Generate comprehensive plans for new features by exploring the codebase, synthesizing approaches, validating with...
AI & LLM
LLM integrations, prompt engineering, and AI orchestration
Plan and coordinate multi-agent bead execution. Use when starting a new epic, assigning tracks to agents, or...
Extracts knowledge from Amp threads and updates project docs. Use when asked to document recent work, sync docs...
Systematically diagnose and fix bugs through triage, reproduction, root cause analysis, and verified fixes. Use when...
🤖 Coordinate multi-agent tasks and enhance workflow with versatile skills for autonomous planning and execution.
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A set of ready to use scientific skills for Claude
Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for...
Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray...
Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific...
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM....
Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions,...
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...
PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug...
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs,...
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation...
Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG...
Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API. Use...
Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems...
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining...
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and...
Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer...
Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this...