Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Enforces a strict output-first verification protocol for data science and machine learning implementation tasks.
Orchestrates Recursive Language Models (RLM) to process and analyze massive datasets and files exceeding 10MB using Rust and WASM.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Designs and implements sophisticated LLM applications using the LangChain framework for complex AI workflows.
Implements fully managed Retrieval-Augmented Generation (RAG) using the Google Gemini File Search API for advanced document Q&A.
Automates the creation, editing, and analysis of professional Excel workbooks with formula persistence and financial modeling standards.
Performs complex numerical analysis and scientific computing using MATLAB and GNU Octave syntax for matrix operations and data visualization.
Integrates Amazon Bedrock Runtime APIs for unified model inference, streaming, and safety guardrails across multiple foundation models.
Builds robust Retrieval-Augmented Generation (RAG) systems to ground LLM applications with external knowledge and proprietary data.
Build robust Retrieval-Augmented Generation systems using vector databases and semantic search patterns to ground LLM responses in factual data.
Integrates real-time xAI Grok sentiment with professional financial data APIs for comprehensive market and sentiment analysis.
Implements advanced Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search to ground LLM responses in external knowledge.
Architects and implements autonomous AI agent systems using sophisticated planning, memory, and tool-integration strategies.
Conducts systematic, high-rigor research and data synthesis to transform raw information into actionable insights and structured reports.
Integrates real-time xAI Grok sentiment with major financial APIs to provide a holistic view of market trends, price action, and fundamental health.
Produces comprehensive, well-sourced research reports using an iterative diffusion-based refinement methodology.
Builds custom plugins for the Semantik search engine to handle document ingestion, embeddings, and AI-powered reranking.
Automates the creation of standardized Climpt agent directories and configuration files to accelerate AI agent development.
Diagnoses and fixes machine learning training issues including loss plateaus, gradient instabilities, and convergence failures.
Implements a persistent knowledge graph memory system for Auto-Claude to retain context and learn patterns across development sessions.
Optimizes Rcpp and C++ extensions by enforcing memory safety, const-correctness, and high-performance vectorized patterns.
Implements robust Bayesian survival analysis models including Weibull and Cox-like piecewise hazards with censoring support.
Streamlines machine learning data preprocessing in R using standardized Tidymodels recipes patterns.
Automates the discovery and retrieval of the latest research papers from arXiv across multiple scientific categories.
Persists project knowledge and error-solution patterns across autonomous coding sessions to prevent repetitive mistakes.
Simplifies the selection and optimization of xAI Grok models for development tasks through detailed capability and cost analysis.
Builds and manages fully managed RAG solutions using Amazon Bedrock for semantic search and document-based AI applications.
Builds robust AI-powered applications using advanced prompt engineering, RAG patterns, and multi-provider LLM integrations.
Design and implement multi-layered memory architectures for AI agents to ensure long-term state persistence and entity consistency.
Persists learned solutions and error patterns across autonomous coding sessions to create a self-healing development environment.
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