AIエージェントの能力を拡張するClaudeスキルの完全なコレクションをご覧ください。
Automates lead discovery and market analysis by examining your codebase to identify high-priority target companies and personalized outreach strategies.
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.
Lists and manages all available custom workflows across project and user scopes within Claude Code.
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.
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.
Performs comprehensive code reviews for quality, security, and accessibility directly within your development workflow.
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.
Architects type-safe database schemas and high-performance PostgreSQL 18 queries using Drizzle ORM best practices.
Implements scalable backend structures using Clean Architecture, Domain-Driven Design, and Hexagonal patterns.
Configures and manages mutual TLS (mTLS) for secure, zero-trust service-to-service communication in cloud-native architectures.
Configures and optimizes Nx monorepo workspaces through structured architecture, module boundaries, and advanced CI caching strategies.
Generates concise, evidence-based medical treatment plans and clinical documentation in professional LaTeX/PDF formats.
Generates and integrates Mermaid-based charts, flowcharts, and architectural diagrams directly into markdown documentation.
Generates publication-quality scientific diagrams and neural network architectures with AI-powered quality review.
Design and implement efficient read models and materialized views from event streams for event-sourced architectures.
Implements high-performance concurrent Python applications using advanced asyncio and non-blocking patterns.
Generates comprehensive unit and integration tests for Dojo models and systems using Cairo's testing framework and cheat codes.
Implements production-grade reliability and safety standards into Bash scripts using robust error handling and defensive programming techniques.
Generates Cairo-based smart contracts for the Dojo engine to implement complex game mechanics, state modifications, and player actions.
Automates release workflows and deployment processes for Rust, macOS, Python, and Next.js applications.
Automates the generation of standardized changelogs and release notes using Conventional Commits and Semantic Versioning.
Implements ERC20 fungible tokens and ERC721 non-fungible tokens in Dojo games using the Origami library.
Reviews Dojo engine smart contracts for security, gas efficiency, and ECS architecture best practices.
Streamlines the deployment and management of Dojo engine worlds across local Katana, Sepolia testnet, and Starknet mainnet environments.
Manages world migrations, handles breaking schema changes, and facilitates Dojo Engine version upgrades.
Manages permissions, namespaces, and access control policies for Dojo engine blockchain worlds.
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