AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Ensures high-quality code merges by enforcing a comprehensive 10-point checklist before creating Pull or Merge Requests.
Systematically clarifies app specifications through interactive questioning to generate a structured project roadmap.
Simplifies the creation and organization of robust tests using industry-standard patterns across multiple programming languages.
Refines codebase context for AI agents through a multi-phase loop to ensure subagents possess precise information for complex tasks.
Maintains repository documentation by synchronizing core truths, preventing content drift, and optimizing layouts for both humans and AI agents.
Automates the modernization of legacy Python codebases by converting old-style string formatting to efficient, readable f-strings.
Enables programmatic searching of Obsidian vaults using Dataview DQL and JsonLogic queries via the command line.
Implements comprehensive Python testing strategies using pytest, TDD methodologies, and advanced mocking patterns.
Provides expert guidance and implementation patterns for building scalable, resilient, and consistent distributed architectures.
Streamlines the containerization and deployment of MERN applications with production-ready Docker, CI/CD, and health monitoring configurations.
Maintains repository documentation integrity by preventing drift, organizing file taxonomies, and auditing technical claims for accuracy.
Performs systematic code audits to identify security vulnerabilities, logic bugs, and maintainability issues with actionable feedback.
Guides Product Owners through manual verification steps to validate features before they are merged into production.
Streamlines the transition from local development to team review by automating commit standards, PR preparation, and story log updates.
Standardizes the creation of high-level design documents for story-driven software development.
Standardizes pull request creation by generating structured templates that link code changes to specific user stories and test plans.
Automates a comprehensive six-phase verification workflow to ensure code quality, security, and build stability before Pull Request creation.
Standardizes the creation and management of user stories using a comprehensive, story-driven development log.
Standardizes REST API development with production-grade patterns for resource naming, error handling, and scalable pagination.
Optimizes file processing performance by caching results based on SHA-256 content hashes rather than file paths.
Standardizes project architecture and development workflows using a production-ready template for Next.js and FastAPI applications.
Implements safe, test-driven refactoring patterns to improve code structure without changing external behavior.
Implements robust end-to-end testing suites using Playwright, the Page Object Model, and advanced strategies for flaky test mitigation.
Implements robust end-to-end testing suites using Playwright, the Page Object Model, and advanced flaky test mitigation strategies.
Standardizes Java backend development with production-grade architecture patterns, REST API design, and resilient service layers.
Enforces rigorous test-driven development standards with comprehensive coverage requirements for robust code quality.
Implements industry-standard T-SQL best practices and performance optimization patterns for SQL Server and Azure SQL Database.
Provides idiomatic Rust patterns and best practices to build safe, performant, and memory-secure applications.
Implements a high-performance decision framework for parsing structured text by combining deterministic regex with LLM-powered edge case validation.
Implements idiomatic PowerShell patterns and best practices for building robust, cross-platform scripts and modules.
Scroll for more results...