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。
Orchestrates large-scale Java and Kotlin architectural refactorings using IntelliJ's headless engine and YAML configurations.
Automates the process of committing changes, pushing code to remote repositories, and updating GitHub issue status in a single workflow.
Defines and maintains the structural integrity, component taxonomy, and architectural boundaries of a software system.
Enforces and documents code quality standards, linting rules, and type safety measures based on verifiable repository evidence.
Conducts systematic exploration of codebases to gather context, analyze dependencies, and map code flows for efficient task implementation.
Enforces architectural integrity by standardizing terminology and minimizing external dependencies across all development tasks.
Implements a multi-phase refinement loop to provide AI agents with precise codebase context while minimizing token waste.
Modernizes CLI architectures through command modularization, interactive prompts, and deep hook lifecycle integration.
Implements modular Domain-Driven Design patterns and microkernel architecture to restructure complex AI workflows into maintainable bounded contexts.
Enforces professional coding standards and architectural best practices for TypeScript, JavaScript, React, and Node.js development.
Implements idiomatic Python patterns, PEP 8 standards, and modern type hints to ensure code is robust, efficient, and maintainable.
Refactors AI agent architectures by integrating agentic-flow@alpha to eliminate redundant code and optimize system performance.
Optimizes agentic workflows by integrating claude-flow with agentic-flow@alpha to eliminate code redundancy and boost performance.
Enforces standardized project structures and environment configurations across mobile, web, and backend platforms to ensure modularity and code consistency.
Generates production-ready Claude Code skills using standardized YAML frontmatter and progressive disclosure architecture.
Automates the creation of production-ready Claude Code skills using standardized YAML frontmatter and progressive disclosure architecture.
Enforces professional code standards at write-time through automated formatting, multi-language linting, and AI-powered remediation hooks.
Provides quantum-resistant, self-learning version control and multi-agent coordination for autonomous AI workflows.
Standardizes project development by providing comprehensive architectural patterns, file structures, and testing requirements for full-stack applications.
Optimizes React and Next.js applications using 45 high-impact performance rules curated by Vercel Engineering.
Simplifies the creation of complex ViewModels and multi-step wizards for Avalonia applications using ReactiveUI and the Zafiro toolkit.
Optimizes multi-agent version control using quantum-resistant security and self-learning workflow intelligence.
Navigates and manages GitHub repositories, issues, and pull requests directly through the GitHub CLI.
Streamlines the creation, validation, and optimization of portable skills for AI coding assistants and agents.
Configures the Deep Trilogy environment with advanced status monitoring, context tracking, and subagent hooks for Claude Code.
Configures real-time context window tracking for the Deep Trilogy plugin suite to enable precise resource monitoring.
Delegates complex coding tasks, analysis, and refactoring to OpenAI Codex with advanced reasoning and background execution.
Reorganizes disorganized git branch history into logical, production-ready commits with comprehensive messages.
Streamlines Avalonia UI development by implementing robust ViewModel and Wizard patterns using ReactiveUI and the Zafiro toolkit.
Automates and optimizes command-line operations, shell scripting, and system management for Linux and macOS environments.
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