发现developer tools类别的 Claude 技能。浏览 177 个技能,找到适合您 AI 工作流程的完美功能。
Automates code generation by delegating complex tasks to high-reasoning models while ensuring quality through pattern matching and rigorous validation.
Guides the creation and organization of specialized Claude Code Skills using standardized metadata and modular file structures.
Automates the creation and setup of isolated Git worktrees with smart directory selection and safety verification.
Guides the development of modular, well-structured Claude Code skills using standardized templates and best practices.
Directs Python development issues to specialized skills based on specific symptoms, technical bottlenecks, and project requirements.
Analyzes unfamiliar codebases to map architecture, detect patterns, and identify improvement opportunities automatically.
Automates the final stages of feature development by verifying tests, managing merges or pull requests, and cleaning up local environments.
Automatically generates custom, project-specific Claude Code skills by analyzing codebase patterns, workflows, and team conventions.
Diagnoses and repairs corrupted Git states, orphaned worktrees, and inconsistent branch references.
Computes vector embeddings for project-local skills, agents, and commands to enable intelligent semantic discovery and smart routing.
Provides a standardized framework for building, managing, and persisting complex fitness workout models and routines.
Manages isolated development environments using Git worktrees with automated setup and safety verification.
Manages Claude Code skills by syncing them from local directories or remote Git repositories with ease.
Proposes structured architectural approaches and generates implementation plans with mandatory user approval gates.
Streamlines Git branch management by leveraging isolated worktrees for seamless context switching without stashing.
Enforces standardized coding styles and project-specific architectural patterns during agentic development.
Provides deep architectural insights and reality-based implementation strategies for the 33GOD agentic pipeline system.
Provides standardized patterns and best practices for building specialized, autonomous subagents within the Claude Code ecosystem.
Generates granular, step-by-step implementation plans from high-level designs to ensure precise engineering execution with zero context.
Automates the final steps of a git development branch by verifying tests, managing merges or pull requests, and cleaning up worktrees.
Enforces a rigorous TypeScript coding standard focused on type safety, immutability, and functional programming patterns.
Explores and maps codebase structures to verify assumptions and identify existing architectural patterns.
Implements high-standard engineering principles, property-driven design, and cross-platform best practices for robust software development.
Automates the end-to-end process of analyzing code changes, drafting idiomatic commit messages, and managing Git repository synchronization.
Streamlines feature development by creating isolated Git worktrees with automatic environment setup and safety verification.
Guides the creation and optimization of modular skills to extend Claude Code with specialized domain knowledge and workflows.
Standardizes the creation and organization of Claude Code plugins using best practices for directory layout and manifest configuration.
Upgrades legacy React applications to latest versions and migrates class components to modern hooks-based patterns.
Provides expert guidance and implementation patterns for building production-ready AI agents using the Claude Agent SDK in Python.
Enforces industry-standard coding principles, design patterns, and clean architecture guidelines during AI-assisted development.
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