Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Reads, writes, and manipulates biological sequence data formats like FASTA, FASTQ, and GenBank.
Manages, versions, and tests Amazon Bedrock prompt templates to streamline enterprise-grade prompt engineering workflows.
Builds and manages autonomous AI agents on Amazon Bedrock using foundation models, action groups, and knowledge bases.
Creates, edits, and analyzes professional Excel workbooks with dynamic formulas, automated recalculation, and industry-standard formatting.
Generates and validates recursive string diagrams using category theory primitives for complex system modeling.
Integrates Google's Gemini 3 Pro API and SDK into applications for advanced reasoning, streaming chat, and large-context processing.
Creates, optimizes, and debugs high-performing, production-ready prompts for Claude 4, GLM 4.7, and Gemini 3 using evidence-based techniques.
Streamlines the creation, versioning, and lifecycle management of Amazon Bedrock prompt templates with variable substitution and A/B testing.
Combines vector similarity and keyword-based search to optimize retrieval accuracy in RAG systems and search engines.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and comparative benchmarking.
Queries and analyzes personal book libraries from Goodreads CSV exports to provide reading insights and statistics.
Implements high-performance similarity search and vector database patterns for semantic retrieval and RAG systems.
Optimizes Large Language Model performance through advanced reasoning patterns, few-shot learning, and structured prompt templates.
Implements modern AI patterns including streaming responses, tool calling, and structured outputs using the Vercel AI SDK.
Calculates comprehensive portfolio risk metrics and performance indicators for quantitative trading strategies and investment management.
Prevents Jupyter notebook hangs by explicitly managing CuPy GPU memory pools and Python garbage collection.
Builds production-grade backtesting systems for trading strategies while mitigating common biases and accounting for realistic market costs.
Builds sophisticated LLM applications using the LangChain framework to implement autonomous agents, complex workflows, and persistent memory.
Optimizes vector database indexes for production performance by balancing search latency, recall accuracy, and memory consumption.
Builds production-grade Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search for LLM applications.
Plans data science and hardware optimization experiments by analyzing historical project logs and domain-specific configurations.
Streamlines the development of AI-powered features within the Moodle LMS using the official AI Subsystem for version 4.5 and above.
Builds and automates end-to-end MLOps pipelines from data ingestion and preparation through model training, validation, and production deployment.
Optimizes embedding model selection and chunking strategies to improve semantic search and RAG application accuracy.
Transforms complex datasets into persuasive narratives and executive-ready presentations using proven storytelling frameworks.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Builds production-ready Apache Airflow DAGs using industry-standard patterns for orchestration and data engineering.
Analyzes and extracts deep insights from images, videos, and audio files using advanced AI models.
Streamlines building high-performance OLAP applications using DuckDB, MotherDuck, and Parquet in Node.js and TypeScript.
Generates complex AI-driven video compositions and media pipelines using the Renku CLI.
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