By youyinnn
Skills for academic writing, venue templates, peer review, and presentation materials
Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration, and poster-specific best practices for visual communication.
Comprehensive markdown and Mermaid diagram writing skill. Use when creating any scientific document, report, analysis, or visualization. Establishes text-based diagrams as the default documentation standard with full style guides (markdown + mermaid), 24 diagram type references, and 9 document templates.
This skill should be used when converting academic papers into promotional and presentation formats including interactive websites (Paper2Web), presentation videos (Paper2Video), and conference posters (Paper2Poster). Use this skill for tasks involving paper dissemination, conference preparation, creating explorable academic homepages, generating video abstracts, or producing print-ready posters from LaTeX or PDF sources.
Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validity, reporting standards compliance (CONSORT/STROBE), and constructive feedback. Best for actual review writing, manuscript revision. For evaluating claims/evidence quality use scientific-critical-thinking; for quantitative scoring frameworks use scholar-evaluation.
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A curated collection of 50 Claude Code skills organized by research workflow stage, tailored for AI and Medical AI PhD researchers.
| File | Description |
|---|---|
| PLATFORM_GUIDE.en.md | Which skills work in Claude Code vs Claude.ai |
| PLATFORM_GUIDE.zh.md | 平台兼容性指南(中文) |
| recommended_skills_for_medical_ai_phd.en.md | Recommended skills by research stage (English) |
| recommended_skills_for_medical_ai_phd.zh.md | 按研究阶段推荐的 skills(中文) |
| Plugin | Skills | Description |
|---|---|---|
literature-and-topic-selection | 12 | Topic ideation, literature review, academic databases |
data-preparation-and-processing | 12 | Medical imaging, EHR, physiological signals, data processing |
model-development-and-experiments | 11 | Deep learning, GNNs, explainability, time series |
results-analysis-and-visualization | 6 | Plotting, statistical analysis, interactive visualization |
paper-writing-and-submission | 10 | Academic writing, slides, posters, peer review |
/plugin marketplace add youyinnn/skills-collection
/plugin install literature-and-topic-selection@skills-collection
/plugin install data-preparation-and-processing@skills-collection
/plugin install model-development-and-experiments@skills-collection
/plugin install results-analysis-and-visualization@skills-collection
/plugin install paper-writing-and-submission@skills-collection
You can install only the plugins relevant to your current work.
/plugin install literature-and-topic-selection@skills-collection
/plugin install data-preparation-and-processing@skills-collection
/plugin install model-development-and-experiments@skills-collection
/plugin install results-analysis-and-visualization@skills-collection
/plugin install paper-writing-and-submission@skills-collection
| Skill | Purpose |
|---|---|
scientific-brainstorming | Research ideation, finding gaps, cross-disciplinary exploration |
hypothesis-generation | Derive testable hypotheses from data or literature |
literature-review | Systematic review across PubMed / arXiv / bioRxiv |
scientific-critical-thinking | Evaluate study design, identify bias, evidence grading (GRADE) |
citation-management | Reference management workflows |
pyzotero | Programmatic Zotero library management |
arxiv-database | Search arXiv preprints (CS / AI / Statistics) |
pubmed-database | PubMed REST API with Boolean / MeSH queries |
biorxiv-database | Search bioRxiv life science preprints |
openalex-database | Query 240M+ scholarly works, citation analysis |
bgpt-paper-search | Extract structured experiment data from full-text papers |
research-grants | NSF / NIH / DARPA grant writing |
| Skill | Purpose |
|---|---|
pydicom | Read/write DICOM files (CT / MRI / X-Ray / Ultrasound) |
pathml | Computational pathology WSI analysis, 160+ formats |
histolab | Lightweight H&E tile extraction |
imaging-data-commons | Access NIH public medical imaging datasets |
pyhealth | Medical AI toolkit: MIMIC-III/IV, eICU, OMOP |
clinicaltrials-database | Query ClinicalTrials.gov |
clinvar-database | Query ClinVar genetic variants database |
neurokit2 | Physiological signal processing: ECG / EEG / EDA / PPG |
polars | Fast in-memory dataframe processing |
dask | Distributed computing for larger-than-RAM workflows |
exploratory-data-analysis | EDA reports for scientific data formats |
statistical-analysis | Statistical testing and modeling |
| Skill | Purpose |
|---|---|
pytorch-lightning | Structured PyTorch training with logging and checkpointing |
transformers | HuggingFace transformers for NLP and vision tasks |
torch-geometric | Graph neural networks for molecular / biomedical data |
scikit-learn | Classical ML: classification, regression, clustering |
pymc | Bayesian statistical modeling |
shap | Model explainability via Shapley values |
umap-learn | Dimensionality reduction and embedding visualization |
aeon | Time series classification and regression |
networkx | Graph analysis and network science |
primekg | Biomedical knowledge graph for drug discovery |
stable-baselines3 | Reinforcement learning algorithms |
npx claudepluginhub youyinnn/skills-collection --plugin paper-writing-and-submissionSkills for deep learning, graph neural networks, explainability, time series, and dimensionality reduction
Skills for research topic selection, literature review, and academic database search
Skills for scientific visualization, statistical analysis, and interactive plotting
Skills for medical imaging, EHR data, physiological signals, and general data processing
Research orchestration, project intake and management, research-gap and meta-analysis topic discovery, and author-strategy analysis.
Scientific writing, citations, grants, posters, and academic career (13 skills)
Production-grade academic research pipeline for Claude Code: research → write → review → revise → finalize. 4 skills, 27 modes, 39-agent ensemble, v3.7.3 + v3.8 L3 claim-faithfulness gate, v3.9.0 cross-index triangulation, v3.10 triangulation policy layer, v3.11 deterministic citation verification gate (#182).
Academic paper writing skills for ML conferences (NeurIPS, ICML, ICLR, AAAI)
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Academic manuscript toolkit: peer review, manuscript writing, and journal-specific formatting for submission