developer tools Claude 스킬을 발견하세요. 177개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Automates the modernization of legacy Python codebases by converting old-style string formatting to efficient, readable f-strings.
Automates syncing Git forks with upstream repositories while maintaining clean mirror branches and managing complex branch hierarchies.
Analyzes source code for style violations, naming conventions, and architectural pattern compliance to ensure high-quality, consistent codebases.
Validates AI-generated code to eliminate function name drift, phantom imports, and architectural inconsistencies.
Automates Go code comment linting and AI-powered semantic analysis to ensure professional documentation standards across your codebase.
Architects autonomous, agent-first applications using principles of tool parity, atomic granularity, and prompt-driven feature composition.
Designs software systems where autonomous agents function as first-class citizens using atomic tools and prompt-driven features.
Architects applications where autonomous agents serve as first-class citizens using atomic tools and iterative loops.
Guides users in creating custom guardrails, safety warnings, and automated workflows for Claude Code using Hookify rule syntax.
Automates the migration of prompt templates from Handlebars syntax to Liquid.js for Output SDK compatibility.
Automates the creation of standardized, professional git commit messages using the Conventional Commits specification.
Standardizes git commit messages using Conventional Commits and ensures professional branch management for clean repository history.
Automates the migration of Flow SDK activity functions into Output SDK step definitions with typed Zod schemas.
Guides developers through building, optimizing, and packaging specialized modular capabilities for the Claude Code ecosystem.
Guides the creation and optimization of specialized Claude Code skills using context-efficient design patterns and modular workflows.
Fixes signature drift, phantom imports, and contract violations in AI-generated code to ensure architectural consistency.
Analyzes project architecture, dependency graphs, and naming conventions to ensure AI-generated code remains consistent and high-quality.
Manages isolated Git worktrees for parallel feature development and safe PR reviews without branch switching or stashing.
Optimizes React and Next.js applications using industry-leading performance patterns and Vercel Engineering guidelines.
Establishes a standardized framework for technical debt assessment, scoring rubrics, and automated scanner reporting patterns.
Automates the initial configuration of the ASTRA global development environment by managing settings, MCP servers, and core plugins.
Enforces standardized coding conventions across Java, TypeScript, Python, CSS, and React Native projects during development and refactoring.
Installs and manages specialized agent skills and instruction sets from community registries and GitHub repositories.
Installs and configures Model Context Protocol (MCP) servers directly from the official registry into your project's environment.
Installs and manages project-aware coding standards as modular rule files to ensure consistent AI behavior.
Installs and configures Elixir dependencies automatically by following HexDocs guides and project-specific best practices.
Provides a standardized framework and best practices for developing modular, high-performance Claude Code skills.
Standardizes the creation and management of AI agent skill packages compatible with Claude Code, Pi, and OpenClaw.
Automates the creation of atomic, conventional commits by analyzing codebase changes and following best practices.
Enforces consistent coding standards and architectural patterns based on the Agent OS global specification.
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