universal-ma-codebook
CommunityStreamline meta-analysis data extraction.
Education & Research#data extraction#systematic review#meta-analysis#AI-human collaboration#codebook#Hedges g
AuthorHosungYou
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates and standardizes the complex process of extracting statistical data from research papers for meta-analysis, ensuring accuracy and efficiency through AI-human collaboration.
Core Features & Use Cases
- AI-Powered Extraction: Leverages AI to extract key statistical values (means, SDs, sample sizes) and metadata from PDFs.
- Human Verification Workflow: Implements a structured process for human review and validation of AI-extracted data, guaranteeing 100% accuracy.
- Context-Specific Extensions: Allows for the addition of custom moderator variables tailored to specific research domains.
- Use Case: Researchers conducting a meta-analysis on the effectiveness of AI in education can use this Skill to rapidly extract relevant statistics from hundreds of papers, with AI flagging potential issues for human reviewers.
Quick Start
Use the universal-ma-codebook skill to extract statistical values from the provided research papers.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: universal-ma-codebook Download link: https://github.com/HosungYou/Diverga/archive/main.zip#universal-ma-codebook Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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