AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Automates the generation of standardized, conventional commit messages by analyzing staged git changes.
Generates structured system use cases, actor definitions, and interaction scenarios to bridge business requirements and technical implementation.
Monitors and analyzes Prometheus and Loki billing metrics directly from Grafana to optimize observability costs.
Master Vue 3 development using the Composition API to build scalable, type-safe reactive applications.
Develops production-grade Home Assistant integrations with validated config flows, entity implementations, and proper async handling.
Automates web browsing, data extraction, and UI testing directly within the Claude Code environment using persistent sessions.
Architects robust, maintainable automated test suites across web and API platforms using industry-standard frameworks and design patterns.
Master Python asyncio and concurrent programming patterns to build high-performance, non-blocking applications.
Optimizes Flutter application performance through efficient widget rendering, memory management, and advanced profiling techniques.
Generates comprehensive security policies, incident response plans, and compliance documentation to streamline organizational security frameworks.
Generates structured business and functional requirements documentation to bridge the gap between stakeholders and technical teams.
Implements high-performance architecture patterns including load balancing, caching strategies, and database scaling to handle enterprise-level growth.
Creates comprehensive technical writing standards and voice guidelines to ensure documentation consistency and clarity.
Automates the deployment and management of containerized applications using production-ready Kubernetes patterns and manifests.
Architects scalable Flutter applications using BLoC, Riverpod, Provider, and GetX state management patterns.
Builds production-ready, scalable RESTful APIs using Express.js and TypeScript with integrated security and validation.
Identifies and remediates common database performance bottlenecks like N+1 queries, unbounded fetches, and connection pool issues.
Generates comprehensive test strategies and planning documents to ensure high-quality software delivery and efficient resource allocation.
Facilitates professional product management communication through structured reports, roadmap presentations, and strategic stakeholder alignment.
Optimizes product development cycles through expert backlog prioritization, story refinement, and data-driven estimation frameworks.
Profiles and optimizes Python code for speed and memory efficiency using industry-standard tools and performance patterns.
Enforces a rigorous evidence-based workflow requiring command execution and output validation before any task is marked as finished.
Transforms abstract ideas into validated technical designs through a structured, step-by-step collaborative dialogue.
Streamlines the final stages of feature development by verifying tests and managing branch integration or cleanup workflows.
Automates the end-to-end PRP engineering cycle by orchestrating branch creation, documentation, implementation, and pull requests in a single sequence.
Accelerates development by orchestrating multiple AI agents to handle independent tasks and bug fixes simultaneously.
Enforces a strict evidence-first protocol requiring empirical verification and fresh command output before any task is marked as complete.
Implements clean architecture service layers with type-safe error handling and efficient data access patterns.
Enforces 37signals-style Rails testing patterns focusing on fixtures, Minitest, and integration-style controller tests.
Automates software delivery with pre-configured templates for GitHub Actions, caching, and secure deployment pipelines.
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