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
+ 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.
All Skills
Orchestrator
orchestrateNEWSingle 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-litPubMed + 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-retrievalNEWBatch 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-reportingManuscript 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-studyIdentifies analysis unit, cohort logic, data leakage risks, and validation strategy.
- ✓Leakage risk detection
- ✓Comparator design review
- ✓Reporting guideline matching
Statistical Analysis
analyze-statsReproducible 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-figuresJournal-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-builderStructures significance, innovation, approach, milestones, and consortium roles.
- ✓NIH / NRF format support
- ✓Specific aims page
- ✓Budget justification
Project Intake
intake-projectClassifies new research projects, summarizes state, and recommends next steps.
- ✓Project type classification
- ✓Missing input detection
- ✓Lightweight scaffolding
Paper Presentations
present-paperAcademic 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-skillConvert personal Claude Code skills into distributable, open-source-ready packages.
- ✓Automated PII audit
- ✓License compatibility check
- ✓Generalization pipeline
Meta-Analysis
meta-analysisFull 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-paperNEWFull 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-reviewNEWPre-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
reviseNEWParses 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-projectNEWScaffold 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-sizeNEWPower 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-dataNEWStandardize, 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-journalNEWMatch 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-protocolNEWGenerate 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.
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