Analyze CSV files in /mnt/data and return concise numeric summaries.
Scanned 9/4/2026
Install to Claude Code
npx -y skills add openai/openai-agents-python --skill csv-workbench --agent claude-codeInstalls into .claude/skills of the current project.
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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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