Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Generates cinematic video transitions and morphing animations between two keyframe images using Google’s Veo 3.1 via fal.ai.
Queries the Open Targets Platform to identify and prioritize therapeutic drug targets using genetic and clinical data.
Calculates comprehensive financial risk metrics including VaR, CVaR, Sharpe, and Sortino ratios for quantitative portfolio management.
Detects hardware capabilities and provides optimized computational strategies for resource-intensive scientific tasks.
Generates testable, evidence-based scientific hypotheses and experimental designs across multiple research domains.
Evaluates research rigor and methodology to assess the validity of scientific claims and experimental designs.
Orchestrates end-to-end MLOps pipelines from data ingestion and preparation to model training, validation, and production deployment.
Generates professional, evidence-based clinical decision support documents and pharmaceutical cohort analyses in publication-ready LaTeX format.
Implements robust hybrid search systems by combining vector similarity and keyword-based retrieval for enhanced RAG performance.
Queries the Reactome database to perform biological pathway analysis, gene enrichment, and molecular interaction mapping for systems biology research.
Implements high-performance similarity search and vector database patterns for AI-driven applications.
Converts diverse file formats and office documents into clean, LLM-ready Markdown for improved AI processing.
Conducts systematic, multi-database literature reviews and meta-analyses with verified academic citations and professional PDF output.
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.
Calculates comprehensive portfolio risk metrics and performance indicators for quantitative trading strategies.
Designs and implements sophisticated LLM applications using LangChain 1.x and LangGraph for advanced agent orchestration and state management.
Builds robust, production-grade backtesting systems to validate trading strategies while eliminating common statistical biases.
Builds and automates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Builds robust Retrieval-Augmented Generation systems using vector databases, semantic search, and advanced retrieval patterns for LLM applications.
Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for efficient AI applications.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Enforces reproducible research and academic writing standards for Quarto and RMarkdown documents to eliminate generic AI-generated content.
Implements and trains autonomous agents using nine specialized reinforcement learning algorithms for self-improving behavior.
Train, deploy, and manage distributed neural networks across sandboxed E2B environments using multiple architectures and federated learning.
Analyzes US fiscal deficit expansion and Treasury risk scenarios during periods of rising unemployment and high GDP growth.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production environments.
Facilitates direct interaction with OpenAI GPT models through a command-line interface within the Claude environment.
Optimizes embedding model selection and chunking strategies to improve semantic search and RAG application performance.
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