Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Coordinates multiple specialized AI agents using architectural patterns like fan-out/fan-in, supervisors, and synthesis for complex task execution.
Decomposes complex multi-concept queries into independent searchable terms to optimize retrieval accuracy and coverage in RAG pipelines.
Builds complex AI workflows using decorator-based patterns for parallel execution, persistence, and human-in-the-loop interactions.
Optimizes LLM performance and reduces API costs by implementing Redis-powered semantic similarity caching.
Implements fault-tolerant AI workflows with robust state persistence and recovery for LangGraph applications.
Implements Anthropic's Contextual Retrieval technique to reduce retrieval failures in RAG pipelines through contextualized chunking and hybrid search.
Protects and maintains high-quality test datasets for AI/ML systems through automated backup, restoration, and integrity validation.
Implements autonomous reasoning patterns and agentic workflows for multi-step LLM task execution and self-correction.
Evaluates AI-generated content quality using LLM-as-judge patterns, RAGAS metrics, and automated hallucination detection.
Builds sophisticated TAM/SAM/SOM models and financial scenarios to forecast market potential and stress-test revenue assumptions.
Analyzes Federal Election Commission campaign finance filings and reports directly within the Claude environment.
Integrates Black Forest Labs' FLUX image generation models into applications with professional API patterns and implementation guides.
Optimizes image generation workflows using Black Forest Labs FLUX models through expert prompting and API integration patterns.
Facilitates multi-model AI consultations, parallel multi-agent research, and structured peer-reviewed deliberation to provide diverse expert perspectives.
Optimizes prompt strategies and context inference to transform natural language into precise, platform-aware POSIX commands with minimal user input.
Analyzes and extracts precise information from scientific figures, plots, and experimental setups.
Streamlines scientific peer review by conducting structured section-by-section analysis and generating formal review responses.
Designs and optimizes production-grade Retrieval-Augmented Generation (RAG) systems and vector search architectures.
Leverages Google's Gemini AI models to perform complex reasoning and advanced code analysis within the Claude Code workflow.
Automates comprehensive spreadsheet creation, financial modeling, and data analysis while ensuring zero formula errors and industry-standard formatting.
Integrates the Gemini CLI to provide alternative AI perspectives, multi-model code generation, and automated debugging assistance.
Streamlines the development of AI agents and LLM applications using the LangChain 1.0 framework and LangGraph.
Builds, tests, and deploys interactive data applications using Streamlit with a focus on Snowflake integration and production-grade best practices.
Optimizes embedded LLM system prompts through iterative failure analysis and performance evaluation.
Builds sophisticated crypto market sentiment bots and trading signal agents using the Fear & Greed Index with integrated x402 micropayments.
Builds interactive web applications by bridging HTML/JavaScript interfaces with MATLAB computational backends using the uihtml component.
Designs, implements, and validates high-performance digital filters in MATLAB for signal processing and DSP applications.
Accelerates MATLAB code through advanced vectorization, memory management, and automated profiling techniques.
Streamlines the production machine learning lifecycle with automated data ingestion, secure deployment patterns, and real-time drift detection.
Builds production-grade retrieval systems using modern hybrid search patterns, advanced chunking strategies, and rigorous evaluation frameworks.
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