Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Enforces strict Julia coding standards and import rules for high-performance multiomic analysis and biological data integration.
Implements Anthropic's official prompt engineering techniques to generate, optimize, and refine prompts for high-performance Claude AI interactions.
Architects scalable batch processing systems designed to handle high-volume AI workloads and data pipelines efficiently.
Evaluates AI vendor proposals and solutions through a structured framework to mitigate risks, analyze pricing models, and guide strategic build-versus-buy decisions.
Automates iterative code optimization by running autonomous experiments to improve specific performance metrics.
Orchestrates multi-agent AI swarms for parallel task execution and intelligent coordination using adaptive topologies.
Accesses the NASA Astrophysics Data System (ADS) to search for literature, retrieve BibTeX citations, and track paper metadata.
Builds provider-agnostic, type-safe AI applications with streaming, tool calling, and structured output.
Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for high-scale production search.
Performs advanced Bayesian statistical modeling and causal inference using the brms and Stan ecosystem in R.
Provides expert guidance and implementation patterns for building robust, CRAN-compliant R packages.
Integrates high-quality text-to-speech and speech-to-text capabilities into Claude using fal.ai audio models.
Creates, edits, and analyzes complex Excel workbooks with professional financial standards and dynamic formula support.
Calculates advanced portfolio risk metrics including VaR, CVaR, and Sharpe ratios to monitor and manage financial exposure.
Automates structured data extraction from documents using the Azure AI Document Intelligence SDK for Java.
Transforms complex business data into actionable strategic insights and real-time dashboards using advanced analytics and predictive modeling.
Integrates Azure OpenAI and OpenAI services into .NET applications for chat, embeddings, and multi-modal generative AI.
Optimizes LLM performance by strategically managing token limits, summarization, and context prioritization.
Architects sophisticated memory systems for AI agents to ensure consistent, contextually aware interactions across long-term sessions.
Analyzes the Ark (Agentic Resource Kit) codebase to provide architectural insights, source code examination, and implementation guidance for agentic applications.
Optimizes LLM interactions by designing structured system prompts, context management strategies, and systematic evaluation frameworks.
Routes PyTorch engineering challenges to specialized domain experts based on specific symptoms, performance bottlenecks, and implementation requirements.
Routes machine learning workflows to specialized guides for deployment, optimization, MLOps tooling, and production observability.
Streamlines the analysis, transformation, and visualization of Excel spreadsheets using advanced Python libraries within Claude Code.
Provides expert guidance for writing high-performance Stan probabilistic programming models and integrating them with R or Python workflows.
Generates high-quality AI music and lyrics using the Suno API for professional audio production and creative workflows.
Guides and routes LLM-related development tasks toward specialized patterns for prompt engineering, RAG, fine-tuning, and model optimization.
Routes reinforcement learning problems to specialized algorithms and implementation strategies based on task characteristics and environmental constraints.
Optimizes Claude's outputs and debugging capabilities using Anthropic's official prompt engineering best practices and techniques.
Automates end-to-end scientific research workflows from initial data analysis and hypothesis generation to producing publication-ready LaTeX manuscripts.
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