Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Optimizes vector embedding selection and text chunking strategies for production-grade RAG and semantic search applications.
Builds sophisticated Retrieval-Augmented Generation systems using vector databases, semantic search, and advanced document processing patterns.
Composes complex dynamical systems and resource sharers using categorical colimits and operad algebra.
Builds and executes LLM-powered data processing pipelines for unstructured document analysis using DocETL and Claude Haiku.
Evaluates and optimizes RAG system performance through comprehensive retrieval, generation, and latency metrics.
Analyzes and optimizes Retrieval-Augmented Generation (RAG) pipelines for performance, accuracy, and production readiness.
Builds and deploys robust machine learning models, data pipelines, and intelligent LLM applications using Python and industry-standard frameworks.
Generates production-grade Retrieval-Augmented Generation (RAG) pipeline boilerplate with industry best practices.
Designs adaptive user-facing agent experts to create personalized product experiences and dynamic UX.
Optimizes large-scale Mixture-of-Experts (MoE) model training with enterprise-grade reinforcement learning features and low-precision quantization.
Optimizes AI responses using advanced prompting techniques like chain-of-thought, few-shot learning, and structured system designs.
Provides comprehensive guidance and implementation patterns for data science, machine learning engineering, and AI application development.
Evaluates athlete health signals and training load to provide conservative pre-run activity recommendations.
Manages the discovery, safety guardrails, and shared contracts for Run-Smart AI coaching skills.
Builds sophisticated, responsive, and interactive data visualizations in Svelte using unopinionated building blocks and motion primitives.
Standardizes machine learning experiment management using Hydra and OmegaConf configuration patterns.
Automates comprehensive data center investment analysis by orchestrating parallel domain research agents and synthesizing cross-functional risk assessments.
Implements production-ready architectural patterns and scalable designs for enterprise LangChain applications.
Automates the transfer of HuggingFace models to RunPod Network Volumes via Google Colab to minimize GPU billing costs.
Optimizes RAG pipeline performance by recommending tailored document chunking strategies based on content type and embedding models.
Explains machine learning model predictions and feature importance using mathematically grounded Shapley values and high-impact visualizations.
Creates, modifies, and analyzes professional Excel spreadsheets with automated formula recalculation and industry-standard financial formatting.
Empowers protein engineering and biological research through state-of-the-art ESM3 generative models and ESM C embeddings.
Queries and analyzes the OpenAlex database to search scholarly literature, track citations, and perform bibliometric analysis.
Trains and deploys complex neural network architectures within distributed E2B sandbox environments using Flow Nexus.
Provides a unified interface for rapid bioinformatics queries across 20+ genomic databases including Ensembl, AlphaFold, and NCBI.
Automates professional Excel spreadsheet creation, financial modeling, and data analysis with error-free formula verification.
Automates end-to-end scientific research workflows from initial data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Enables programmatic PDF manipulation, data extraction, and document creation using professional Python and command-line tools.
Performs high-performance genomic interval analysis, overlap detection, and machine learning tokenization using Rust-powered tools.
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