meta-pipe

About meta-pipe

Claude Code-powered end-to-end meta-analysis automation: AI-assisted literature review, screening, extraction, analysis, and manuscript generation for systematic reviews and clinical evidence synthesis

biostatistics claude-code clinical-research clinical-trials data-extraction evidence-based-medicine manuscript-generation meta-analysis python reproducible-research

Quick Facts

Stars	105
Forks	38
Language	Python
Category	Claude Skill
Quality Score	51.5864963013798/100
Open Issues	10
Last Updated	2026-07-03
Created	2026-02-05
Platforms	claude-code, cli, python
Est. Tokens	~13k

Compatible Skills

These tools work well together with meta-pipe for enhanced workflows:

m4 — semantic(0.43)+complementary+rare_topics+same_lang+similar_pop+shared_platform (70%)
AlterLab-Academic-Skills — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)
Auto-Research-Skills — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)

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Frequently Asked Questions

What is meta-pipe?

meta-pipe is Claude Code-powered end-to-end meta-analysis automation: AI-assisted literature review, screening, extraction, analysis, and manuscript generation for systematic reviews and clinical evidence synthesi. It is categorized as a Claude Skill with 105 GitHub stars.

What programming language is meta-pipe written in?

meta-pipe is primarily written in Python. It covers topics such as biostatistics, claude-code, clinical-research.

How do I install or use meta-pipe?

You can find installation instructions and usage details in the meta-pipe GitHub repository at github.com/htlin222/meta-pipe. The project has 105 stars and 38 forks, indicating an active community.

View on GitHub → Browse Claude Skill tools