Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Builds and deploys production-ready generative AI agents using Vertex AI, Gemini models, and Google Cloud infrastructure.
Facilitates the design, implementation, and management of structured multi-agent teams using the OpenClaw framework.
Optimizes LLM prompts to reduce token consumption, lower API costs, and improve response performance.
Builds autonomous AI agents capable of tool calling and multi-step decision-making using the LangChain framework.
Provides comprehensive financial frameworks for modeling, valuation, corporate finance decisions, and advanced statement analysis.
Configures and manages AI model selection, provider gateways, and failover logic for the OpenClaw self-hosted AI gateway.
Generates real-world evidence from observational data using advanced R-based causal inference and target trial emulation techniques.
Enables high-speed multi-modal analysis and document summarization using Gemini Flash within the Claude Code environment.
Builds, fits, and validates sophisticated Bayesian statistical models using PyMC's modern probabilistic programming interface.
Extracts and validates federated taxonomy tags from text to enable multi-hop graph traversal and structured memory storage.
Extracts structured data from complex PDFs, scanned documents, and multi-column layouts using the advanced Docling engine and Granite vision-language models.
Manages complex Excel workbooks with automated formula creation, financial modeling standards, and data analysis.
Automates tissue detection and tile extraction from high-resolution whole slide images for digital pathology pipelines.
Enables parallel and distributed computing for Python workflows to scale pandas, NumPy, and custom tasks across cores or clusters.
Provides a rigorous, structured framework for evaluating scientific manuscripts, grant proposals, and research methodologies using international reporting standards.
Integrates NCBI ClinVar data to interpret genetic variants, query clinical significance, and process genomic datasets.
Develops and trains Graph Neural Networks (GNNs) using the PyTorch Geometric (PyG) library for complex relational data structures.
Quantifies uncertainty in estimates by generating plausible ranges to enable more reliable data-driven decision making.
Performs advanced econometric analysis including regression modeling, panel data estimation, and causal inference for economic and financial data.
Searches the arXiv preprint repository for the latest scholarly articles in computer science, physics, mathematics, and quantitative biology.
Analyzes and designs self-sustaining systems through the lens of collective catalysis and network closure.
Streams and normalizes real-time cryptocurrency market data from over 40 exchanges for algorithmic trading and analysis.
Optimizes LLM performance through advanced prompt engineering patterns, RAG evaluation frameworks, and agentic system design.
Empowers Claude with advanced statistical modeling, experimental design, and production-grade machine learning workflows.
Provides comprehensive assistance for building, configuring, and optimizing automated crypto trading strategies using the Hummingbot framework.
Streamlines the development of data pipelines, SAP system integrations, and machine learning scenarios within the SAP Data Intelligence Cloud ecosystem.
Automates professional spreadsheet creation, financial modeling, and data analysis with rigorous formula verification and industry-standard formatting.
Optimizes AI agent behavior using structured XML system prompts, few-shot examples, and clear instruction hierarchies.
Refines probability estimates and decision-making by systematically updating beliefs as new data or evidence emerges.
Integrates high-performance inference and LoRA fine-tuning for 100+ open-source LLMs via OpenAI-compatible APIs and the firectl CLI.
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