csv-workbench

$npx mdskill add openai/openai-agents-python/csv-workbench

Analyzes 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

.github/skills/csv-workbenchView on GitHub ↗
---
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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