Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Calculates gross margin proxies for gold and silver miners to evaluate industry profitability and historical valuation cycles.
Analyzes asset volatility using normalized ATR% to identify high-risk 'squeeze' regimes and provide actionable risk management adjustments.
Optimizes semantic search and RAG applications by selecting, implementing, and fine-tuning high-performance embedding models and chunking strategies.
Develops and manages reactive Python notebooks that function as pure-code files, interactive data apps, and reproducible scripts.
Implements high-performance similarity search and vector database patterns for AI-driven applications.
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Automates end-to-end scientific research workflows from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Automates complex biomedical research tasks including drug discovery, genomics analysis, and CRISPR screening design using an autonomous AI agent framework.
Integrates Claude with the DNAnexus cloud platform to build genomic apps, manage biomedical data, and automate bioinformatics workflows using the dxpy SDK.
Access and analyze comprehensive pharmaceutical data from DrugBank for drug discovery, pharmacology research, and chemical property analysis.
Queries and interprets NCBI ClinVar data to identify genetic variant clinical significance and pathogenicity.
Combines vector similarity and keyword-based search to optimize retrieval accuracy for RAG systems and search engines.
Implements advanced prompt engineering techniques to maximize LLM reliability, reasoning capabilities, and structured output quality.
Manages complex Excel workbooks with automated formula recalculation, professional financial modeling standards, and deep data analysis capabilities.
Implements advanced prompt engineering techniques to optimize LLM performance, reliability, and structured output in production environments.
Implements sophisticated autonomous agent architectures and workflow patterns using the Vercel AI SDK.
Designs and implements sophisticated LLM applications using LangChain's framework for agents, memory, and complex workflows.
Implements high-performance Retrieval Augmented Generation (RAG) pipelines including document chunking, vector database integration, and semantic search.
Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and systematic benchmarking.
Builds robust AI-powered applications using advanced prompt engineering, RAG patterns, and multi-provider LLM integrations.
Implements and optimizes advanced search strategies including semantic, hybrid, and reranking for high-performance RAG systems.
Extracts text, tables, and metadata from PDF, DOCX, and HTML documents to power RAG pipelines and data processing workflows.
Integrates ElevenLabs Scribe v1 for high-accuracy speech-to-text transcription across 99 languages with speaker diarization.
Streamlines the integration and testing of Gemma 3 270M models within the Claude Code environment.
Implements production-ready RAG pipelines and advanced retrieval strategies using LlamaIndex templates and scripts.
Architects scalable AI memory systems with optimized retention, storage backends, and multi-level context patterns.
Implements and benchmarks advanced document chunking strategies to optimize retrieval performance and context preservation in RAG pipelines.
Automates the discovery and retrieval of the latest research papers from arXiv across multiple scientific categories.
Diagnoses and fixes machine learning training issues including loss plateaus, gradient instabilities, and convergence failures.
Automates the creation of standardized Climpt agent directories and configuration files to accelerate AI agent development.
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