marketing/Task_assignments.xlsx on Owncloud using this link: http://the-agent-company.com:8092/. We need you to create a channel on RocketChat, which can be found here: http://the-agent-company.com:3000/, for Group 2 and notify everyone in Group 2 about their tasks.
Specifically, read Task_assignment.xlsx on owncloud, create a channel called "Group2" that is made public with all the corresponding teammates, and send one message for each teammate, which should (1) contain the task to do (e.g., Your task is to ...), and (2) notify the teammate by adding the '@' followed by the teammates username. | # Checkpoints
This task has 5 points in total. If the last check passes, then full credits are
granted.
## Checkpoint 1 (1pt)
Check if the agent visits Task_assignment.xlsx on owncloud
## Checkpoint 2 (1pt)
Check if the agent creates a channel called "Group2" and makes it public.
## Checkpoint 3 (1pt)
Check if Li Ming and Emily Zhou are in the channel.
## Checkpoint 4 (1pt)
Check if the agent sends a message containing "@li_ming" and "add a cover image for each video".
## Checkpoint 5 (1pt)
Check if the agent sends a message containing "@emily_zhou" and "write a description for each video". | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/pm-create-teammate-channel-from-spreadsheet-image:1.0.0 |
pm-distribute-information | pm | Product Manager | code | Navigate to http://the-agent-company.com:8929/root/bustub/-/issues/759. There is instruction about a project called HyperLogLog algorithm.
* You need to distribute the project information to all the database group members in Rocketchat. Do not send the
message directly in the group chat; instead, send private message to each of the members.
* You do this by sending the link to the project to them
You could find the RocketChat website at http://the-agent-company.com:3000/ | # Checkpoints
This task has 2 points in total. Will check it step by step. Partial credits might be granted if only some checkpoints are completed.
## Checkpoint 1 (1pt)
Confirm that the bustub issue page has been accessed
## Checkpoint 2 (1pt)
Confirm that the new project information is distributed to all members in the database channels. | [
"rocketchat",
"gitlab"
] | ghcr.io/theagentcompany/pm-distribute-information-image:1.0.0 |
pm-monitor-new-bug-issues | pm | Product Manager | code | Check GitLab repo http://the-agent-company.com:8929/root/openhands for open issues labeled 'bug' from 24 September 2024 to 24 October 2024. Note their assignment status if they are assigned or unassigned. Go to Rocketchat at http://the-agent-company.com:3000/home, login and summarize findings in #project-ai RocketChat channel, including issue numbers, titles, assignment status, and links. | # Checkpoints
This task has 4 points in total. If the final checkpoint passes, then full credit is given regardless of checkpoint 1 & 2.
## Checkpoint 1 (1pt)
Check if the OpenHands gitlab repo has been accessed and if the open issues are viewed with the following filters:
- Label: 'bug'
## Checkpoint 2 (1pt)
In the #project-ai RocketChat channel, there has been a new message summarizing the findings of open bug issues.
## Final checkpoint (2pt)
The new message in the #project-ai RocketChat channel contains:
1. Issue numbers
2. Issue titles
3. Assignment status (assigned or unassigned)
4. Links to the issues | [
"rocketchat",
"gitlab"
] | ghcr.io/theagentcompany/pm-monitor-new-bug-issues-image:1.0.0 |
pm-monthly-attendance-slides | pm | Product Manager | communication | The attendance of our group has not been so great recently. So we decide to do a detailed analysis of the attendance and reflect on it. You need to help our HR manager Chen Xinyi analyze the number of dates recorded in the attendance sheet (it is on the website http://the-agent-company.com:8092, navigate to "Documents/Human Resources Team/Attendance") for everyone. And put the analysis result in a slide, titled with "April Attendance" and everyone as a bullet point in the format of "Name: xxx times". Save the slide as "/workspace/April Attendance.pptx" and tell Chen Xinyi the path you saved it. You can find Chen Xinyi on RocketChat (http://the-agent-company.com:3000/) | # Checkpoints
## Checkpoint 1 (1 point)
Check if the agent accesses the attendance file on owncloud
## Checkpoint 2 (1 point)
Check if the slide '/workspace/April Attendance.pptx' exists
## Checkpoint 3 (1 point)
Check if a slide recording everyones attendance and has correct results for everyone
## Checkpoint 4 (1 point)
Check if the agent has a conversation with Chen Xinyi mentioning the correct file path | [
"owncloud",
"rocketchat"
] | ghcr.io/theagentcompany/pm-monthly-attendance-slides-image:1.0.0 |
pm-plan-personnel-for-new-project | pm | Product Manager | communication | We are planning a new project to build out a web app for JanusGraph. It will need:
0.5 months of Li Ming's effort
0.5 months of project management
0.5 months of design
1 month of frontend
1.5 months of backend
0.5 months of infra
Please choose the appropriate personnel based on our current plans so that we can finish the project as soon as possible. You can assume that it is January 1st 2025. To do so, create a csv file called project-plan.csv with the columns, "month", "person", "effort percent", and "role" (must be one of: li, pm, design, frontend, backend, infra). Save it in the /workspace folder.
Once you are done, please tell Sarah that you have finished, and also include the expected ending month of the project as well as the total amount the project will cost in salary+benefits.
You can ask Xinyi to get docs about the effort, competencies, and salary for each potential person involved.
You can contact Xinyi and Sarah on Rocketchat using http://the-agent-company.com:3000/ | # Checkpoints
This task has 7 points in total. Will check it step by step. Partial credits might be granted if only some checkpoints are completed.
## Checkpoint 1 (1pt)
Contacted Xinyi and got info about the docs
## Checkpoint 2 (1pt)
Created project-plan.csv in the expected format
## Checkpoint 3 (1pt)
Project-plan.csv does not over-allocate effort above 100% for any person in any month
## Checkpoint 4 (1pt)
Project-plan.csv allocates exactly as much effort as was requested in the project plan
## Checkpoint 5 (1pt)
Project-plan.csv ends in the earliest possible month
## Checkpoint 6 (1pt)
Messaged Sarah with the correct ending month (based on project-plan.csv)
## Checkpoint 7 (1pt)
Messaged Sarah with the correct dollar amount based on the salary+benefits information | [
"rocketchat",
"owncloud"
] | ghcr.io/theagentcompany/pm-plan-personnel-for-new-project-image:1.0.0 |
pm-prepare-meeting-with-customers | pm | Product Manager | code | We are about to meet with potential customers for our openhands agent services. The customers want to know the major capabilities of our openhands agents. Your task is to find the current benchmarks that openhands (http://the-agent-company.com:8929/root/openhands) can solve, categorize them into task domains, and then create a presentation slide deck introducing each domain per page. Save the final presentation as '/workspace/openhands_intro.pptx' and send the file name to Huang Jie on http://the-agent-company.com:3000/, who is the project manager to handle all materials related to this meeting. | # Checkpoints
## Checkpoint 1 (1 point)
Check if the agent visits the openhands evaluation page with all supported tasks (http://the-agent-company.com:8929/root/openhands/-/tree/main/evaluation?ref_type=heads)
## Checkpoint 2 (1 point)
Check if the presentation file '/workspace/openhands_intro.pptx' exists
## Checkpoint 3 (1 point)
Check if one slide in the presentation introduces all Software Engineering tasks
## Checkpoint 4 (1 point)
Check if one slide in the presentation introduces all Web Browsing tasks
## Checkpoint 5 (1 point)
Check if one slide in the presentation introduces all Misc. Assistance tasks
## Checkpoint 6 (1 point)
Check if the agent sends the file path to Huang Jie on RocketChat | [
"gitlab",
"rocketchat"
] | ghcr.io/theagentcompany/pm-prepare-meeting-with-customers-image:1.0.0 |
pm-present-engineer-group-members | pm | Product Manager | communication | We are participating a career fair at Carnegie Mellon University to potentially hire more engineers. To better introduce the different engineering roles at our company, we need you to create a presentation slide introducing all engineers in our company.
To be more concrete, find "/Documents/Human Resources Team/Personnell_File.odt" on owncloud(http://the-agent-company.com:8092), and create one slide for each employee. In each slide, mention the role and the names of employees taking that role.
After you finish the presentation, save it as '/workspace/engineers.pptx' and inform Chen Xinyi at http://the-agent-company.com:3000/, who is in charge of our career fair this time, that you have make the introductory slides for our engineering roles. | # Checkpoints
This task has 2 checkpoints.
## Checkpoint 1 (2pt)
/workspace/engineers.pptx contains roles and names of engineers
## Checkpoint 2 (1pt)
Chat history with Chen Xinyi that contains a notification of slides done | [
"owncloud",
"rocketchat"
] | ghcr.io/theagentcompany/pm-present-engineer-group-members-image:1.0.0 |
pm-present-gitlab-info-as-ppt | pm | Product Manager | code | Our CTO, Sarah Johnson, want to know more on the engineering progress we've been made throughtout the past few months, so she requested a presentation introducing all gitlab repositories we have now. You can access this at http://the-agent-company.com:8929/ You will need to create a slide deck, with an introductory page titled "Overview of Our Engineering Progress". Then for each gitlab repository, create one slide including the repo name, its description, and the number of all issues and merge requests (including open, closed/merged, etc.)
Save the presentation to '/workspace/Engineering_Progress.pptx'. Make sure the repo slides are ordered as displayed on http://the-agent-company.com:8929/ | # Checkpoints
This has total of 5 points. Partial score can be provided for last checkpoint.
## Checkpoint 1 (1 point)
Check if the presentation file '/workspace/Engineering_Progress.pptx' exists
## Checkpoint 2 (4 point)
Check if each repository has a corresponding page, including all four necessary information in it (repo name, description, number of all merge requests and number of all issues) | [
"gitlab"
] | ghcr.io/theagentcompany/pm-present-gitlab-info-as-ppt-image:1.0.0 |
pm-projects-analytics | pm | Product Manager | communication | Analyze TheAgentCompany's performance and create a summary in Plane.
Steps:
1. Access Plane at http://the-agent-company.com:8091/tac/. Navigate to "Analytics" and analyze all project metrics.
2. Collect Metrics:
- Open Tasks: [Number of Open Tasks]
_ Backlog Tasks: [Number of Backlog Tasks]
- Unstarted Tasks: [Number of Unstarted Tasks]
- Started Tasks: [Number of Started Tasks]
- Unassigned Issues: [Number of Unassigned Issues]
- Pending Issues: [Total number of Pending Issues]
3. Create Summary using above structure. Share summary with the team on Rocket.Chat. http://the-agent-company.com:3000/home in the #kudos channel. | # Checkpoints
This task has a total of 5 points. Full credit will be awarded if all checkpoints are successfully completed, otherwise partial credit may be granted for some checkpoints.
## Checkpoint 1 (1pt)
Accessed Plane and navigated to the "Analytics" section at http://the-agent-company.com:8091/tac/analytics.
## Checkpoint 2 (3pts)
Collected all required project metrics.
Verify that the agent collected the following metrics:
Number of Open Tasks
Number of Backlog Tasks
Number of Unstarted Tasks
Number of Started Tasks
Number of Unassigned Issues
Total number of Pending Issues
Partial credit can be awarded if only some metrics were collected.
## Checkpoint 3 (1pts)
Verify that the agent posted the summary in the #kudos channel on Rocket.Chat at http://the-agent-company.com:3000/home. | [
"rocketchat",
"plane"
] | ghcr.io/theagentcompany/pm-projects-analytics-image:1.0.0 |
pm-schedule-meeting-1 | pm | Product Manager | communication | Navigate to the Rocketchat web at http://the-agent-company.com:3000/home
Based on the availability of both Emily Zhou and Liu Qiang, please schedule a mutually convenient meeting time for them on a workday (Monday through Friday) during regular business hours.
* Ask Emily Zhou for his/her free time.
* Ask Liu Qiang for his/her free time.
Upon successfully scheduling the meeting, please create a file named 'conclusion.txt' in the '/workspace' directory and write down the meeting schedule day in this file.
If a meeting could not be scheduled, create the same file and write 'No meeting scheduled this week' in it. | # Checkpoints
This task has 5 points in total. If the last check passes, then full credits are
granted. Otherwise, partial credits might be granted if only some checkpoints are
completed.
## Checkpoint 1 (1pts)
confirmed with Emily Zhou about the meeting time
## Checkpoint 2 (1pt)
confirmed with Liu Qiang about the meeting time
## Final Checkpoint (3pt)
Unable to schedule a meeting this week for Emily Zhou and Liu Qiang | [
"rocketchat"
] | ghcr.io/theagentcompany/pm-schedule-meeting-1-image:1.0.0 |
pm-schedule-meeting-2 | pm | Product Manager | communication | Navigate to the Rocketchat web at http://the-agent-company.com:3000/home
Based on the availability of both Emily Zhou and Liu Qiang, please schedule a mutually convenient meeting time for them on a workday (Monday through Friday) during regular business hours.
* Ask Emily Zhou for his/her free time.
* Ask Liu Qiang for his/her free time.
Upon successfully scheduling the meeting, please create a file named 'conclusion.txt' in the '/workspace' directory and write down the meeting schedule day in this file.
If a meeting could not be scheduled, create the same file and write 'No meeting scheduled this week' in it. | # Checkpoints
This task has 5 points in total. If the last check passes, then full credits are
granted. Otherwise, partial credits might be granted if only some checkpoints are
completed.
## Checkpoint 1 (1pt)
confirmed with Emily Zhou about the meeting time
## Checkpoint 2 (1pt)
confirmed with Liu Qiang about the meeting time
## Final Checkpoint (3pt)
Arrange a suitable meeting time for Emily Zhou and Liu Qiang | [
"rocketchat"
] | ghcr.io/theagentcompany/pm-schedule-meeting-2-image:1.0.0 |
pm-send-hello-message | pm | Product Manager | communication | Find the #general channel in our company's platform's directory at http://the-agent-company.com:3000/home
Send a message on the channel. The message should
(1) include 'Hi',
(2) include a kissing_smiling_eyes emoji, and
(3) notify active users in the room. | # Checkpoints
## Checkpoint 1 (1pt)
Found the correct channel http://the-agent-company.com:3000/channel/general
## Checkpoint 2 (1pt)
Send a message in the general channel.
## Checkpoint 3 (1pt)
The message includes 'Hi'
## Checkpoint 4 (1pt)
The message includes emoji "kissing_smiling_eyes"
## Checkpoint 5 (1pt)
The message notifies active users in the room in the message using @here | [
"rocketchat"
] | ghcr.io/theagentcompany/pm-send-hello-message-image:1.0.0 |
pm-send-notification-to-corresponding-user | pm | Product Manager | communication | Navigate to the Rocketchat web at http://the-agent-company.com:3000/home
* Ask Jessica Lee what you should do | # Checkpoints
This task has 4 points in total. If the last check passes, then full credits are
granted. Otherwise, partial credits might be granted if only some checkpoints are
completed.
## Checkpoint 1 (1pts)
Confirmed with Jessica Lee 's plan is to hold a kickoff meeting
## Checkpoint 2 (1pt)
Confirmed with David Wong received message which is about the kickoff meeting
## Checkpoint 3 (1pt)
Confirmed with Huang Jie received message which is about the kickoff meeting
## Checkpoint 4 (1pt)
Confirmed with Mark Johnson received message which is about the kickoff meeting | [
"rocketchat"
] | ghcr.io/theagentcompany/pm-send-notification-to-corresponding-user-image:1.0.0 |
pm-update-gitlab-issue-from-plane-status | pm | Product Manager | code | In Gitlab there are two issues for OpenHands, "Model: recall rate is 0" and "Model: security problem". For each of the issues, you need to check the status of the issue in Plane by going to the issue's page. If the issue is open in Plane, keep the issue open in Gitlab. If the issue is closed in Plane, close the issue in Gitlab.
The Plane issues page can be accessed at: http://the-agent-company.com:8091/tac/projects/73cb74f7-a7ac-4292-a915-e2f59a09a703/issues/
The GitLab issues page can be accessed at: http://the-agent-company.com:8929/root/openhands/-/issues/?state=all | # Checkpoints
This task has 3 points in total.
## Checkpoint 1 (1pts)
Visited plane issues page (http://the-agent-company.com:8091/tac/projects/73cb74f7-a7ac-4292-a915-e2f59a09a703/issues/)
## Checkpoint 2 (2pt)
Kept "Model: recall rate is 0" open in Gitlab and Closed "Model: security problem" in Gitlab | [
"plane",
"gitlab"
] | ghcr.io/theagentcompany/pm-update-gitlab-issue-from-plane-status-image:1.0.0 |
pm-update-plane-issue-from-gitlab-status | pm | Product Manager | code | In Plane there are two issues for JanusGraph in sprint 1, "Improve Logging for Bulk Request Failures" and "Optimize Retry Mechanism for Out of Memory Errors". For each of the issues, you need to check the status of the issue in GitLab by going to the issue's page. If the issue is open in GitLab, keep the issue open in Plane and move it to the next sprint. If the issue is closed in GitLab, close the issue in Plane.
The GitLab issues page can be accessed at: http://the-agent-company.com:8929/root/janusgraph/-/issues/?state=all
The Plane issues page can be accessed at: http://the-agent-company.com:8091/tac/projects/f04e5c07-8fa2-4eaf-a35b-5cacf3f1d025/issues/ | # Checkpoints
This task has 7 points in total.
## Checkpoint 1 (1pt)
Visited "Improve Logging for Bulk Request Failures" issue page
## Checkpoint 2 (1pt)
Visited "Optimize Retry Mechanism for Out of Memory Errors" issue page
## Checkpoint 3 (1pts)
Visited plane issues page (http://the-agent-company.com:8091/tac/projects/f04e5c07-8fa2-4eaf-a35b-5cacf3f1d025/issues/)
## Checkpoint 4 (2pt)
Moved "Improve Logging for Bulk Request Failures" to next sprint in plane
## Checkpoint 5 (2pt)
Closed "Optimize Retry Mechanism for Out of Memory Errors" in plane | [
"plane",
"gitlab"
] | ghcr.io/theagentcompany/pm-update-plane-issue-from-gitlab-status-image:1.0.0 |
pm-update-project-milestones | pm | Product Manager | code | As a project manager for the RisingWave project, you need to update the project milestones in GitLab. Your tasks are:
1. Go to the milestones page by clicking the "Plan" icon on the left sidebar and selecting "Milestones" from the dropdown menu.
2. Close the milestone named "Alpha Release" as it has been completed.
3. Create a new milestone named "Beta Release".
4. Go to the issues page by selecting "Issues" from under the "Plan" section in the left sidebar.
5. Go to the following issues and change their milestone to "Beta Release":
- "Implement stream processing engine"
- "Integrate with Kafka"
The GitLab repository can be accessed at: http://the-agent-company.com:8929/root/risingwave | # Checkpoints
This task has 5 points in total.
## Checkpoint 1 (1pt)
Visited the milestones page in the RisingWave project. (http://the-agent-company.com:8929/root/risingwave/-/milestones)
## Checkpoint 2 (1pt)
Closed the "Alpha Release" milestone.
## Checkpoint 3 (1pt)
Created the "Beta Release" milestone.
## Checkpoint 4 (1pts)
Assigned the "Implement stream processing engine" issue to the "Beta Release" milestone.
## Checkpoint 5 (1pts)
Assigned the "Integrate with Kafka" issue to the "Beta Release" | [
"gitlab"
] | ghcr.io/theagentcompany/pm-update-project-milestones-image:1.0.0 |
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