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A comprehensive list of Claude skills for a wide range of data analytics tasks
| Date | Stars |
|---|---|
| 2026-07-31 | 335 |
| 2026-08-06 | 346 |
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<div align="center"> # Data Analytics Skills for Claude **31 portable AI-powered skills that turn Claude into a hands-on analytics partner** *No setup required · Works for any company or industry* <br> [](./README.md#-skill-categories) [](./README.md#-skill-categories) [](./README.md#-quick-start) [](./README.md#why-these-skills-are-different) </div> --- ## What's in this repo? A structured library of **skills** (reusable instruction sets) that Claude activates on demand to help with every stage of the analyst workflow: from data quality checks and deep-dive analysis, through documentation and dashboards, all the way to stakeholder communication. --- ## 🗺️ Skill Map  > [Open interactive version on Excalidraw](https://excalidraw.com/#json=wWcmLjEVHAYl4I4fynPSm,d8UC4Lexp2iSy5OPfIyJPQ) --- ## Why these skills are different > [!NOTE] > Traditional AI assistants require extensive upfront configuration — schemas, metric definitions, business rules — before they're useful. **These skills work on-demand.** | Traditional approach | These skills | |---------------------|--------------| | Needs prep before use | Zero setup required | | Breaks when business rules change | Adapts naturally | | Company-specific, hard to share | Portable across any org | | Silent on assumptions | Teaches you what context matters | Each skill asks targeted questions to gather exactly what it needs, then executes a complete, structured workflow. --- ## 📚 Skill Categories <details> <summary><b>🔍 01 · Data Quality & Validation</b> <code>5 skills</code></summary> <br> *Foundation — start here whenever you're working with new data.* | Skill | What it does | |-------|-------------| | **[programmatic-eda](01-data-quality-validation/programmatic-eda/)** | Systematic exploratory data analysis with automated sanity checks | | **[data-quality-audit](01-data-quality-validation/data-quality-audit/)** | Comprehensive quality assessment against business rules and schema | | **[query-validation](01-data-quality-validation/query-validation/)** | SQL review for correctness, performance, and edge cases | | **[schema-mapper](01-data-quality-validation/schema-mapper/)** | Understand database relationships and table structures | | **[metric-reconciliation](01-data-quality-validation/metric-reconciliation/)** | Investigate discrepancies between metric sources | </details> <details> <summary><b>📝 02 · Documentation & Knowledge</b> <code>5 skills</code></summary> <br> *Build reusable context so you never explain the same thing twice.* | Skill | What it does | |-------|-------------| | **[semantic-model-builder](02-documentation-knowledge/semantic-model-builder/)** | Create a shared semantic layer for key metrics and dimensions | | **[analysis-documentation](02-documentation-knowledge/analysis-documentation/)** | Document findings with reproducible methodology | | **[data-catalog-entry](02-documentation-knowledge/data-catalog-entry/)** | Standardized metadata and descriptions for data assets | | **[sql-to-business-logic](02-documentation-knowledge/sql-to-business-logic/)** | Translate complex SQL into plain business language | | **[analysis-assumptions-log](02-documentation-knowledge/analysis-assumptions-log/)** | Track every assumption and decision in an analysis | </details> <details> <summary><b>📊 03 · Data Analysis & Investigation</b> <code>7 skills</code></summary> <br> *Core workflows for the analytical heavy lifting.* | Skill | What it does | |-------|-------------| | **[cohort-analysis](03-data-analysis-investigation/cohort-a
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