Open Source

Medical Research Skills for Claude Code

20 skills covering the full research lifecycle — from literature search to manuscript revision. Built by physicians, battle-tested on real publications. MIT licensed.

Research Pipeline

Literature Reviewsearch-lit
NEWFull-Text Retrievalfulltext-retrieval
Study Designdesign-study
Analysisanalyze-stats
Figuresmake-figures
NEWWritingwrite-paper
Reportingcheck-reporting
NEWSelf-Reviewself-review
NEWRevisionrevise
Presentingpresent-paper

+ orchestrate · meta-analysis · grant-builder · intake-project · manage-project · publish-skill

End-to-End Pipeline Demo

Live demo: from sklearn.datasets.load_breast_cancer() to a full manuscript with 4 figures, STARD compliance audit, and 12-slide presentation — all generated by chaining skills via orchestrate Full Pipeline Mode.

View Demo on GitHub

All Skills

Orchestrator

orchestrateNEW

Single entry point for the full bundle. Classifies your request and routes to the right skill — or chains multiple skills end-to-end via Full Pipeline Mode.

  • Automatic intent classification
  • End-to-end pipeline: skills chain automatically
  • Project context detection

Literature Search

search-lit

PubMed + Semantic Scholar + bioRxiv search with anti-hallucination citation verification. Token-efficient error handling.

  • Every reference verified via API
  • BibTeX export
  • No fabricated citations

Full-Text Retrieval

fulltext-retrievalNEW

Batch open-access PDF downloader. Unpaywall → PMC → OpenAlex → CrossRef pipeline. OA-only — no paywall bypass.

  • DOI list or TSV input
  • PDF validation built-in
  • Manual-needed list for paywalled papers

Reporting Guidelines

check-reporting

Manuscript compliance audit against 15 reporting guidelines with item-by-item assessment and section boundary checks.

  • STROBE, STARD, PRISMA, CONSORT, TRIPOD+AI
  • Results/Discussion boundary check
  • Actionable fix suggestions

Study Design

design-study

Identifies analysis unit, cohort logic, data leakage risks, and validation strategy.

  • Leakage risk detection
  • Comparator design review
  • Reporting guideline matching

Statistical Analysis

analyze-stats

Reproducible Python/R code for diagnostic accuracy, inter-rater agreement, and more. Calibration mandatory for prediction models.

  • DTA, survival, demographics tables
  • Publication-ready output
  • Effect sizes with CIs

Publication Figures

make-figures

Journal-spec figures: ROC curves, forest plots, flow diagrams, Kaplan-Meier, and more.

  • 300 DPI, colorblind-safe
  • PRISMA / CONSORT / STARD flows
  • Bland-Altman, confusion matrices

Grant Proposals

grant-builder

Structures significance, innovation, approach, milestones, and consortium roles.

  • NIH / NRF format support
  • Specific aims page
  • Budget justification

Project Intake

intake-project

Classifies new research projects, summarizes state, and recommends next steps.

  • Project type classification
  • Missing input detection
  • Lightweight scaffolding

Paper Presentations

present-paper

Academic presentation prep: paper analysis, speaker scripts, slide note injection, Q&A.

  • Audience-adapted scripts
  • PPTX note injection utility
  • Multi-perspective Q&A prep

Skill Publishing

publish-skill

Convert personal Claude Code skills into distributable, open-source-ready packages.

  • Automated PII audit
  • License compatibility check
  • Generalization pipeline

Meta-Analysis

meta-analysis

Full 8-phase systematic review and meta-analysis pipeline. DTA (bivariate/HSROC) and intervention MA with PRISMA-DTA compliance.

  • Protocol to manuscript pipeline
  • Bivariate & HSROC models
  • PRISMA-DTA compliant

Manuscript Writing

write-paperNEW

Full 8-phase IMRAD pipeline from outline to submission-ready manuscript with built-in critic-fixer loops and section boundary enforcement.

  • Anti-interpretation guardrails in Results
  • Interactive Discussion with anchor papers
  • AI writing pattern detection

Self-Review

self-reviewNEW

Pre-submission check across 10 categories with research-type branching (AI, observational, educational, meta-analysis, case report, surgical).

  • Major / Minor severity classification
  • Calibration mandatory for prediction models
  • R0 numbering for /revise pipeline

Revision Response

reviseNEW

Parses reviewer decision letters, classifies comments as MAJOR/MINOR/REBUTTAL, and generates point-by-point responses.

  • Structured response templates
  • Change log with page/line refs
  • Cover letter generation

Project Management

manage-projectNEW

Scaffold research projects, track writing progress, generate submission checklists and backwards timelines.

  • Project scaffolding (init)
  • Phase progress tracking
  • Pre-submission checklist

Sample Size Calculator

calc-sample-sizeNEW

Power analysis and sample size estimation for diagnostic accuracy, group comparison, and correlation studies.

  • DTA (sensitivity/specificity) power
  • Two-group comparison (t-test, chi-square)
  • Reproducible R/Python code output

Data Cleaning

clean-dataNEW

Standardize, validate, and transform raw research datasets. Handles missing data, outlier detection, and variable recoding.

  • Missing data summary & imputation
  • Outlier detection (IQR, Z-score)
  • Codebook generation

Journal Finder

find-journalNEW

Match your manuscript to target journals by scope, impact factor, turnaround time, and open-access policy.

  • Scope & audience matching
  • Impact factor / CiteScore lookup
  • OA fee & turnaround estimates

Protocol Writing

write-protocolNEW

Generate SPIRIT-compliant study protocols and PROSPERO registration drafts for systematic reviews.

  • SPIRIT checklist integration
  • PROSPERO registration draft
  • Ethics submission boilerplate

Why These Skills?

Anti-Hallucination Citations

Every reference verified against PubMed, Semantic Scholar, or CrossRef APIs. No citation is ever generated from memory alone.

16 Reporting Guidelines

STROBE, STARD, TRIPOD+AI, PRISMA, ARRIVE built-in. CONSORT, CARE, SPIRIT, CLAIM supported via knowledge-based assessment.

Publication-Ready Output

300 DPI figures, colorblind-safe palettes, reproducible Python/R code. Ready for journal submission.

Installation

Copy skills to your Claude Code skills directory. That's it.

NEW

Claude Code Desktop (No terminal needed)

No programming experience? Use the Desktop app instead of the CLI. Download ZIP from GitHub, copy the skills folder — done.

Step-by-step guide

CLI — Install all skills

git clone https://github.com/aperivue/medsci-skills.git
cp -r medsci-skills/skills/* ~/.claude/skills/

CLI — Install a single skill

git clone https://github.com/aperivue/medsci-skills.git
cp -r medsci-skills/skills/check-reporting ~/.claude/skills/

Requires Claude Code Desktop or CLI. Python 3.9+ for statistical analysis and figure generation.

Ready to streamline your research?

MIT License · Built by Aperivue