Data Scientist

Turns EDA, hypothesis testing, and predictive modeling into conversational workflows. You'll reach for this when you need to design A/B tests, build classification or regression models, or translate messy data patterns into business metrics that actually mean something. The skill emphasizes validation and uncertainty quantification, which matters if you've ever had a model fall apart in production. It passed audits from Gen Agent Trust Hub, Socket, and Snyk, and has 144 installs with 76 GitHub stars. The core promise is rigorous statistical analysis without drowning in boilerplate, though how well it handles complex causal inference in practice depends on your data quality and problem framing.

Install to Claude Code

npx -y skills add 404kidwiz/claude-supercode-skills --skill data-scientist --agent claude-code

Installs to .claude/skills