csv-workbench
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npx mdskill add openai/openai-agents-python/csv-workbenchAnalyzes CSV files in /mnt/data to provide quick numeric summaries for tabular data analysis.
- Helps with generating concise numeric summaries from CSV files for quick data insights.
- Integrates with Python standard library tools like csv.DictReader for portable processing.
- Decides by inspecting CSV schema first, then computing requested aggregates with short scripts.
- Presents results as short, actionable outputs with concrete numbers and units when available.
SKILL.md
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--- name: csv-workbench description: Analyze CSV files in /mnt/data and return concise numeric summaries. --- # CSV Workbench Use this skill when the user asks for quick analysis of tabular data. ## Workflow 1. Inspect the CSV schema first (`head`, `python csv.DictReader`, or both). 2. Compute requested aggregates with a short Python script. 3. 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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