Data analysis, SQL queries, D3.js visualizations, statistical analysis, and dashboards.
10 skills
Answer data questions — from quick metric lookups to full analyses. Investigates trends, compares segments, explains drops and spikes, and prepares formal data reports for stakeholders.
/data:analyze Build interactive HTML dashboards with charts, filters, KPI cards. Self-contained browser report.
/data:build-dashboard Create publication-quality charts with Python. Right chart type for any comparison or trend.
/data:create-viz Profile and explore datasets: null rates, distributions, duplicates, data quality issues.
/data:explore-data Write correct, performant SQL across all dialects. Optimized analytical queries with CTEs.
/data:sql-queries Apply stats methods: descriptive stats, trend analysis, outlier detection, hypothesis testing.
/data:statistical-analysis QA analysis before sharing: methodology checks, accuracy, aggregation logic, bias review.
/data:validate-data Write optimized SQL: CTEs, window functions, joins. Supports Snowflake, BigQuery, Postgres.
/data:write-query Create data visualizations using D3.js — charts, graphs, maps, and interactive visual data explorations with production-quality output.
/claude-d3js-skill Comprehensive collection of scientific research skills — data analysis, experiment design, literature review, statistical modeling, and reproducible research workflows.
/claude-scientific-skills