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。
Streamlines the creation and orchestration of specialized Claude subagents for autonomous, multi-agent developer workflows.
Streamlines Python development with an ultra-fast, Rust-based package manager and virtual environment orchestrator.
Simplifies the creation and review of Bayesian models using BUGS and JAGS declarative syntax and precision parameterization.
Implements sophisticated TypeScript type logic including generics, conditional types, and mapped types to ensure enterprise-grade compile-time safety.
Generates specialized subagents and adapts development workflows based on project-specific technology stacks and development phases.
Builds robust Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground AI responses in proprietary knowledge.
Configures comprehensive Prometheus monitoring systems for robust infrastructure and application metric collection.
Generates high-quality Claude Skills following Anthropic best practices for structure, progressive disclosure, and security.
Dispatches a specialized subagent to review code implementations against requirements and catch technical issues before they reach production.
Implements industry-standard backend design patterns like Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to ensure system maintainability.
Upgrades React applications to the latest versions, migrates class components to functional hooks, and implements modern concurrent features.
Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to establish measurable reliability targets.
Automates the creation and maintenance of secure, feature-rich administrative dashboards using modern UI components and role-based access control.
Automates the migration of Flow SDK activity functions into Output SDK step definitions with typed Zod schemas.
Orchestrates multi-session development projects by maintaining structured progress tracking and context handoffs between Claude sessions.
Refines raw concepts into detailed project designs through interactive Socratic dialogue and structured requirement gathering.
Enhances shell script quality and reliability by implementing standardized ShellCheck configurations and automated linting workflows.
Builds and standardizes production-ready, reusable Terraform modules for AWS, Azure, and GCP infrastructure.
Calculates deterministic completeness scores for software specifications using weighted category and priority analysis.
Designs and optimizes high-performance NoSQL schemas for MongoDB, DynamoDB, and other document-based databases using industry best practices.
Extracts text, tables, and metadata from PDF, DOCX, and HTML documents to power RAG pipelines and data processing workflows.
Orchestrates parallel multi-agent workflows to decompose and execute complex coding tasks through autonomous dependency-mapped waves.
Implements systematic debugging techniques and profiling tools to identify and resolve complex software bugs across any technology stack.
Automates the generation of standardized changelogs and release notes from commit history and pull requests.
Automates the software development lifecycle from specification to implementation using a structured, autonomous agent workflow.
Implements robust REST and GraphQL architectures with industry-standard design patterns and best practices.
Manages Git worktrees for seamless parallel development across multiple feature branches and isolated environments.
Implements high-performance SQLite patterns in Go applications using best practices for drivers, migrations, and concurrency.
Implements professional documentation systems by treating technical content as version-controlled code with automated validation and deployment.
Optimizes Python code for speed and memory efficiency using advanced profiling tools and industry-standard best practices.
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