data-stats-analysis
✓Perform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
Installation
SKILL.md
This skill enables you to perform rigorous statistical analyses including t-tests, ANOVA, correlation analysis, hypothesis testing, and multiple testing corrections. Unlike cloud-hosted solutions, this skill uses standard Python statistical libraries (scipy, statsmodels, numpy) and executes locally in your environment, making it compatible with ALL LLM providers including GPT, Gemini, Claude, DeepSeek, and Qwen.
Issue: "Warning: p-value is very small" Solution: This is normal for highly significant results. Report as p < 0.001 or use scientific notation
Issue: "Division by zero in effect size calculation" Solution: Check for zero variance (all values identical)
Perform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels. Works with ANY LLM provider (GPT, Gemini, Claude, etc.). Source: starlitnightly/omicverse.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/starlitnightly/omicverse --skill data-stats-analysis- Source
- starlitnightly/omicverse
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is data-stats-analysis?
Perform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels. Works with ANY LLM provider (GPT, Gemini, Claude, etc.). Source: starlitnightly/omicverse.
How do I install data-stats-analysis?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/starlitnightly/omicverse --skill data-stats-analysis Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/starlitnightly/omicverse
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01