Babysitter regression-analyzer
Skill for comprehensive regression analysis and modeling
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/scientific-discovery/skills/regression-analyzer" ~/.claude/skills/a5c-ai-babysitter-regression-analyzer && rm -rf "$T"
manifest:
library/specializations/domains/science/scientific-discovery/skills/regression-analyzer/SKILL.mdsource content
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
- Prepare data
- Specify model
- Fit regression
- Run diagnostics
- Refine if needed
- 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