# csv-workbench

> Claude/Codex skill by [@openai](https://omgskills.com/library/openai/index.md) · 29k stars · Updated 2026-08-31

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

Tags: agents, ai, framework, llm, openai, python

## Install

```sh
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-workbench
```

## From 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.

## Links

- HTML page: https://omgskills.com/skills/openai/openai-agents-python/csv-workbench/
- GitHub: https://github.com/openai/openai-agents-python
- Author: [@openai](https://omgskills.com/library/openai/index.md)

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