regression-analyzer
Skill for comprehensive regression analysis and modeling
Profile →npx skills add a5c-ai/babysitter --skill regression-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Regression Analyzer Skill ## Purpose Perform comprehensive regression analyses including model fitting, diagnostics, and interpretation for scientific data. ## Capabilities - Fit linear models - Build generalized models - Perform diagnostics - Handle multicollinearity - Generate predictions - Interpret coefficients ## Usage Guidelines 1. Prepare data 2. Specify model 3. Fit regression 4. Run diagnostics 5. Refine if needed 6. Interpret results ## Process Integration Works within scientific discovery workflows for: - Relationship modeling - Prediction generation - Effect estimation - Variable selection ## Configuration - Model specifications - Diagnostic tests - Variable selection - Output formatting ## Output Artifacts - Model summaries - Diagnostic plots - Coefficient tables - Prediction outputs
- Purpose
- Capabilities
- Usage Guidelines
- Process Integration
- Configuration
- Output Artifacts
What does the regression-analyzer skill do?
Skill for comprehensive regression analysis and modeling
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill regression-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.