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	130
Forks	50
Language	Python
Category	Claude Skill
Quality Score	33.8/100
Open Issues	11
Last Updated	2026-09-23
Created	2026-02-05
Platforms	claude-code, cli, python
Est. Tokens	~330k

Compatible Skills

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

m4 — semantic(0.42)+complementary+rare_topics+same_lang+similar_pop (59%)
research-harness — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
BITE — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
af-deep-research — semantic(0.15)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
scitex-python — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop (54%)

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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 130 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 130 stars and 50 forks, indicating an active community.

View on GitHub → Browse Claude Skill tools