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data-insights

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Mis à jour28 avril 2026 à 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.

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

giljae

giljae/enterprise-ai-skills-antigravity

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Métiers associésSOC

Basé sur la classification professionnelle SOC

Scientifiques des donnéesProfessions informatiques et mathématiques·SOC 15-2051

Explorateur de fichiers

4 fichiers

SKILL.md

readonly

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.