data-stats-analysis
This skill provides local execution of common statistical tests using scipy and statsmodels, including t-tests, ANOVA, correlation analysis, and multiple testing corrections. It works with any LLM provider and includes practical examples for biological data analysis like differential expression and cell type enrichment.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install starlitnightly-omicverse-data-stats-analysis
Repository
Skill path: .claude/skills/data-stats-analysis
This skill provides local execution of common statistical tests using scipy and statsmodels, including t-tests, ANOVA, correlation analysis, and multiple testing corrections. It works with any LLM provider and includes practical examples for biological data analysis like differential expression and cell type enrichment.
Open repositoryBest for
Primary workflow: Research & Ops.
Technical facets: Data / AI, Testing.
Target audience: Data teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Starlitnightly.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install data-stats-analysis into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Starlitnightly/omicverse before adding data-stats-analysis to shared team environments
- Use data-stats-analysis for data workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.