Use when you've developed a broadly useful skill and want to contribute it upstream via pull request - guides...
AI & LLM
LLM integrations, prompt engineering, and AI orchestration
7,776 スキル
Build timeout-resistant Claude Code workflows with chunking strategies, checkpoint patterns, progress tracking, and...
Restores full context when user says "hi-ai" or starts a new conversation. Searches project files, loads memory...
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into...
Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats,...
Write scientific manuscripts. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines...
Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers,...
Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding,...
Systematic framework for evaluating scholarly and research work based on the ScholarEval methodology. This skill...
Systematic peer review toolkit. Evaluate methodology, statistics, design, reproducibility, ethics, figure integrity,...
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv,...
Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations,...
Analyze datasets to discover patterns, anomalies, and relationships. Use when exploring data files, generating...
Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray...
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM....
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing...
This skill should be used when working with pre-trained transformer models for natural language processing, computer...
Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph...
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs,...
Use this skill when working with scientific research tools and workflows across bioinformatics, cheminformatics,...
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation...
Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for...
Use this skill for reinforcement learning tasks including training RL agents (PPO, SAC, DQN, TD3, DDPG, A2C, etc.),...
Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems...