Meta-Analysis Engine Skill

SkillDev tools

Skill for conducting meta-analyses of research findings

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Meta-Analysis Engine Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/scientific-discovery/skills/meta-analysis-engine/SKILL.md and read by ahel’s review.

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

Extract study data
Calculate effect sizes
Pool estimates
Assess heterogeneity
Perform subgroup analyses
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

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: meta-analysis-engine
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter