Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when...
AI & LLM
LLM integrations, prompt engineering, and AI orchestration
Prepares meeting materials by gathering context from Notion, enriching with Claude research, and creating both an...
Turns product or tech specs into concrete Notion tasks that Claude code can implement. Breaks down spec pages into...
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High-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models...
Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local...
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting...
Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This...
This skill should be used when working with reinforcement learning tasks including high-performance RL training,...
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical...
Laboratory automation toolkit for controlling liquid handlers, plate readers, pumps, heater shakers, incubators,...
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison,...
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks...
Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits,...
Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI....
Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision,...
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for...
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair,...
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search....
Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of...