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csv-workbench

Analyze CSV files with Python and get concise numerical summaries. The skill checks column structure before calculating requested aggregates, includes units when available, and explains assumptions when data is missing or incorrectly formatted.

OriginalShow the original description

Analyze CSV files in /mnt/data and return concise numeric summaries.

See how to install

Good for

  • Quick summaries of CSV data
  • Calculating requested aggregates
  • Reporting assumptions about missing or malformed data

Files included (2)

  • SKILL.md587 B
  • playbook.md599 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

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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