Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Automates laboratory liquid handling workflows by generating and optimizing Opentrons Protocol API v2 scripts for Flex and OT-2 robots.
Guides the step-by-step implementation of research papers from scratch to ensure deep understanding and technical reproducibility.
Connects Claude's cognitive orchestration to physical robotics and sensor systems using low-latency control and cryptographic integrity.
Engineers and optimizes high-quality LLM prompts across multiple models using established best practices and systematic refinement techniques.
Implements advanced large language model chat completions and conversational context management using the z-ai-web-dev-sdk.
Builds production-ready AI applications including RAG systems, vector search, and multi-provider LLM orchestrations.
Converts text and long-form markdown documents into high-quality audio locally using the Kokoro-82M model optimized for Apple Silicon.
Orchestrates complex multi-agent workflows and distributed AI architectures for specialized task execution.
Manages the discovery, safety guardrails, and shared contracts for Run-Smart AI coaching skills.
Architects and implements robust ML feature stores using Feast, Great Expectations, and DVC for production-grade machine learning pipelines.
Evaluates athlete health signals and training load to provide conservative pre-run activity recommendations.
Optimizes mean-reversion trading strategy parameters through real-time performance analysis and pattern identification.
Analyzes Interactive Brokers CSV statements to uncover trading edges, identify risk management patterns, and generate professional performance reports.
Performs automated exploratory data analysis and generates comprehensive markdown reports for over 200 scientific file formats.
Streamlines AILANG programming for AI agents by providing real-time syntax rules, capability-based execution, and a searchable library of 90+ code examples.
Optimizes large language models to communicate natively through the Slipstream inter-agent protocol using efficient finetuning workflows.
Generates rigorous experimental frameworks to validate research hypotheses with statistical significance and comprehensive baseline comparisons.
Automates the creation, configuration, and deployment of machine learning demos on Hugging Face Spaces using Gradio, Streamlit, and ZeroGPU.
Provides programmatic access and analysis of comprehensive pharmaceutical data from the DrugBank database for drug discovery and pharmacology research.
Builds comprehensive financial models including DCF analysis, sensitivity testing, and Monte Carlo simulations for investment and valuation decisions.
Optimizes LLM performance through advanced prompt engineering patterns, RAG system design, and agentic architecture implementation.
Simplifies complex data analysis in Excel using advanced formulas, Pivot Tables, and Power Query automation.
Queries and analyzes millions of standardized single-cell genomics data points from the CZ CELLxGENE Census for population-scale biological research.
Builds robust Retrieval-Augmented Generation (RAG) pipelines for grounded AI responses using vector stores and embeddings.
Analyzes and classifies the emotional tone of text data into positive, negative, or neutral categories for rapid opinion mining.
Orchestrates AI execution phases to ensure deterministic outputs and efficient resource management within AGI environments.
Retrieves real-time quotes, historical OHLCV data, and comprehensive option chains from 25+ Indian brokers using the OpenAlgo Python SDK.
Architects high-impact system prompts to define agent identity, rules, and behavior patterns for custom AI assistants.
Implements a decentralized context-sharing protocol for multi-agent systems using cryptographic sharding and Byzantine fault tolerance.
Leverages Google Gemini API to process and analyze audio, video, images, and documents directly within Claude.
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