medsci-skills
Installation
Add the marketplace
/plugin marketplace add Aperivue/medsci-skillsInstall plugins
/pluginRun these commands in Claude Code to add this plugin to your environment. The marketplace must be added before you can install its plugins.
Plugins
medsci-literature
Literature search with anti-hallucination citation verification, full-text retrieval, Zotero/Obsidian sync, and reference-integrity audits.
medsci-data
Study design and validity review, literature-grounded variable operationalization, sample-size planning, data cleaning, de-identification, codebook generation, and dataset versioning.
medsci-modeling
Clinical AI model research engineering: choose a paper-grounded architecture, scaffold a reproducible PyTorch training repo, validate the model's split and validation design, document it (Model Card / Datasheet), and evaluate models or LLMs/MLLMs on clinical tasks. Integrates MONAI / nnU-Net, never replaces them.
medsci-analysis
Reproducible statistical analysis, publication-ready figures, batch/cross-national/replication analysis, and meta-analysis synthesis.
medsci-writing
IMRAD manuscript and IRB-protocol drafting, AI-pattern removal, AI-search optimization, and reviewer-response letters.
medsci-review
Pre-submission self-review, peer-review drafting, and reporting-guideline compliance audits against EQUATOR checklists.
medsci-submission
Submission packaging, journal recommendation and profiling, institutional form filling (ICMJE COI, IRB), and grant proposals.
medsci-project
Research orchestration, project intake and management, research-gap and meta-analysis topic discovery, and author-strategy analysis.
medsci-presentation
Academic presentation and PPTX building, PDF/document rendering, environment setup, and skill publishing.
Skills
fulltext-retrieval
Literature search with anti-hallucination citation verification, full-text retrieval, Zotero/Obsidian sync, and reference-integrity audits.
lit-sync
Literature search with anti-hallucination citation verification, full-text retrieval, Zotero/Obsidian sync, and reference-integrity audits.
manage-refs
Literature search with anti-hallucination citation verification, full-text retrieval, Zotero/Obsidian sync, and reference-integrity audits.
search-lit
Literature search with anti-hallucination citation verification, full-text retrieval, Zotero/Obsidian sync, and reference-integrity audits.
verify-refs
Literature search with anti-hallucination citation verification, full-text retrieval, Zotero/Obsidian sync, and reference-integrity audits.
calc-sample-size
Study design and validity review, literature-grounded variable operationalization, sample-size planning, data cleaning, de-identification, codebook generation, and dataset versioning.
clean-data
Study design and validity review, literature-grounded variable operationalization, sample-size planning, data cleaning, de-identification, codebook generation, and dataset versioning.
define-variables
Study design and validity review, literature-grounded variable operationalization, sample-size planning, data cleaning, de-identification, codebook generation, and dataset versioning.
deidentify
Study design and validity review, literature-grounded variable operationalization, sample-size planning, data cleaning, de-identification, codebook generation, and dataset versioning.
design-ai-benchmarking
Study design and validity review, literature-grounded variable operationalization, sample-size planning, data cleaning, de-identification, codebook generation, and dataset versioning.
design-study
Study design and validity review, literature-grounded variable operationalization, sample-size planning, data cleaning, de-identification, codebook generation, and dataset versioning.
generate-codebook
Study design and validity review, literature-grounded variable operationalization, sample-size planning, data cleaning, de-identification, codebook generation, and dataset versioning.
version-dataset
Study design and validity review, literature-grounded variable operationalization, sample-size planning, data cleaning, de-identification, codebook generation, and dataset versioning.
architecture-zoo
Clinical AI model research engineering: choose a paper-grounded architecture, scaffold a reproducible PyTorch training repo, validate the model's split and validation design, document it (Model Card / Datasheet), and evaluate models or LLMs/MLLMs on clinical tasks. Integrates MONAI / nnU-Net, never replaces them.
explainability
Clinical AI model research engineering: choose a paper-grounded architecture, scaffold a reproducible PyTorch training repo, validate the model's split and validation design, document it (Model Card / Datasheet), and evaluate models or LLMs/MLLMs on clinical tasks. Integrates MONAI / nnU-Net, never replaces them.
mllm-eval
Clinical AI model research engineering: choose a paper-grounded architecture, scaffold a reproducible PyTorch training repo, validate the model's split and validation design, document it (Model Card / Datasheet), and evaluate models or LLMs/MLLMs on clinical tasks. Integrates MONAI / nnU-Net, never replaces them.
model-card
Clinical AI model research engineering: choose a paper-grounded architecture, scaffold a reproducible PyTorch training repo, validate the model's split and validation design, document it (Model Card / Datasheet), and evaluate models or LLMs/MLLMs on clinical tasks. Integrates MONAI / nnU-Net, never replaces them.
model-evaluation
Clinical AI model research engineering: choose a paper-grounded architecture, scaffold a reproducible PyTorch training repo, validate the model's split and validation design, document it (Model Card / Datasheet), and evaluate models or LLMs/MLLMs on clinical tasks. Integrates MONAI / nnU-Net, never replaces them.
model-scaffold
Clinical AI model research engineering: choose a paper-grounded architecture, scaffold a reproducible PyTorch training repo, validate the model's split and validation design, document it (Model Card / Datasheet), and evaluate models or LLMs/MLLMs on clinical tasks. Integrates MONAI / nnU-Net, never replaces them.
model-validation
Clinical AI model research engineering: choose a paper-grounded architecture, scaffold a reproducible PyTorch training repo, validate the model's split and validation design, document it (Model Card / Datasheet), and evaluate models or LLMs/MLLMs on clinical tasks. Integrates MONAI / nnU-Net, never replaces them.
preprocess-imaging
Clinical AI model research engineering: choose a paper-grounded architecture, scaffold a reproducible PyTorch training repo, validate the model's split and validation design, document it (Model Card / Datasheet), and evaluate models or LLMs/MLLMs on clinical tasks. Integrates MONAI / nnU-Net, never replaces them.
radiomics-ml
Clinical AI model research engineering: choose a paper-grounded architecture, scaffold a reproducible PyTorch training repo, validate the model's split and validation design, document it (Model Card / Datasheet), and evaluate models or LLMs/MLLMs on clinical tasks. Integrates MONAI / nnU-Net, never replaces them.
uncertainty-imaging
Clinical AI model research engineering: choose a paper-grounded architecture, scaffold a reproducible PyTorch training repo, validate the model's split and validation design, document it (Model Card / Datasheet), and evaluate models or LLMs/MLLMs on clinical tasks. Integrates MONAI / nnU-Net, never replaces them.
analyze-stats
Reproducible statistical analysis, publication-ready figures, batch/cross-national/replication analysis, and meta-analysis synthesis.
batch-cohort
Reproducible statistical analysis, publication-ready figures, batch/cross-national/replication analysis, and meta-analysis synthesis.
cross-national
Reproducible statistical analysis, publication-ready figures, batch/cross-national/replication analysis, and meta-analysis synthesis.
make-figures
Reproducible statistical analysis, publication-ready figures, batch/cross-national/replication analysis, and meta-analysis synthesis.
meta-analysis
Reproducible statistical analysis, publication-ready figures, batch/cross-national/replication analysis, and meta-analysis synthesis.
replicate-study
Reproducible statistical analysis, publication-ready figures, batch/cross-national/replication analysis, and meta-analysis synthesis.
academic-aio
IMRAD manuscript and IRB-protocol drafting, AI-pattern removal, AI-search optimization, and reviewer-response letters.
humanize
IMRAD manuscript and IRB-protocol drafting, AI-pattern removal, AI-search optimization, and reviewer-response letters.
polish-language
IMRAD manuscript and IRB-protocol drafting, AI-pattern removal, AI-search optimization, and reviewer-response letters.
review-paper
IMRAD manuscript and IRB-protocol drafting, AI-pattern removal, AI-search optimization, and reviewer-response letters.
revise
IMRAD manuscript and IRB-protocol drafting, AI-pattern removal, AI-search optimization, and reviewer-response letters.
write-paper
IMRAD manuscript and IRB-protocol drafting, AI-pattern removal, AI-search optimization, and reviewer-response letters.
write-protocol
IMRAD manuscript and IRB-protocol drafting, AI-pattern removal, AI-search optimization, and reviewer-response letters.
check-reporting
Pre-submission self-review, peer-review drafting, and reporting-guideline compliance audits against EQUATOR checklists.
peer-review
Pre-submission self-review, peer-review drafting, and reporting-guideline compliance audits against EQUATOR checklists.
self-review
Pre-submission self-review, peer-review drafting, and reporting-guideline compliance audits against EQUATOR checklists.
add-journal
Submission packaging, journal recommendation and profiling, institutional form filling (ICMJE COI, IRB), and grant proposals.
fill-icmje-coi
Submission packaging, journal recommendation and profiling, institutional form filling (ICMJE COI, IRB), and grant proposals.
fill-protocol
Submission packaging, journal recommendation and profiling, institutional form filling (ICMJE COI, IRB), and grant proposals.
find-journal
Submission packaging, journal recommendation and profiling, institutional form filling (ICMJE COI, IRB), and grant proposals.
grant-builder
Submission packaging, journal recommendation and profiling, institutional form filling (ICMJE COI, IRB), and grant proposals.
sync-submission
Submission packaging, journal recommendation and profiling, institutional form filling (ICMJE COI, IRB), and grant proposals.
author-strategy
Research orchestration, project intake and management, research-gap and meta-analysis topic discovery, and author-strategy analysis.
find-cohort-gap
Research orchestration, project intake and management, research-gap and meta-analysis topic discovery, and author-strategy analysis.
intake-project
Research orchestration, project intake and management, research-gap and meta-analysis topic discovery, and author-strategy analysis.
ma-scout
Research orchestration, project intake and management, research-gap and meta-analysis topic discovery, and author-strategy analysis.
manage-project
Research orchestration, project intake and management, research-gap and meta-analysis topic discovery, and author-strategy analysis.
orchestrate
Research orchestration, project intake and management, research-gap and meta-analysis topic discovery, and author-strategy analysis.
present-paper
Academic presentation and PPTX building, PDF/document rendering, environment setup, and skill publishing.
publish-skill
Academic presentation and PPTX building, PDF/document rendering, environment setup, and skill publishing.
render-pdf-doc
Academic presentation and PPTX building, PDF/document rendering, environment setup, and skill publishing.
setup-medsci
Academic presentation and PPTX building, PDF/document rendering, environment setup, and skill publishing.