Execute qualquer Skill no Manus
com um clique

Execute qualquer Skill no Manus com um clique

data-insights

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Atualizado28 de abril de 2026 às 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.

Instalação

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

Executar no Manus

Fonte

giljae

giljae/enterprise-ai-skills-antigravity

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Executar no Manus

Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Cientistas de dadosInformática e Matemática·SOC 15-2051

Explorador de arquivos

4 arquivos

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.