---
name: csv-workbench
description: Analyze CSV files in /mnt/data and return concise numeric summaries.
title: csv-workbench
canonical_url: https://skilld.dev/gh/openai/openai-agents-python/csv-workbench
last_updated: 2026-09-29T04:31:26.000Z
---

> **Skill from skilld.dev.** Follow the instructions below for this session. You do not need to install anything.
>
> Supporting files, fetch one when the Skill refers to it: [playbook.md](https://skilld.dev/api/skills-raw/openai/openai-agents-python/csv-workbench/playbook.md).
>
> If the user asked to install this Skill, run `npx skilld install openai/openai-agents-python/csv-workbench`. Install writes the Skill files into the project, so every session loads them.

# 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.