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。
Transforms vague user requests into precise, high-fidelity instructions using industry-standard prompt engineering frameworks.
Orchestrates specialized subagents to execute complex implementation plans with automated two-stage code reviews.
Eliminates confirmation bias during complex debugging by generating and investigating three competing root-cause hypotheses in parallel.
Optimizes web communication through advanced HTTP protocol configurations, CDN strategies, and secure header implementations.
Automatically searches and links relevant Confluence documentation to active development tasks using intelligent keyword extraction and relevance scoring.
Automates the creation, optimization, and evaluation of standardized Claude Code skills while enforcing architectural best practices.
Discovers and installs specialized agent skills from the open ecosystem to extend AI capabilities with modular tools and workflows.
Orchestrates a structured 5-phase development cycle from research to documentation using optimized multi-model task execution.
Standardizes the creation of autonomous Claude Code agents with optimized system prompts and tool configurations.
Simplifies and shrinks codebases by identifying and removing dead code, unused files, and unnecessary abstractions.
Automates the creation and linking of Bitbucket Pull Requests from active tasks with full context and CI monitoring.
Builds comprehensive brand identities through interactive market research, competitive analysis, and strategic positioning.
Streamlines the creation, debugging, and registration of custom slash commands to extend Claude Code capabilities.
Manages iOS simulators and Android emulators for Expo development, including CI integration, performance profiling, and automated visual QA.
Automates type-safe API development by generating TypeScript definitions and fetch clients directly from OpenAPI specifications.
Transforms visual identity definitions into platform-ready design tokens and validates accessibility compliance.
Automates visual regression testing by capturing multi-breakpoint screenshots and verifying UI layouts against design intent.
Implements defense-in-depth security measures including rate limiting, input validation, and secure header configurations for robust API protection.
Transforms recurring AI patterns and observations into permanent project rules, skills, and memory entries to automate workspace learning.
Syncs Jira tickets into normalized local YAML task files with automatic contradiction detection and attachment management.
Streamlines the creation of type-safe server-side endpoints and request handlers within Expo Router applications.
Manages isolated Git worktrees to enable safe, experimental development without impacting the main working directory.
Implements structured content planning frameworks using pillar strategies, repurposing matrices, and automated publishing checklists.
Prevents merge conflicts in multi-agent workflows by enforcing strict file boundaries and interface contracts between development streams.
Diagnoses and optimizes agent reasoning patterns by analyzing session logs for structural failure patterns and bottlenecks.
Loads and audits design system artifacts to provide consistent UI/UX context for AI-driven development tasks.
Generates structured QA handover documentation from task files and git diffs to streamline the testing process.
Refreshes and updates existing brand identities by evolving voice, values, and positioning while preserving established brand equity.
Implements production-grade Vue 3 architectures using Composition API, Pinia state management, and SSR-safe patterns.
Extracts and codifies brand voice, values, and positioning from existing materials into structured guidelines.
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