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Code refactoring strategies, technical debt reduction, architecture modernization, and code quality improvement. Use when refactoring code, modernizing legacy code, reducing complexity, or improving maintainability.
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检查代码结构，找出妨碍理解和测试的问题，将改进候选方案整理成带前后对比图的HTML报告。选定方案后，通过对话进一步明确约束、依赖关系和设计决策。
按统一标准检查变量和函数命名、代码可读性、数据更新方式及错误处理，用于新项目开发、代码审查和重构，帮助团队统一便于维护的写法。
Develop Spring Boot features and fixes by writing tests before implementation. Guides unit, web, persistence, and integration testing with JUnit 5, Mockito, MockMvc, and Testcontainers, plus JaCoCo measurement of how much code tests cover.
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用于在Quarkus服务修改后或部署前，依次检查构建、代码分析、测试与漏洞，并验证原生可执行文件、容器及环境配置，梳理部署前的检查事项。
Develop and refactor Quarkus 3.x LTS services by writing tests first. Covers API responses, event handling, and asynchronous operations, with unit and integration tests plus coverage checks to show how much code is tested.
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Write, review, and refactor modern C++ using the C++ Core Guidelines. Covers type safety, automatic resource cleanup, class design, exceptions, concurrency, and naming conventions, with examples and a checklist for identifying unsafe or inconsistent code.
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Review how easy code is to maintain using CodeScene MCP. Compare structural health scores before and after edits, identify design issues, and check commits and pull requests for changes that reduce maintainability.
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Delegate feature development, refactoring, and pull request reviews to Grok Build CLI. Use single-task runs or interactive sessions, monitor longer jobs, and resume earlier work with the project's existing instructions.
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Delegate feature implementation, refactoring, and pull request reviews to OpenCode CLI, a command-line AI coding agent. Run bounded tasks or ongoing sessions, monitor progress, resume work, and report file changes and test results.
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Guides delegation of coding tasks to Claude Code CLI through Hermes. Covers one-shot runs and ongoing interactive sessions for feature work, bug fixes, refactoring, and reviews, with controls for tool permissions, execution limits, and structured results.
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Delegate feature development, code refactoring, and pull request reviews to OpenAI Codex CLI. The skill also covers monitoring long tasks and fixing multiple issues in parallel using separate Git working directories.
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Guide coding, reviews, and refactoring with explicit assumptions, simple implementations, focused changes, and testable goals. These behavioral guidelines help an AI agent avoid unnecessary complexity and verify that its changes meet the request.
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Make working code easier to read and maintain while preserving its behavior. The skill identifies tangled conditions, unclear names, duplication, and unnecessary abstractions, then guides small refactoring steps checked against existing tests and project conventions.
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Improve existing code through repeated cycles of testing, implementation, and refactoring. The skill covers performance bottlenecks, error recovery, code coverage, and documentation, helping developers refine behavior and structure while keeping tests passing.
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Turn software development goals into manageable milestones with clear deliverables, dependencies, effort estimates, and success criteria. Use it to plan feature implementation, bug fixes, refactoring, performance improvements, and testing work.
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Review source code for readability, complexity, duplication, and maintainability without changing files. Receive a structured report with prioritized issues, refactoring suggestions, positive findings, and estimates of technical debt—the work needed to address accumulated code problems.
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Review a codebase for readability, performance, security, and architectural issues. The skill organizes findings into actionable recommendations, helping teams identify refactoring work, dependency risks, and areas that need better tests.
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Connect agent tasks in sequence, passing each result into the next step. Build custom workflows or use predefined pipelines for code analysis, refactoring, testing, and optimization, with execution progress, timing, and consolidated results.
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Write, review, and refactor React and Next.js code using performance guidelines from Vercel. Prioritized rules help identify sequential data requests, oversized JavaScript bundles, unnecessary re-renders, and other opportunities to improve loading and responsiveness.
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Refactor React components with too many true-or-false options into reusable parts. Provides guidance on component composition, shared state, and flexible interfaces, with examples of good and problematic implementations and specific guidance for React 19.
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Write, review, or refactor React and Next.js code using prioritized performance guidelines. Address sequential data requests, large bundles of browser code, server work, and unnecessary rendering, with explanations and code examples for each rule.
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Guide Angular development, code review, and refactoring with prioritized performance rules. Review rendering efficiency, loading time, and bundle size—the amount of code delivered to browsers—alongside data fetching and server-rendered page setup.
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Guide AI coding work toward simple implementations, focused edits, and explicit assumptions. Use it when writing, reviewing, or refactoring code to keep changes tied to the request and define success through tests or other concrete checks.
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