Skill for conducting meta-analyses of research findings
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill meta-analysis-engine --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: meta-analysis-engine
description: Skill for conducting meta-analyses of research findings
allowed-tools:
- Bash
- Read
- Write
metadata:
specialization: scientific-discovery
domain: science
category: Data Analysis
skill-id: SK-SCIDISC-018
graph:
domains: [domain:scientific-discovery]
specializations: [specialization:scientific-research-methods]
skillAreas: [skill-area:data-analysis, skill-area:statistical-analysis, skill-area:deep-web-research]
workflows: [workflow:experiment-design, workflow:peer-review-cycle]
roles: [role:research-engineer, role:computational-scientist]
---
# 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
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