AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Implements a scientific, hypothesis-driven methodology to isolate and resolve software bugs through rigorous observation and testing.
Implements a disciplined test-driven development cycle to ensure high-code quality and maintainable software design.
Documents significant technical decisions using a standardized ADR format to capture context, alternatives, and consequences.
Synchronizes local repositories with remote changes and generates a comprehensive status report to jumpstart your development session.
Generates high-quality, accessible, and distinctive user interfaces while eliminating generic AI design patterns.
Implements robust real-time data streaming patterns using SSE, WebSockets, and the Streams API for high-performance applications.
Automates the creation of Claude Code hooks for real-time linting, formatting, and type-checking during the development process.
Routes AI requests to various LLM providers including OpenAI, Grok, Groq, and DeepSeek using the SwiftOpenAI-CLI agent mode.
Automates task lifecycle tracking and roadmap maintenance within Plans.md files for autonomous AI development workflows.
Organizes and archives project files to maintain a lean, efficient development environment within Claude Code.
Streamlines the creation of high-performance GitLab CI/CD pipelines using multi-stage workflows, optimized caching, and secure deployment patterns.
Maps skill relationships and identifies workflow bottlenecks to optimize performance and token usage within the Claude ecosystem.
Generates production-ready Effect domain models using Schema.TaggedStruct for robust, type-safe business logic.
Integrate and manage PayPal payment processing including express checkout, recurring billing, and automated refund workflows.
Develops high-performance, secure Python backend services following industry-leading security practices and Test-Driven Development principles.
Implements Site Reliability Engineering (SRE) practices by defining Service Level Indicators (SLIs), Objectives (SLOs), and error budgets.
Implements end-to-end request tracking across microservices using Jaeger and OpenTelemetry to identify performance bottlenecks.
Generates production-ready GitHub Actions workflows for automated testing, containerization, and multi-cloud deployment.
Automates Kubernetes deployments using ArgoCD and Flux to maintain declarative infrastructure through Git-based workflows.
Builds sophisticated Retrieval-Augmented Generation systems to ground LLM responses with external knowledge and semantic search.
Implements robust backend architecture patterns like Clean Architecture and Domain-Driven Design to build maintainable and scalable systems.
Provides instant reference and error correction for the mapify CLI command suite.
Architect sophisticated LLM applications using LangChain's agents, memory systems, and complex chain patterns.
Implements production-grade Kubernetes security policies including NetworkPolicy, RBAC, and Pod Security Standards to ensure cluster-wide defense-in-depth.
Automates the staging, committing, and pushing of code changes using standardized conventional commit messages.
Optimizes development processes by selecting the most efficient MAP framework workflow based on task complexity and token budget.
Implements standard and advanced NFT protocols including ERC-721 and ERC-1155 with gas-optimized minting and metadata handling.
Automates end-to-end testing and UI debugging for local web applications using Playwright and managed server lifecycles.
Master the Bash Automated Testing System (Bats) to create robust, production-grade unit tests for shell scripts and CI/CD pipelines.
Provides a systematic methodology and templates for professional customer segmentation, targeting, and positioning (STP) analysis.
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