83,201 skills sorted by stars.
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with det...
Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment...
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation task...
Pragmatic test-driven development for scientific code with numerical validation
Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop p...
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic...
Systematic peer review toolkit. Evaluate methodology, statistics, design, reproducibility, ethics, figure integrity, rep...
Systematic framework for evaluating scholarly and research work based on the ScholarEval methodology. This skill should...
Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorb...
Write scientific manuscripts. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONS...
Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, pow...
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, mole...
PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug dis...
This skill should be used when working with pre-trained transformer models for natural language processing, computer vis...
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports...
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSC...
Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSD...
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex ex...
Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publicatio...
用于生成可投稿级别图件的元技能。当需要创建期刊投稿图（如多面板布局、显著性标注、误差条、色盲友好配色，以及符合特定期刊格式要求，如 Nature、Science、Cell）时使用。该技能可统筹调用 matplotlib / seaborn...
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, si...
研究 codex 使用 skill 生成 survey 這件事
Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points)...
This is the core skill for the deep research and writing tool—combining AI-driven deep research with well-formatted writ...
深度科研研究与写作工具的核心技能。用于撰写科学论文，采用完整段落形式（不使用项目符号列表）。采用两阶段流程：（1）使用 research-lookup 创建包含关键要点的章节大纲；（2）将大纲转换为连贯的学术行文。遵循 IMRAD 结构，支...
Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible,...
Standard data analysis - comprehensive statistical analysis (Sonnet-tier)
Universal scientific thinking framework for rigorous inquiry across all domains - from engineering and data analysis to...