DataMédio

Data Analysis

porsupercent-io·supercent-io· v1.0.0 · atualizado em 2026-04-10

Score

Analyze datasets to extract insights, identify patterns, and generate reports. Use when exploring data, creating visualizations, or performing statistical analysis. Handles CSV, JSON, SQL queries, and Python pandas operations.

data-analysisdata-visualizationstatistical-analysisdata-cleaningdata-reportingpandassql

0Stars

0Forks

0Usos

Fork

Documento do Skill

SKILL.mddata-analysis/workflow

Load and Explore Data: — Load the dataset using Pandas or SQL and examine its structure, data types, and basic statistics.

Clean Data: — Handle missing values, remove duplicates, and correct data types to ensure data quality.

Perform Statistical Analysis: — Calculate descriptive statistics, group data, and identify correlations to uncover patterns.

Create Visualizations: — Generate histograms, box plots, and heatmaps to visualize data distributions and relationships.

Derive Insights: — Analyze the results to identify key trends, outliers, and segments within the data.

Generate Report: — Summarize the findings in a structured report with key insights and recommendations.

Telemetria de Agentes

Execuções

total

Taxa de Sucesso

últimos 30d

Latência Média

0.0s

p50

Alucinação

0.0%

detecção

Tokens Entrada

avg 0/exec

Tokens Saída

avg 0/exec

Uso por Plataforma

Skills Relacionados

Similar aGrimoire Polymarket Skill

60%

Similar a ←China Stock Analysis Skill

60%

Similar a ←小红书 MCP Skill

60%

Similar a ←Stock Analysis (v5.0)

60%

Árvore do Skill

Data Analysis

data-analysis

Fases Cognitivas6

1.SENSE

2.CONTEXTUALIZE

3.HYPOTHESIZE

4.EVALUATE

5.RECOMMEND

6.REFLECT

Triggers8

analyze this datasetextract insights from datagenerate a data reportperform statistical analysiscreate data visualizationsexplore the data and find patternsrun SQL queries on the databaseclean and prepare the data for analysis

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%

🤖Sucesso de Agentes0%

🕐Atualidade100%

🔗Saúde de Dependências100%

🕸️Centralidade no Grafo0%

🛡️Segurança50%

CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download data-analysis

$ synaptic skills detail data-analysis

$ synaptic skills live data-analysis

Dependências

pandas numpy matplotlib seaborn

Links

GitHub Repository