Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Integrates real-time xAI Grok sentiment with professional financial data APIs for comprehensive market and sentiment analysis.
Accesses the NIH Metabolomics Workbench REST API to retrieve comprehensive metabolomics study data, metabolite structures, and standardized RefMet nomenclature.
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.
Integrates real-time xAI Grok sentiment with major financial APIs to provide a holistic view of market trends, price action, and fundamental health.
Implement comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and benchmarking.
Builds custom plugins for the Semantik search engine to handle document ingestion, embeddings, and AI-powered reranking.
Facilitates the development and migration of Python-based AI agents using LangGraph v1 and LangChain v1 standards.
Implements a persistent knowledge graph memory system for Auto-Claude to retain context and learn patterns across development sessions.
Persists project knowledge and error-solution patterns across autonomous coding sessions to prevent repetitive mistakes.
Integrates Google’s Gemini AI capabilities into Claude Code for multimodal tasks, advanced code analysis, and automated tool execution.
Persists knowledge and learned patterns across autonomous coding sessions using Graphiti-based memory management.
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.
Configures optimal LLM parameters and reasoning strategies based on evidence-backed research for specialized technical tasks.
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.
Generates and refines structured physics analysis specifications using standardized templates and domain-specific best practices.
Optimizes complex multi-objective and constrained problems using state-of-the-art evolutionary algorithms and decision-making tools.
Manages persistent cross-session memory for autonomous coding tasks using Graphiti integration.
Integrates persistent episodic and short-term memory into Amazon Bedrock agents to maintain user context and learn from interactions across sessions.
Accelerates reinforcement learning workflows with high-performance environment vectorization and optimized PPO training.
Simplifies gene data retrieval and annotation by querying the NCBI Gene database via E-utilities and Datasets APIs.
Performs comprehensive single-cell RNA-seq analysis workflows including quality control, clustering, and visualization.
Implement deep generative models for single-cell omics analysis, enabling batch correction, multimodal integration, and probabilistic differential expression.
Automates electronic lab notebook workflows including data uploads, notebook backups, and programmatic entry management via the LabArchives REST API.
Integrates real-time financial market data including stock quotes, forex rates, crypto prices, and company fundamentals via the FinnHub API.
Ensures deterministic results in Python research code by centralizing configurations, controlling randomness, and recording run metadata.
Implement a multi-layered persistent memory architecture for AI agents to enable cross-session learning and long-term context retention.
Implements advanced Gemini 3 Pro capabilities including function calling, structured JSON outputs, and cost-efficient context caching for production AI applications.
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