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csv-quick-report

当用户给一个 CSV 文件并想要快速统计概览/出一份 markdown 报告时使用。

Skill by nixiakT

IndexedMIT★ 3
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/nixiakt-csv-quick-report-7d408c

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

当用户给一个 CSV 文件并想要快速统计概览/出一份 markdown 报告时使用。

Use cases: documents, spreadsheets

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What's inside

Skill name
csv-quick-report
Description
当用户给一个 CSV 文件并想要快速统计概览/出一份 markdown 报告时使用。
License
MIT
Instructions
21 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • name: "csv-quick-report" does not match folder "example-skill"
  • files: referenced but missing: scripts/summarize.py

Files (1)

  • SKILL.md

SKILL.md (first lines)

# CSV 快速报告 Skill(示例)

这是一个**示例 Skill**,演示 SKILL.md 的结构。Day9 请把它替换/补充为**你所在领域**的 Skill。

## 何时使用
用户提供了 `.csv` 文件,并希望得到:行列规模、每列类型、缺失值、关键数值列的均值/分位数,最后汇成一份 markdown 报告。

## 步骤
1. 用 `read` 或 `bash`(head) 先看 CSV 前几行,确认分隔符与表头。
2. 用 `bash` 跑一小段 python(pandas)统计:`df.describe()`、`df.isna().sum()`、`df.dtypes`。
3. 把结果整理成 markdown 表格。
4. 用 `write` 写出 `report.md`,并向用户给出结论摘要。

## 注意
- 文件可能很大:先看规模再决定是否全量读入。
- 不要臆造列名,一切以 `read` 到的表头为准。

## 可用资源(可选)
- `scripts/summarize.py`:如果你为该 skill 附带脚本,放在这里并在上面引用。

From nixiakT/ticker-dossier, MIT.

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Last commit (this folder)
Aug 11, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

csv-quick-report skill. Agent Mart. https://agentmart.dev/skills/nixiakt-csv-quick-report-7d408c (last updated 2026-10-24)