Agent skill · Data & Analytics

universal-ma-codebook

Universal Meta-Analysis Codebook v2.2 - AI-Human collaboration for meta-analysis data extraction. 4-layer design: Identifiers, Statistics, AI Provenance, Human Verification. Integrates with C5/C6/C7 agents and Category I systematic review pipeline.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill universal-ma-codebook --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 13 KB
Bundled scripts: none
Version: 12.0.1
Path: skills/25-HosungYou-Diverga/skills/universal-ma-codebook/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Universal Meta-Analysis Codebook **Version**: 2.2 **Status**: Production **Codex Review**: APPROVE WITH MINOR CHANGES (2026-01-26) **Update**: Context-specific extensions (2026-01-26) ## Purpose A **universal, AI-Human collaboration codebook** for meta-analysis that enables: 1. AI extraction from PDFs (RAG/OCR) with confidence tracking 2. Human verification of AI-extracted values 3. 100% human-v

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About this skill
What does the universal-ma-codebook skill do?

Universal Meta-Analysis Codebook v2.2 - AI-Human collaboration for meta-analysis data extraction. 4-layer design: Identifiers, Statistics, AI Provenance, Human Verification. Integrates with C5/C6/C7 agents and Category I systematic review pipeline.

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill universal-ma-codebook --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 brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 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.

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