AGENT SKILL
csv-workbench
Analyze CSV files in /mnt/data and return concise numeric summaries.
使用场景电子表格
- License 许可
- MIT
- 最近更新
- 2026-11-11
- Stars
- ★ 3.1w
- Forks
- 5.0k
01 前言 Front Matter
- name
- csv-workbench
- description
- Analyze CSV files in /mnt/data and return concise numeric summaries.
02 资源文件 8
- 资产文件assets/example/01-user-input-rfc8805-feed.csv214 B
- 资产文件assets/iso3166-1.json22.0 KB
- 资产文件assets/iso3166-2.json313.2 KB
- 资产文件assets/small-territories.json1.0 KB
- 参考文档playbook.md599 B
- 参考文档references/rfc8805.txt29.9 KB
- 参考文档references/snippets-python3.md3.4 KB
- 脚本scripts/templates/index.html98.2 KB
03 SKILL.md 正文
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.
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