Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Provides a clean, Pythonic interface for local LLM inference, chat completions, and model management using the official Ollama library.
Designs and implements sophisticated multi-agent systems using supervisor, swarm, and hierarchical patterns to solve complex context management challenges.
Diagnoses and mitigates AI agent performance failures caused by long-context attention loss, poisoning, and informational clash.
Builds high-quality fine-tuning datasets from literary works to train AI models in specific authorial voices and writing styles.
Optimizes LLM fine-tuning via advanced QLoRA patterns, hyperparameter tuning, and memory-efficient implementation strategies.
Guides the development of high-performance ML and AI applications in Rust using memory-efficient patterns and GPU acceleration.
Optimizes vector database performance by balancing search latency, recall accuracy, and memory footprint.
Retrieves nucleotide sequences, raw sequencing reads, and metadata from the European Nucleotide Archive for genomics research.
Architects sophisticated LLM applications using LangChain patterns for agents, memory management, and complex workflow orchestration.
Creates, edits, and analyzes professional Excel workbooks with dynamic formulas, automated recalculation, and industry-standard formatting.
Manages ComfyUI instances for node-based Stable Diffusion image generation with automated GPU configuration and model management.
Manages FiftyOne dataset visualization and curation environments using Podman Quadlet containers with integrated MongoDB sidecars.
Enforces E8 architecture standards and QIG purity protocols within the Pantheon development ecosystem.
Facilitates the use of local Ollama models with the official OpenAI Python library and compatible AI orchestration frameworks.
Manages multi-instance JupyterLab environments with hardware-accelerated GPU support via Podman Quadlet.
Accesses AI-ready drug discovery datasets and benchmarks for therapeutic machine learning and pharmacological prediction.
Manages local LLM inference using Ollama and Podman Quadlet with full GPU acceleration support.
Streamlines computational molecular biology tasks including sequence analysis, biological file parsing, and genomic database integration.
Provides AI-ready datasets and benchmarks for drug discovery, including ADME, toxicity, and molecular generation tasks.
Manages LocalAI services via Podman to provide OpenAI-compatible local model inference with full GPU acceleration.
Facilitates direct REST API operations for Ollama using Python to manage models and execute generation tasks.
Automates protein testing and validation through a cloud-based laboratory platform for accelerated biotechnological research and sequence optimization.
Automates the end-to-end scientific research pipeline from hypothesis generation and data analysis to publication-ready LaTeX manuscripts.
Automates the creation of robust data ingestion providers using standardized patterns for registry mapping, storage abstraction, and metadata tracking.
Manages Open WebUI instances via Podman to provide a browser-based chat interface for Ollama LLM models.
Automates protein testing and validation through a cloud laboratory platform for high-throughput protein design workflows.
Systematically assesses medical research proposals to quantify their impact on patient outcomes, clinical decision-making, and healthcare systems.
Builds and validates sophisticated Bayesian probabilistic models using the PyMC library for advanced statistical inference.
Provides programmatic access to global statistical data for demographic, economic, and environmental research.
Generates structured, evidence-driven Product Requirements Documents (PRDs) specifically tailored for Machine Learning workflows and experiments.
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