meta-analysis-engine
Skill for conducting meta-analyses of research findings
Profile →npx skills add a5c-ai/babysitter --skill meta-analysis-engine --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.
# 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
- Purpose
- Capabilities
- Usage Guidelines
- Process Integration
- Configuration
- Output Artifacts
What does the meta-analysis-engine skill do?
Skill for conducting meta-analyses of research findings
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill meta-analysis-engine --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.