Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Implements sophisticated LLM-as-judge methodologies to evaluate and compare AI model outputs with high reliability and bias mitigation.
Standardizes tensor mathematics for BayesFlow extensions using Keras 3's backend-agnostic operations to ensure compatibility across PyTorch, JAX, and TensorFlow.
Provides AI-ready datasets and benchmarks for drug discovery, including ADME, toxicity, and molecular generation tasks.
Streamlines computational molecular biology tasks including sequence analysis, biological file parsing, and genomic database integration.
Architects sophisticated multi-agent systems using proven design patterns, orchestration strategies, and performance evaluation frameworks.
Standardizes backend-agnostic tensor math for BayesFlow extensions using the Keras 3 functional API.
Streamlines the creation, modification, and debugging of BayesFlow 2.x simulators for simulation-based inference.
Coordinates multiple specialized AI agents to solve complex tasks through collaborative, competitive, and analytical workflows.
Optimizes LLM API expenses through intelligent model routing, budget tracking, and efficient caching strategies.
Manages and maintains GPU-accelerated semantic search indexes for local codebases within Claude Code.
Configures and authenticates the Groq SDK and CLI for Node.js and Python projects.
Manages complex relationships and structured data entities across multiple domains using GraphRAG memory.
Simplifies computational molecular biology by providing tools for sequence analysis, structural bioinformatics, and biological database integration.
Transforms external RDF context into formal Belief-Desire-Intention (BDI) models to enable rational agency and explainable reasoning in AI agents.
Provides foundational expertise in context engineering to optimize AI agent performance and manage token usage effectively.
Designs and implements sophisticated multi-agent systems using supervisor, swarm, and hierarchical patterns to solve complex context management challenges.
Architects and optimizes LLM-powered applications using structured methodologies, pipeline design, and agent-assisted development patterns.
Architects and debugs complex OctoMesh ETL pipelines using YAML-defined data flows and transformations.
Automates the creation of advanced Excel pivot tables, calculated fields, and interactive dashboards for streamlined data analysis.
Automates data cleaning, transformation, and validation to streamline the creation of production-ready machine learning datasets.
Transforms experimental results into publication-ready LaTeX academic papers following professional research standards and style guides.
Calculates and models startup valuations using venture capital methods, comparable analysis, and pre/post-money mechanics.
Constructs and analyzes complex leveraged buyout models including debt schedules, return metrics, and sensitivity tables.
Builds comprehensive, bottom-up earnings models and detailed financial analysis frameworks for professional investment research.
Manipulates, formats, and validates professional-grade Excel and tabular data files using industry-standard conventions.
Manages comprehensive spreadsheet operations including professional formatting, financial modeling, and automated formula validation.
Builds defensible TAM/SAM/SOM market models with external validation and sensitivity testing for startup fundraising.
Generates valid BioLM Protocol YAML files for protein engineering and bioinformatics pipelines.
Implements professional MLflow patterns for experiment tracking, model registry management, and reproducible ML pipelines.
Implements expert annotation pipeline designs, quality assurance protocols, and scalable labeling systems for machine learning workflows.
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