AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Evaluates Clojure code reliably using a standardized heredoc pattern to prevent quoting, shell expansion, and bracket-mismatch issues.
Integrates Clerk authentication into web and mobile projects by automatically executing official framework-specific quickstart guides.
Synchronizes real-time user and organization data from Clerk into your local database and application logic.
Optimizes Claude's context window by implementing progressive disclosure and hierarchical indexing for large MCP tool collections.
Performs comprehensive, multi-agent code reviews focusing on architecture, security, performance, and style consistency.
Implements a strict Red-Green-Refactor cycle for disciplined Test-Driven Development within Claude Code.
Orchestrates multiple specialized AI agents to perform concurrent security, architecture, and performance reviews on code changesets.
Transforms raw meeting transcripts into structured documentation with summaries, action items, and YAML metadata.
Standardizes Git commit messages using the Conventional Commits specification for improved project history and automation.
Guides creators through the end-to-end YouTube lifecycle from validated ideation and packaging to high-retention scripting and post-production.
Automates the execution of specification-driven development tasks using multi-agent coordination and quality gates.
Automates the complete development lifecycle from Linear issue analysis to pull request creation using a test-driven approach.
Generates detailed, multi-agent refined implementation plans for complex software features and architectural changes.
Automates the entire software development lifecycle from requirements and design to implementation using autonomous multi-agent collaboration.
Organizes complex AI coding tasks across multiple projects using persistent markdown state and a coordinator pattern.
Streamlines data transformation and analytics engineering workflows by applying software engineering best practices to dbt projects.
Automates the creation and updating of pull requests using conventional commits and detailed AI-generated descriptions.
Executes technical implementation plans step-by-step, automating file changes, testing, and progress tracking within AI-assisted development workflows.
Generates automated daily standup reports by aggregating development activity from GitHub and project tasks from Linear.
Performs multi-agent analysis of source code to provide deep insights into architecture, security vulnerabilities, and performance bottlenecks.
Integrates Uniswap protocol swap functionality into web applications, backend scripts, and smart contracts using the Trading API and Universal Router.
Conducts deep research into external documentation and industry best practices while cross-referencing findings with your internal codebase.
Refines and enhances AI prompts using advanced engineering techniques to improve performance, reduce token costs, and ensure model-specific accuracy.
Generates structured, conventional git commit messages by analyzing repository changes and historical patterns.
Generates comprehensive unit, integration, and end-to-end tests using advanced strategies like property-based and mutation testing.
Automates end-to-end deployment pipelines, infrastructure provisioning, and CI/CD workflows for multi-environment software releases.
Optimizes OCaml applications using Jane Street extensions for stack allocation, unboxed types, and SIMD-driven parallelism.
Implements comprehensive testing strategies for OCaml libraries using Alcotest, Eio mocks, and Cram integration tests.
Automates release versioning, changelog generation, and tag management for consistent project delivery.
Orchestrates and secures development environments using the mise, fnox, and Infisical secrets management toolchain.
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