csv-workbench
Analyze CSV files in /mnt/data and return concise numeric summaries.
Install
With your agent
Install OMGSkills skill "openai/openai-agents-python:csv-workbench" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/openai/openai-agents-python /tmp/openai-agents-python && ln -s /tmp/openai-agents-python/examples/tools/skills/csv-workbench ~/.claude/skills/csv-workbenchFrom README
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.
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