htlin222Community·14 Agent Skills Included

meta-pipe

End-to-end systematic review and meta-analysis automation

Automates the full meta-analysis workflow from research question to submission-ready manuscript. Handles literature search, dual-review screening, PDF retrieval, data extraction, R statistical analysis, and GRADE quality checks. Eliminates months of manual spreadsheet work and produces PRISMA-compliant reports, forest plots, and journal-formatted papers in hours.

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npx skills add htlin222/meta-pipe --all -g -y

Available:

Instructs the agent on how to route user requests like 'start' or 'continue' to the correct pipeline stage skill, enforce feasibility checks, and follow environment and quality-gate rules.

All Skills in This Repository (14)

Pure Emerald Level Indicators

📦 In Repo

htlin222

ma-meta-analysis

Compute effect sizes, heterogeneity, and publication-bias diagnostics in R.

ma-publication-quality

Audit meta-analytic manuscripts for PRISMA 2020 and MOOSE reporting completeness.

ma-screening-quality

Automate title and abstract screening with inclusion/exclusion criteria for meta-analysis.

ma-end-to-end

Automate end-to-end meta-analysis orchestration from TOPIC.txt to manuscript and reviewer responses.

ma-topic-intake

Translate a meta-analysis topic from TOPIC.txt into a formal PICO/PECO protocol and generate scaffold files under 01_protocol.

ma-data-extraction

Extract and structure meta-analysis study data into a SQLite database.

ma-agent-teams

Orchestrate Claude Code agent teams for parallel meta-analysis workflows.

ma-peer-review

Validate meta-analysis manuscripts for rigor, reproducibility, and reporting compliance.

ma-search-bibliography

Automate multi-database literature searches and generate deduplicated BibTeX bibliographies.

ma-manuscript-quarto

Automate drafting and rendering of meta-analysis manuscripts as Quarto documents.

ma-fulltext-management

Automate gathering, validation, and organization of full-text PDFs for systematic reviews.

post-to-discussion

Post completed meta-analysis projects to GitHub Discussions with authenticated GitHub CLI.

Community

Intermediate

Frequently Asked Questions

FAQPage Schema

How to install meta-pipe?▼

Run `npx skills add htlin222/meta-pipe --all -g -y` in your terminal to install all pipeline skills globally.

How to run a meta-analysis with AI?▼

Create a project, paste your research question into TOPIC.txt, then tell your agent to start. It runs the 9-stage pipeline from protocol to manuscript automatically.

Does meta-pipe follow PRISMA guidelines?▼

Yes. It enforces PRISMA 2020 checklists, generates flow diagrams, requires dual-review screening with Cohen's kappa, and supports GRADE certainty assessment.

Can meta-pipe do network meta-analysis?▼

Yes. It routes projects with three or more treatments to a dedicated network meta-analysis workflow with transitivity checks and CINeMA confidence ratings.

Do I need coding experience to use meta-pipe?▼

No. You describe your research question in plain English and the agent handles the Python, R, and Quarto execution for you.