Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Implements efficient semantic search and vector database patterns for production-grade retrieval systems.
Implements optimized hybrid search patterns combining vector similarity and keyword matching to enhance RAG system recall.
Orchestrates a fleet of 48+ autonomous AI agents for cryptocurrency trading, market analysis, and backtesting across multiple exchanges.
Accesses the NIH Metabolomics Workbench REST API to query metabolite data, study metadata, and perform mass spectrometry searches.
Optimizes LLM performance and reliability through automated model selection, cost estimation, and intelligent fallback strategies.
Generates comprehensive loyalty program performance reports and data-driven growth projections via Metabase integration.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Integrates Google Gemini's advanced multimodal capabilities to process, analyze, and generate audio, video, images, and documents directly within your development workflow.
Calculates comprehensive portfolio risk metrics like VaR, CVaR, and Sharpe ratios to monitor and manage financial exposure.
Queries the Reactome REST API to perform pathway enrichment analysis, gene mapping, and systems biology research directly within Claude.
Performs high-performance, vectorized string manipulation and text cleaning using NumPy's specialized string modules.
Builds robust, production-grade backtesting systems for trading strategies while eliminating common statistical biases.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Architects sophisticated LLM applications using agents, memory, and tool integration within the LangChain framework.
Integrates Google Gemini's multimodal analysis, massive context processing, and image generation capabilities directly into Claude Code.
Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and financial modeling standards.
Manage GrepAI semantic search workspaces including creation, project management, and indexing status monitoring.
Logs machine learning experiments with hyperparameters, metrics, and visualizations for systematic research tracking.
Configures and troubleshoots embedding providers and models for the GrepAI semantic search tool.
Verifies mathematical derivations step-by-step by checking algebra, index consistency, and dimensional accuracy.
Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for high-scale search applications.
Builds a unified abstraction layer for integrating and switching between multiple LLM providers in Rails applications.
Build robust Retrieval-Augmented Generation systems for LLM applications using vector databases and semantic search.
Implements and optimizes text embedding models and chunking strategies for high-performance semantic search and RAG applications.
Optimizes Apache Spark performance through advanced partitioning, memory tuning, and shuffle management strategies.
Optimizes Large Language Model performance through advanced prompting techniques like few-shot learning and chain-of-thought reasoning.
Automates the creation, editing, and analysis of professional-grade Excel spreadsheets with dynamic formulas and industry-standard formatting.
Accelerates data processing workflows using the Polars DataFrame library for lightning-fast, memory-efficient analysis and pipeline optimization.
Deploys and manages advanced smart home perception layers including NVR, facial recognition, and local voice processing pipelines.
Decomposes mining stock-to-metal price ratios into fundamental drivers like AISC, leverage, and valuation multiples using automated financial data extraction.
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