数据与研究

data-analytics-skills-claude

reason-machines/data-skills

Use Claude's portable data analytics skills library for quality checks, analysis, documentation, visualization, and stakeholder communication

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安装命令

npx skills add https://github.com/reason-machines/data-skills --skill data-analytics-skills-claude

SKILL.md

Data Analytics Skills for Claude

Skill by ara.so — Data Skills collection.

A structured library of 31 reusable AI-powered skills that turn Claude into a hands-on analytics partner. Each skill is a self-contained instruction set that works on-demand without setup, asking targeted questions to gather exactly what it needs before executing a complete analytical workflow.

What This Project Does

This is a skill collection, not a library you import. When you describe an analytics task, Claude automatically selects and activates the appropriate skill from six categories:

  1. Data Quality & Validation (5 skills) - EDA, quality audits, query validation, schema mapping
  2. Documentation & Knowledge (5 skills) - Semantic models, documentation, SQL translation
  3. Data Analysis & Investigation (7 skills) - Cohorts, segmentation, funnels, time series, A/B tests
  4. Data Storytelling & Visualization (5 skills) - Insights, charts, dashboards, narratives
  5. Stakeholder Communication (5 skills) - Translation, requirements, impact quantification
  6. Workflow Optimization (4 skills) - Planning, context packaging, peer review

Installation

Data Analytics Skills for Claude

Skill by ara.so — Data Skills collection.

A structured library of 31 reusable AI-powered skills that turn Claude into a hands-on analytics partner. Each skill is a self-contained instruction set that works on-demand without setup, asking targeted questions to gather exactly what it needs before executing a complete analytical workflow.

What This Project Does

This is a skill collection, not a library you import. When you describe an analytics task, Claude automatically selects and activates the appropriate skill from six categories:

  1. Data Quality & Validation (5 skills) - EDA, quality audits, query validation, schema mapping
  2. Documentation & Knowledge (5 skills) - Semantic models, documentation, SQL translation
  3. Data Analysis & Investigation (7 skills) - Cohorts, segmentation, funnels, time series, A/B tests
  4. Data Storytelling & Visualization (5 skills) - Insights, charts, dashboards, narratives
  5. Stakeholder Communication (5 skills) - Translation, requirements, impact quantification
  6. Workflow Optimization (4 skills) - Planning, context packaging, peer review

Installation