Ejecuta cualquier Skill en Manus
con un clic

Ejecuta cualquier Skill en Manus con un clic

data-insights

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Actualizado28 de abril de 2026 a las 07:46

`/data-insights` analyzes CSV or Excel data and produces plain-English insights. Use when the user wants quick answers about targets, trends, anomalies, segments, top/bottom performers, averages, and totals.

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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Fuente

giljae

giljae/enterprise-ai-skills-antigravity

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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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4 archivos

SKILL.md

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name	data-insights
version	0.1.0
description	`/data-insights` analyzes CSV or Excel data and produces plain-English insights. Use when the user wants quick answers about targets, trends, anomalies, segments, top/bottom performers, averages, and totals.
allowed-tools	["Read","Bash","AskUserQuestion"]

/data-insights

Inputs

Ask for a CSV or Excel file path if none is provided. Confirm the target column only if it is ambiguous.

Output

The script creates a 3-tab Excel output:

Summary
Full Analysis
Raw Data

Also summarize the most important findings in the chat.

Process

Install dependencies from scripts/requirements.txt if needed.
Run python scripts/analyze_data.py <file>.
Report the output file path and 3-5 key insights.

References

Read references/framework.md for the full analysis behavior and expected output.

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name	data-insights
version	0.1.0
description	`/data-insights` analyzes CSV or Excel data and produces plain-English insights. Use when the user wants quick answers about targets, trends, anomalies, segments, top/bottom performers, averages, and totals.
allowed-tools	["Read","Bash","AskUserQuestion"]

/data-insights

Inputs

Ask for a CSV or Excel file path if none is provided. Confirm the target column only if it is ambiguous.

Output

The script creates a 3-tab Excel output:

Summary
Full Analysis
Raw Data

Also summarize the most important findings in the chat.

Process

Install dependencies from scripts/requirements.txt if needed.
Run python scripts/analyze_data.py <file>.
Report the output file path and 3-5 key insights.

References

Read references/framework.md for the full analysis behavior and expected output.