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。
Discovers and integrates over 170 Model Context Protocol (MCP) servers on-demand to provide specialized capabilities for databases, cloud services, and external APIs.
Optimizes database interactions by implementing secure, performant query patterns and preventing common pitfalls like SQL injection and N+1 overhead.
Guides the process of creating, structuring, and packaging new skills to extend Claude's capabilities.
Executes evidence-based workflows to audit, implement, and validate user interface improvements.
Automates the capture and documentation of session context to ensure seamless continuity between AI agent interactions.
Provides instant access to Unreal Engine 5 Python API definitions and validation tools directly within your coding environment.
Creates distinctive, production-grade frontend interfaces with high design quality, avoiding generic AI aesthetics.
Conducts structured, multi-step reasoning for complex technical challenges using an expanded thinking token budget and hypothesis-driven analysis.
Guides the creation of effective Claude Code Skills using a structured framework and best practices.
Reviews workscript node implementations for compliance with development blueprints, best practices, and metadata consistency.
Design and review resilient distributed systems and microservices using industry-standard patterns for fault tolerance and consistency.
Generates production-grade Vitest and React Testing Library tests for Dify frontend components, hooks, and utilities.
Automates web browsers for end-to-end testing, UI verification, and screen capture using the Playwright framework.
Employs a rigorous, evidence-based approach to identify and resolve root causes of software bugs and test failures.
Guides developers in selecting and implementing the optimal Go CLI framework for Kubernetes-native applications based on technical requirements.
Writes and updates PyTorch-compliant docstrings using specific Sphinx, reStructuredText, and LaTeX conventions.
Guides developers in selecting the optimal Claude Code artifact type—Skill, Command, Subagent, or Hook—based on specific automation and reasoning requirements.
Manages structured interface specifications and API documentation with automated numbering and AsciiDoc formatting.
Builds sophisticated LLM applications using the LangChain framework with agents, memory systems, and complex workflows.
Implements professional backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design for scalable systems.
Builds mobile-first, responsive layouts using fluid containers and standardized breakpoints to ensure seamless adaptation across all device types.
Scans and reports all planning-related components, agents, and infrastructure across AI marketplace bundles.
Guides Clojure and ClojureScript development through a REPL-driven workflow, ensuring high-quality code through structural editing and functional programming principles.
Synthesizes diverse technical perspectives into unified architectural decisions using the F-thread multi-agent fusion pattern.
Configures and optimizes Nx monorepo architectures to streamline development and automate build caching.
Generates a comprehensive project planning hierarchy including roadmaps, user stories, backlogs, epics, and tasks from business requirements.
Coordinates specialized design skills to create comprehensive, conflict-free software design documents.
Synchronizes implementation workflows with Linear issues through automated claiming, validation, and closure documentation.
Generates and updates high-quality docstrings for PyTorch functions following strict Sphinx and reStructuredText conventions.
Automates the management and monitoring of macOS launchd agents for seamless dotfiles synchronization.
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