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claude-codescience

Babysitter meta-analysis-engine

Skill for conducting meta-analyses of research findings

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 "$T/library/specializations/domains/science/scientific-discovery/skills/meta-analysis-engine" ~/.claude/skills/a5c-ai-babysitter-meta-analysis-engine && rm -rf "$T"
manifest: library/specializations/domains/science/scientific-discovery/skills/meta-analysis-engine/SKILL.md
tags
#meta-analysis#effect-size#heterogeneity#forest-plot#publication-bias#study-synthesis
source content

Meta-Analysis Engine Skill

Purpose

Conduct meta-analyses to synthesize effect sizes across studies and estimate pooled effects with heterogeneity assessment.

Capabilities

  • Extract effect sizes
  • Calculate pooled estimates
  • Assess heterogeneity
  • Perform subgroup analyses
  • Generate forest plots
  • Evaluate publication bias

Usage Guidelines

  1. Extract study data
  2. Calculate effect sizes
  3. Pool estimates
  4. Assess heterogeneity
  5. Perform subgroup analyses
  6. Evaluate bias

Process Integration

Works within scientific discovery workflows for:

  • Systematic reviews
  • Evidence synthesis
  • Research summarization
  • Effect estimation

Configuration

  • Effect size metrics
  • Pooling methods
  • Heterogeneity tests
  • Visualization options

Output Artifacts

  • Pooled estimates
  • Forest plots
  • Heterogeneity statistics
  • Bias assessments