Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Provides structured patterns and best practices for crafting reliable system prompts for AI agents.
Generates high-quality AI videos using a unified interface for state-of-the-art models like Google Veo, OpenAI Sora, and Kling.
Architect sophisticated LLM applications using LangChain's agents, memory systems, and complex chain patterns.
Builds sophisticated Retrieval-Augmented Generation systems to ground LLM responses with external knowledge and semantic search.
Develops and manages sophisticated LLM agents within the Treasure Data ecosystem using a YAML-based configuration workflow.
Enforces strict Julia coding standards and import rules for high-performance multiomic analysis and biological data integration.
Retrieves and analyzes South Korean corporate disclosures, financial statements, and shareholder reports via the OpenDART REST API.
Automates the construction of complex OrcaFlex offshore engineering models using a modular component assembly approach and pre-validated templates.
Optimizes R code through professional profiling, benchmarking, and implementation of high-performance backend patterns.
Provides expert guidance and implementation patterns for building robust, CRAN-compliant R packages.
Searches and downloads arXiv paper source code and LaTeX files for scientific research and analysis.
Accesses the NASA Astrophysics Data System (ADS) to search for literature, retrieve BibTeX citations, and track paper metadata.
Enforces professional R coding standards, naming conventions, and Tidyverse-aligned function design patterns.
Facilitates methodologically rigorous ML and AI benchmarking experiments using xetrack and DuckDB.
Manages machine learning experiment versioning and reproducibility using Git, DVC, and xetrack.
Executes Python scripts and manages local Anaconda environments with integrated support for organized file structures and Chinese language visualization.
Simplifies scientific data analysis by managing labeled multidimensional arrays with Xarray's powerful indexing and metadata features.
Performs advanced Bayesian statistical modeling and causal inference using the brms and Stan ecosystem in R.
Generates and optimizes high-quality prompts for modern large language models using advanced techniques like chain-of-thought, few-shot learning, and structured formatting.
Evaluates AI vendor proposals and solutions through a structured framework to mitigate risks, analyze pricing models, and guide strategic build-versus-buy decisions.
Implements Anthropic's official prompt engineering techniques to generate, optimize, and refine prompts for high-performance Claude AI interactions.
Builds production-grade Python agents using Pydantic for strict type validation and dependency injection.
Standardizes the auditing of planning documents for the Mycelia multiomics platform by cross-referencing source code, tests, and infrastructure.
Standardizes the integration, citation, and testing of external bioinformatics tools within the Mycelia multiomic framework.
Optimizes Mycelia multiomic analysis workflows for High Performance Computing (HPC) environments and SLURM workload managers.
Routes AI requests to various LLM providers including OpenAI, Grok, Groq, and DeepSeek using the SwiftOpenAI-CLI agent mode.
Guides and routes LLM-related development tasks toward specialized patterns for prompt engineering, RAG, fine-tuning, and model optimization.
Builds sophisticated LLM applications using LangChain patterns for autonomous agents, memory management, and complex workflow chains.
Transforms raw analytical data into persuasive narratives and executive-ready presentations using proven storytelling frameworks.
Synchronizes MetaTrader 5 and Python environments to automate market data exports and translate MQL5 indicators into validated Python code.
Scroll for more results...