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 browser-based end-to-end testing and visual validation using Playwright and Chromium.
Orchestrates repository navigation and AI skill management through Emacs-based transient menus and ClojureScript scripting.
Develops high-quality, accessible, and responsive frontend components using modern frameworks and styling libraries.
Automatically detects project tech stacks and executes a comprehensive parallel security analysis using relevant scanners and AI subagents.
Architects scalable backend systems using Modular Monolith principles, bounded contexts, and the Hono framework.
Validates AI agent schema compliance and shared reference integrity to ensure seamless multi-agent orchestration.
Manages Model-Based Systems Engineering (MBSE) workflows and requirements traceability using the Reqvire framework.
Architects high-performance game mechanics, graphics pipelines, and multiplayer systems across Unity, Unreal, and custom engines.
Implements Chemical Organization Theory to model, simulate, and verify self-maintaining autopoietic systems through reaction-diffusion dynamics.
Provides a comprehensive inventory of git worktrees, stashes, and branches with intelligent cleanup recommendations.
Enhances the Claude Code CLI interface with a customizable, information-rich status bar showing real-time git status, system metrics, and session data.
Automates professional audio encoding, normalization, and mastering workflows using FFmpeg.
Orchestrates multi-phase, large-scale software projects by managing agent teams, dependencies, and complex implementation roadmaps.
Generates professional audio waveforms, spectrum analyzers, and reactive visualizers using advanced FFmpeg filters.
Automatically routes and initiates development tasks from URLs, issue references, and local specification files.
Enables structured generation and substitution using colored operad theory for complex domains like music, logic, and topology.
Generates sophisticated generative art and complex visual patterns using p5.js and algorithmic logic.
Resumes interrupted multi-agent workflows by restoring saved states and delegating tasks to specialized Shinchan character agents.
Orchestrates complex, multi-session development projects by maintaining structured context and progress tracking between AI interactions.
Implements automated code quality gates, formatting, and linting workflows to ensure production-ready standards.
Optimizes Next.js application performance by implementing advanced caching strategies, revalidation patterns, and the 'use cache' directive.
Automates the generation of TypeScript barrel files and organizes complex import paths for cleaner project structures.
Analyzes codebase architecture using topological data analysis to identify stable structural features and cyclic dependencies.
Generates comprehensive, research-backed work plans by interviewing users and analyzing codebases before implementation begins.
Converts complex project plans into self-contained YAML task specifications for autonomous multi-agent execution.
Implements standardized structured logging, distributed tracing, and monitoring patterns for robust system observability.
Generates clear, descriptive git commit messages by automatically analyzing staged changes and repository history.
Guides developers in selecting and implementing the most efficient MAP framework workflow based on task complexity and token constraints.
Identifies code smells, architectural violations, and refactoring opportunities across any programming language or framework to improve maintainability.
Scans existing codebases to generate optimized configuration files and behavioral rules for Claude Code and VS Code Copilot.
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