Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Builds production-grade, stateful multi-actor AI agents using the LangGraph framework for complex workflows.
Implements tiered memory systems for LLMs to maintain persistent context and entity-based knowledge across interactions.
Implements persistent, multi-tiered memory systems to enhance LLM context retention and entity tracking across interactions.
Architects sophisticated memory structures for AI agents using advanced retrieval strategies and multi-tier cognitive modeling.
Architects and implements high-quality, defensible AI-powered products by bridging LLM APIs with specialized domain logic and robust cost controls.
Implements advanced data resampling and validation strategies using the R tidymodels framework for robust model evaluation.
Architects production-grade, stateful multi-actor AI agents and complex graph-based workflows using the LangGraph framework.
Orchestrates end-to-end MLOps pipelines from data preparation and training to validation and production deployment.
Builds and optimizes profitable AI-powered products by wrapping LLM APIs with production-grade prompt engineering, cost controls, and specialized UX patterns.
Architects sophisticated cognitive memory structures to ensure AI agents retain, organize, and retrieve information with high precision.
Architects robust memory systems for intelligent agents using short-term, long-term, and episodic retrieval patterns.
Implement comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and benchmarking.
Builds production-ready Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground AI responses in external data.
Transforms raw data into persuasive business narratives through visualization frameworks, structured storytelling, and executive-ready presentation patterns.
Implements advanced LLM prompt engineering techniques to maximize model performance, reliability, and controllability in production applications.
Architects sophisticated LLM applications using the LangChain framework for advanced agents, memory management, and modular workflows.
Analyzes CSV datasets, intelligently imputes missing values, and generates interactive Plotly Dash dashboards for exploratory data analysis.
Executes a structured, multi-phase data analysis workflow to transform raw data into actionable business insights and strategic recommendations.
Orchestrates end-to-end machine learning pipelines from data preparation and training to production deployment and monitoring.
Generates comprehensive business performance reports and strategic recommendations from sales and revenue data.
Architects production-ready Apache Airflow pipelines using best practices for orchestration, sensors, and error handling.
Optimizes Apache Spark jobs through advanced partitioning, memory management, and shuffle tuning strategies.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and LLM-as-judge patterns.
Analyzes and transforms CSV datasets into interactive Plotly visualizations and comprehensive statistical reports.
Optimizes vector search performance and resource efficiency for production-scale LLM applications.
Optimizes vector search and RAG applications by implementing advanced embedding model selection and chunking strategies.
Builds robust, production-grade backtesting systems for trading strategies while mitigating common statistical biases and transaction costs.
Builds sophisticated LLM applications using LangChain's agents, memory management, and complex chain patterns.
Implements robust data validation and quality assurance using Great Expectations, dbt tests, and data contracts.
Generates high-performance text embeddings for RAG systems, semantic search, and document clustering using the Gemini API.
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