Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Facilitates the programmatic execution and discovery of Synapse plugins across local and distributed environments.
Integrates Google's Gemini models into the Claude Code workflow to handle massive context windows and multimodal file processing.
Leverages Google Gemini API to process and analyze audio, video, images, and documents directly within Claude.
Streamlines the creation, configuration, and management of diverse datasets on the Hugging Face Hub directly from your development environment.
Architects high-impact system prompts to define agent identity, rules, and behavior patterns for custom AI assistants.
Analyzes and classifies the emotional tone of text data into positive, negative, or neutral categories for rapid opinion mining.
Synchronizes and caches comprehensive Charles Schwab market data, including account status, real-time quotes, and option chains for trading agents.
Orchestrates AI execution phases to ensure deterministic outputs and efficient resource management within AGI environments.
Builds robust Retrieval-Augmented Generation (RAG) pipelines for grounded AI responses using vector stores and embeddings.
Enables advanced molecular analysis, chemical property calculation, and 3D coordinate generation using the RDKit toolkit.
Downloads, parses, and summarizes ArXiv research papers by analyzing their raw LaTeX source code for deep technical insights.
Enables seamless querying and extraction of datasets from the Cook County Open Data Portal using SODA and SoQL.
Facilitates seamless querying and downloading of City of Chicago municipal datasets using the Socrata Open Data API and SoQL.
Retrieves real-time quotes, historical OHLCV data, and comprehensive option chains from 25+ Indian brokers using the OpenAlgo Python SDK.
Optimizes large language models to communicate natively through the Slipstream inter-agent protocol using efficient finetuning workflows.
Streamlines the retrieval of demographic, economic, and housing data from the US Census Bureau API.
Streamlines AILANG programming for AI agents by providing real-time syntax rules, capability-based execution, and a searchable library of 90+ code examples.
Architects and implements robust ML feature stores using Feast, Great Expectations, and DVC for production-grade machine learning pipelines.
Builds production-ready AI applications including RAG systems, vector search, and multi-provider LLM orchestrations.
Orchestrates complex multi-agent workflows and distributed AI architectures for specialized task execution.
Implements advanced large language model chat completions and conversational context management using the z-ai-web-dev-sdk.
Applies structured self-analysis and governance protocols to evaluate and validate AI decision-making processes.
Resolves conflicts between competing ethical and technical values through a structured pluralistic analysis framework.
Automates professional spreadsheet creation, data analysis, and financial modeling with rigorous formula integrity and industry-standard formatting.
Deploy machine learning models into production environments using robust APIs, containerization, and MLOps workflows.
Discover hidden structures and anomalies in unlabeled data using advanced unsupervised learning algorithms and dimensionality reduction.
Automates deep academic research using the Perplexity Deep Research API to generate cited, evidence-based reports.
Accesses the Open Targets Platform to identify therapeutic targets, analyze disease associations, and evaluate drug tractability.
Refines and compresses LLM prompts to minimize token usage and maximize response quality.
Integrates with LabArchives Electronic Lab Notebook (ELN) via REST API to automate research documentation, data uploads, and notebook management.
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