csv-workbench
✓ Official★ 27,670by openai · part of openai/openai-agents-python
Analyze CSV files in /mnt/data and return concise numeric summaries.
🔥🔥🔥✓ VerifiedFreeQuick setup
🧩 One of 7 skills in the openai/openai-agents-python package — works on its own, and pairs well with its siblings.
This is the playbook your agent receives when the skill activates — you don't need to read it to use the skill, but it's here to audit before installing.
CSV Workbench
Use this skill when the user asks for quick analysis of tabular data.
Workflow
- Inspect the CSV schema first (
head,python csv.DictReader, or both). - Compute requested aggregates with a short Python script.
- Return concise results with concrete numbers and units when available.
Constraints
- Prefer Python stdlib for portability.
- If data is missing or malformed, state assumptions clearly.
- Keep the final answer short and actionable.
Copy & paste — that's it
npx skills add openai/openai-agents-python --skill "csv-workbench" --full-depthRun this in your project — your agent picks the skill up automatically.
No common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.
Licensed under MIT— you can use, modify, and redistribute it under that license's terms.
View the full license file on GitHub →