Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Accelerates drug discovery and molecular modeling using graph neural networks and curated biological datasets within PyTorch.
Builds, evaluates, and deploys production-ready machine learning models using the industry-standard Python scikit-learn library.
Simplifies high-dimensional data visualization and preprocessing using the Uniform Manifold Approximation and Projection (UMAP) algorithm.
Optimizes large-scale N-dimensional array storage and processing using chunked, compressed formats for cloud-native scientific computing.
Generates publication-quality charts and scientific visualizations using Python's foundational plotting library.
Converts diverse file formats including PDF, Word, and images into clean, LLM-optimized Markdown documents.
Enforces a strict evidence-first protocol by requiring verifiable command output before any task can be marked as finished or successful.
Enforces a strict evidence-based workflow requiring real-time command execution and output verification before any task is marked as complete.
Enables seamless programmatic access to the RCSB Protein Data Bank for searching, retrieving, and analyzing 3D molecular structures.
Retrieves historical context, user preferences, and coding patterns from past Claude Code sessions to provide personalized assistance.
Integrates the Hugging Face Transformers library for seamless implementation of pre-trained models across NLP, vision, and audio domains.
Creates professional, publication-quality research posters in LaTeX using advanced layout systems and integrated scientific schematics.
Accesses and retrieves nucleotide sequences, raw reads, and genome assemblies from the European Nucleotide Archive for bioinformatics workflows.
Integrates with the NCBI Gene Expression Omnibus (GEO) to search, download, and analyze high-throughput functional genomics datasets.
Creates professional, publication-quality academic posters using LaTeX frameworks and AI-generated scientific schematics.
Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variant-trait associations and summary statistics.
Queries the NCBI Gene database to retrieve comprehensive genomic information, including sequences, annotations, and functional data.
Facilitates direct REST API access to the KEGG database for bioinformatics research, pathway analysis, and gene mapping.
Accesses the ZINC database of 230M+ purchasable compounds for drug discovery, molecular docking, and chemical informatics.
Access and interpret the Human Metabolome Database for metabolite identification, biomarker discovery, and clinical chemistry research.
Orchestrates complex multi-step Zapier workflows and MCP tools with persistent memory and self-learning capabilities.
Generates creative domain name ideas and performs multi-TLD availability checks to streamline your project's branding process.
Streamlines testing for Temporal workflows in Python using pytest, time-skipping, and determinism validation.
Implements systematic debugging workflows and root cause analysis techniques to identify and resolve complex software defects across any technology stack.
Implements comprehensive monitoring and distributed tracing for service mesh architectures like Istio and Linkerd.
Designs and implements robust event stores for event-sourced systems using various database technologies and architectural patterns.
Builds robust Retrieval-Augmented Generation (RAG) systems to ground LLM applications in external knowledge bases and vector databases.
Builds and automates end-to-end MLOps pipelines from data preparation and model training to validation and production deployment.
Deploys and scales Python functions, ML models, and GPU-intensive tasks on serverless cloud infrastructure with minimal configuration.
Configures and manages mutual TLS (mTLS) for secure, zero-trust service-to-service communication in cloud-native architectures.
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