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csv-analyzer

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Mis à jour17 mars 2026 à 11:36

Analyzes CSV files and generates summary reports when users have data files to analyze. Use this skill when the user asks to analyze, summarize, or get insights from a CSV file.

Installation

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

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Source

gxcsoccer

gxcsoccer/skillprobe

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Métiers associésSOC

Basé sur la classification professionnelle SOC

Scientifiques des donnéesProfessions informatiques et mathématiques·SOC 15-2051

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4 fichiers

SKILL.md

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name	csv-analyzer
version	1.0.0
description	Analyzes CSV files and generates summary reports when users have data files to analyze. Use this skill when the user asks to analyze, summarize, or get insights from a CSV file.

CSV Analyzer Skill

When to Use

User has a CSV file and wants analysis, statistics, or summary
User asks "分析这个 CSV"、"这个数据文件有什么问题"、"summarize this spreadsheet"
User provides a path to a .csv file

Steps

Read the CSV - Use Read tool to load the CSV file from workspace
Analyze - Compute basic stats (row count, columns, nulls, sample values)
Produce report - Create analysis report (markdown or text) in outputs/ or as response
Optional - Generate visualization if requested

Implementation Notes

Input: CSV file path (user may specify or use workspace/data/*.csv)
Output: outputs/analysis-report.md or similar
Use Python pandas or Node.js csv-parse for analysis

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name	csv-analyzer
version	1.0.0
description	Analyzes CSV files and generates summary reports when users have data files to analyze. Use this skill when the user asks to analyze, summarize, or get insights from a CSV file.

CSV Analyzer Skill

When to Use

User has a CSV file and wants analysis, statistics, or summary
User asks "分析这个 CSV"、"这个数据文件有什么问题"、"summarize this spreadsheet"
User provides a path to a .csv file

Steps

Read the CSV - Use Read tool to load the CSV file from workspace
Analyze - Compute basic stats (row count, columns, nulls, sample values)
Produce report - Create analysis report (markdown or text) in outputs/ or as response
Optional - Generate visualization if requested

Implementation Notes

Input: CSV file path (user may specify or use workspace/data/*.csv)
Output: outputs/analysis-report.md or similar
Use Python pandas or Node.js csv-parse for analysis