Analyze CSV files in /mnt/data and return concise numeric summaries.
npx skills add https://github.com/openai/openai-agents-python --skill csv-workbenchCopy and paste this command into Claude Code to install the skill
Decide how to implement runtime and API changes in openai-agents-python before editing code. Use when a task changes exported APIs, runtime behavior, serialized state, tests, or docs and you need to choose the compatibility boundary, whether shims or migrations are warranted, and when unreleased interfaces can be rewritten directly.
Run python examples in auto mode with logging, rerun helpers, and background control.
Fix the tiny credit-note formatting bug and rerun the exact targeted test command.
Build a concise prior authorization packet from local case files and payer policy docs.
Use when the task requires capturing or automating a real browser from the terminal.
Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.
| name | csv-workbench |
| description | Analyze CSV files in /mnt/data and return concise numeric summaries. |
Use this skill when the user asks for quick analysis of tabular data.
head, python csv.DictReader, or both).