developer tools Claude 스킬을 발견하세요. 177개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Automates the end-to-end creation of DMAP-standard plugins using a structured 4-phase multi-agent development workflow.
Consults learned project patterns to ensure code consistency and adherence to user-specific preferences during development.
Streamlines parallel development and PR reviews by managing git worktrees in an organized, centralized directory structure.
Updates Claude's internal knowledge with current Zig 0.15.x syntax and API patterns for modern systems programming.
Standardizes version control operations through conventional commits, structured branching strategies, and safe repository management protocols.
Simplifies codebases by inlining single-use helper functions to reduce unnecessary indirection and cognitive load.
Automates the creation of GitHub Pull Requests using conventional commit formatting and intelligent template pre-filling.
Automates the generation of production-ready Claude Code skills using standardized templates and prompt engineering best practices.
Generates standardized conventional commit messages and manages git workflows with automated quality gates and parallel diff analysis.
Conducts comprehensive, multi-model technical reviews by synthesizing insights from Codex, Gemini, and Claude across diverse specialized domains.
Orchestrates an autonomous execute-verify-modify loop that iteratively refines code until it passes independent quality verification.
Generates standardized Gitmoji-based commit messages in Korean by analyzing code changes and diffs.
Automates the software engineering lifecycle through a multi-agent pipeline inspired by top-ranking SWE-bench workflows.
Standardizes Python development workflows using uv, Ruff, and loguru while enforcing strict type hinting and Korean docstring conventions.
Automates the detection, creation, and maintenance of verification skills by analyzing session-specific code changes.
Audits and identifies redundant patterns or 'slop' in AI-generated code to maintain high-quality standards.
Automates the creation and configuration of production-ready Next.js projects using a scalable feature-based architecture.
Enhances Ruby on Rails development by extracting precise code context and enforcing type safety via LSP tools and Sorbet.
Analyzes Rails project structures and architectural patterns to ensure AI-generated code matches existing conventions and dependencies.
Prevents common Ruby on Rails runtime errors and architectural pitfalls through proactive checklists and automated verification patterns.
Analyzes source code to identify and rank technical debt and complexity hotspots for prioritized refactoring.
Automates the identification and resolution of code linting errors to maintain high-quality, standardized codebases.
Scans repository state and history to provide a concise summary of current changes and recent commits.
Validates bibliography files for syntax errors, format compliance, and missing metadata across multiple academic standards.
Retrieves comprehensive metadata, version history, and dependency information for any npm package directly within the Claude Code environment.
Compares multiple npm packages side-by-side using NPMS.io quality metrics to help developers select the best dependencies.
Searches the npm registry for packages by keyword, name, or description to find and compare JavaScript libraries.
Enforces strict behavioral constraints and transparency standards to ensure Claude produces honest, verified, and high-integrity code implementations.
Accelerates Rust code by implementing platform-specific SIMD vectorization with automated hardware detection and performance validation.
Simplifies Git history by merging multiple small commits into meaningful, production-ready feature commits.
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