Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Combines vector similarity and keyword-based search to improve retrieval accuracy in RAG systems and search engines.
Standardizes AI agent development through reusable, composable, and version-controlled prompt templates.
Optimizes machine learning hyperparameters using the R Tidymodels ecosystem for improved model performance.
Builds and orchestrates end-to-end MLOps pipelines from data preparation and training through to production deployment.
Provides comprehensive guidance and command references for the Market Research plugin to streamline competitive analysis and trend reporting.
Generates professional data visualizations and plots using industry-standard Python libraries like Matplotlib, Seaborn, and Plotly.
Implement high-performance similarity search and vector retrieval patterns across multiple database providers.
Calculates comprehensive financial risk metrics including VaR, CVaR, Sharpe, and Sortino ratios for quantitative portfolio management.
Implements robust model validation and resampling techniques using the R tidymodels ecosystem and rsample package.
Synthesizes established metrics into structured driver assessments and integrated analytical reports using the HEAD framework.
Orchestrates end-to-end MLOps pipelines from data ingestion and preparation to model training, validation, and production deployment.
Builds and manages complex LangGraph agent systems using a structured, 7-layer architectural pattern for scalable AI development.
Generates cinematic video transitions and morphing animations between two keyframe images using Google’s Veo 3.1 via fal.ai.
Transforms raw analytics into persuasive business narratives through structured storytelling, visualization techniques, and executive-ready frameworks.
Optimizes Apache Spark jobs through advanced partitioning, memory management, and shuffle performance tuning.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Manages and automates complex text transformation pipelines via the TextCleaner REPL interface.
Provides a specialized laboratory environment for experimenting with and implementing advanced Claude capabilities.
Implements robust hybrid search systems by combining vector similarity and keyword-based retrieval for enhanced RAG performance.
Accelerates protein engineering and research using state-of-the-art ESM3 and ESM C language models for sequence generation and structure prediction.
Implements high-performance similarity search and vector database patterns for AI-driven applications.
Integrates the Replicate API for seamless deployment and execution of generative AI models like Flux, SDXL, and custom LoRA weights.
Calculates comprehensive portfolio risk metrics and performance indicators for quantitative trading strategies.
Implements efficient semantic search and vector database patterns for RAG and recommendation systems.
Designs and implements sophisticated LLM applications using LangChain 1.x and LangGraph for advanced agent orchestration and state management.
Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for efficient AI applications.
Builds robust, production-grade backtesting systems to validate trading strategies while eliminating common statistical biases.
Optimizes semantic search and RAG applications through advanced embedding model selection and document chunking strategies.
Calculates TAM, SAM, and SOM using professional methodologies to quantify market opportunities for startups and new business ventures.
Builds and automates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
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