Browse 138,453 skills across 70 categories. Mirrored from majiayu000/claude-skill-registry.
Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa pr...
Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), cl...
Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 P...
Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.1 P...
使用 Nano Banana Pro AI 创建可发表级别的科学示意图，并支持智能迭代优化。使用 Gemini 3 Pro 进行质量审查；仅当质量低于当前文档类型要求阈值时才会重新生成。专注于神经网络架构图、系统架构图、流程图、生物通路图以...
Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research...
Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary conne...
Build slide decks and presentations for research talks. Use this for making PowerPoint slides, conference presentations,...
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, si...
Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ord...
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), un...
Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill w...
Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning...
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and catego...
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining mac...
Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with pr...
Comprehensive scientific research toolkit with 139 specialized skills for biology, chemistry, medicine, data science, an...
Scientific research and analysis skills. Use when performing scientific analysis, literature review, or research methodo...
使用 Nano Banana Pro AI 构建科研报告和演示幻灯片。可生成高质量、视觉效果出色的 PDF 演示文稿，包含 AI 生成的幻灯片内容。适用于会议报告、学术研讨会报告、论文答辩幻灯片或各类科学演讲。提供幻灯片结构设计、版式与设计...
Build slide decks and presentations for research talks using Nano Banana Pro AI. Generates stunning PDF presentations wi...
研究 codex 使用 skill 生成 survey 這件事
Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API. Use for s...
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
Forces hypothesis-driven scientific reasoning for complex problems. Use when debugging strange behavior, investigating r...
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...
Expert assistant for choosing and implementing scientific workflow tools - from simple joblib caching to complex orchest...
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...
Advanced research - complex analysis and ML (Opus-tier)
Basic data analysis - fast exploratory analysis (Haiku-tier)