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Ejecuta cualquier Skill en Manus con un clic

csv-analyzer

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Actualizado17 de marzo de 2026 a las 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.

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

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gxcsoccer

gxcsoccer/skillprobe

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Ocupaciones relacionadasSOC

Basado en la clasificación ocupacional SOC

Científicos de datosOcupaciones informáticas y matemáticas·SOC 15-2051

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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