Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Provides instant, citation-backed access to the Dungeons & Dragons 5th Edition System Reference Document for rules, spells, and mechanics.
Builds discrete-event simulation models in Python to analyze complex systems involving queues, resources, and time-based processes.
Manipulates PDF files programmatically through text extraction, document creation, and advanced file operations.
Develops, tests, and deploys machine learning models for clinical healthcare data using standardized pipelines and specialized medical architectures.
Manages local and self-hosted vector embeddings for RAG-based AI applications and semantic search.
Synchronizes project documentation with the actual codebase by identifying discrepancies and updating examples to match the current API.
Streamlines the implementation and management of Pinecone vector databases for production-grade AI and RAG applications.
Provides a systematic workflow for debugging, testing, and extending the code-forge CLI application using Rust-based build and verification patterns.
Infers gene regulatory networks from transcriptomics data using scalable GRNBoost2 and GENIE3 algorithms.
Performs advanced biological computation, sequence analysis, and programmatic access to NCBI databases using Python.
Executes complex autonomous research tasks across genomics, drug discovery, and clinical analysis using integrated biomedical databases.
Streamlines running and troubleshooting unit, integration, and database-specific tests for the DBHub project using Vitest and Testcontainers.
Streamlines computational molecular biology tasks including sequence analysis, NCBI database integration, and structural protein modeling.
Develops, simulates, and optimizes quantum circuits for execution on diverse quantum hardware and high-performance simulators.
Develops and deploys specialized machine learning models for healthcare using clinical datasets, medical coding systems, and deep learning architectures.
Simulates complex fluid dynamics using high-performance Python pseudospectral methods for Navier-Stokes and geophysical flow equations.
Streamlines code collaboration by automating Git remote configuration and review submissions for the Storj Gerrit service.
Automates PDF document manipulation including text extraction, merging, splitting, and programmatic creation.
Simulates high-performance fluid dynamics using pseudospectral methods and Python-based HPC workflows.
Provides unified access to 20+ genomic databases and analysis methods for rapid bioinformatics research and sequence analysis.
Designs, simulates, and executes quantum circuits on simulators and real quantum hardware using Google's Cirq framework.
Automates tissue detection and tile extraction from gigapixel histopathology images for computational pathology deep learning pipelines.
Predicts 3D protein-ligand binding poses using diffusion-based deep learning for structure-based drug design.
Builds process-based discrete-event simulations in Python for modeling complex systems like logistics, manufacturing, and networks.
Executes SQL queries against WordPress development databases to inspect tables, debug issues, and manage site data.
Simulates and analyzes genome-scale metabolic models using constraint-based reconstruction and analysis (COBRA) techniques.
Performs constraint-based metabolic modeling and simulation for systems biology and metabolic engineering applications.
Predicts high-accuracy 3D protein-ligand binding poses using diffusion-based deep learning for structure-based drug discovery.
Automates the generation, refinement, and testing of scientific hypotheses using data-driven insights and literature integration.
Simplifies implementation and management of Pinecone, a serverless vector database designed for high-performance AI applications and RAG systems.
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