AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Automates rigorous code reviews by validating build integrity, type safety, state management patterns, and test coverage within the Claude Code environment.
Standardizes the process of receiving and implementing code review feedback through technical verification rather than blind agreement.
Executes verified development plans by writing code, managing task statuses, and maintaining git commits in a structured multi-agent workflow.
Orchestrates simultaneous execution of multiple AI worker agents for complex, non-linear development tasks using DAG-based scheduling.
Performs expert technical architecture reviews of execution plans to ensure scalability, security, and long-term maintainability.
Implements secure, modern Stripe payment integrations following official architectural patterns and current API standards.
Implements a standardized pattern for managing project-specific plugin configurations and persistent state using YAML frontmatter.
Provides expert guidance and standardized patterns for building autonomous sub-agents within Claude Code plugins.
Standardizes Claude Code plugin development with guidance on directory layouts, manifest configuration, and automated component discovery.
Integrates Model Context Protocol (MCP) servers into Claude Code plugins to connect AI workflows with external tools and services.
Provides standardized guidance and best practices for creating, structuring, and optimizing specialized skills within Claude Code plugins.
Guides the creation and implementation of event-driven automation hooks to validate tool use, enforce security policies, and manage project context.
Guides the creation and management of custom guardrails and automation rules to control Claude's behavior during development.
Streamlines the creation, configuration, and optimization of custom slash commands for the Claude Code CLI.
Automatically generates professional project introduction slides and visual summaries by analyzing your codebase and using Gemini-powered image generation.
Automatically generates professional project introduction slides and visual summaries directly from your codebase using AI image generation.
Analyzes disease ontology issues for validity, identifies optimal design patterns, and generates structured reports with Mermaid diagrams and clinical justifications.
Automates Xcode Instruments profiling and performance analysis using the xctrace command-line interface.
Provides expert guidance and navigation paths for App Store Connect crash analysis, TestFlight feedback, and performance metrics.
Diagnoses and resolves application hangs in xOS apps by identifying main thread bottlenecks and implementing asynchronous patterns.
Provides comprehensive code patterns and API references for implementing Apple's MetricKit to monitor app performance and diagnostics.
Automates the end-to-end software release process including version bumping, Cargo publishing, and Git orchestration.
Transforms browser traffic into production-ready Python API clients through automated HAR analysis and code generation.
Integrates the VueUse library to implement concise, reactive Vue.js and Nuxt features using battle-tested composables.
Protects users and systems by identifying phishing attempts, verifying domains, and preventing credential leaks before actions are taken.
Provides a structured process and best practices for creating new skills that extend Letta Code's capabilities.
Orchestrates an autonomous, rule-driven development loop for standardized project management and automated release workflows.
Optimizes Flutter development by enforcing best practices for performant, maintainable, and reusable widget composition.
Implements industry-standard unit testing, table-driven tests, and mocking patterns for Go projects.
Implements type-safe, production-ready background jobs and task queues using BullMQ within the NestJS framework.
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