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Code Review & Quality
Code review, refactoring, debugging, maintainability, and engineering quality
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Showing 11,977–12,000 of 15,944 skills
- Code Element Professionalism`analysis-agent`/`task-agent`/`review-agent`: use when variables, expressions, or statements can alter local semantics; skip structure, API, language, or runtime ownership.Votes: 0GitHub stars: 7
- Code Clarity Maintainability`analysis-agent`/`task-agent`/`review-agent`: use when changed flow, naming, or navigation hides obligations; skip placement, API-contract, language, or performance decisions.Votes: 0GitHub stars: 7
- Cleanup Deletion Governance`analysis-agent`/`task-agent`/`review-agent`: use when deleting dead code, flags, fallbacks, compatibility, APIs, or generated remnants; skip when no cleanup decision exists.Votes: 0GitHub stars: 7
- Async Job Design`task-agent`/`review-agent`: use when jobs, workers, queues, schedules, retries, cancellation, or status visibility need design; skip when no async-job decision is required.Votes: 0GitHub stars: 7
- Swiftui Ui PatternsBest practices and example-driven guidance for building SwiftUI views and components, including navigation hierarchies, custom view modifiers, and responsive layouts with stacks and grids. Use when creating or refactoring SwiftUI UI, designing tab architecture with TabView, composing screens with VStack/HStack, managing @State or @Binding, building declarative iOS interfaces, or needing component-specific patterns and examples.Votes: 0GitHub stars: 17
- Pool Setup{% cut "Have I understood correctly that if I use `set the the skill value = 1` with the `accepted task suite responses (%) >= 75` and `10 recent values to use`, for every 8 correctly completed tasks out of 10 the Toloker is given 1 skill point?" %} No, this is incorrect. With these settings, each time a rule condition is met, the Toloker gets `skill = 1`. To change the skill value in the process of task review, you need a “multi-step” rule, which has multiple identical rules with different v...Votes: 0GitHub stars: 2
- Pool Setup{% cut "I want to calculate a skill based on performance in multiple projects. Is that possible? If it is, can I use “Aggregation by skill”?" %} If you mean multiple different projects, you can't do that. You can merge all the projects into one and use **History size** in the quality control rules. See examples in the [Control tasks](../../../../guide/concepts/goldenset.md) section. You can use **Aggregation by skill**, but you'll need to list all the possible values, which is probably not th...Votes: 0GitHub stars: 2
- Memory Leak DetectorDetect potential memory leaks and analyze memory usage patterns in code. Use when troubleshooting performance issues related to memory growth or identifying leak sources. Trigger with phrases like "detect memory leaks", "analyze memory usage", or "find memory issues".Votes: 0GitHub stars: 21
- Cpu Usage MonitorThis skill enables claude to monitor and analyze cpu usage patterns withinVotes: 0GitHub stars: 21
- Bottleneck DetectorThis skill enables claude to detect and resolve performance bottlenecksVotes: 0GitHub stars: 21
- Skill AdapterThis skill analyzes code coverage metrics to identify untested code and generate comprehensive coverage reports. It is triggered when the user requests analysis of code coverage, identification of coverage gaps, or generation of coverage reports. The skill is best used to improve code quality by ensuring adequate test coverage and identifying areas for improvement. Use trigger terms like "analyze coverage", "code coverage report", "untested code", or the shortcut "cov".Votes: 0GitHub stars: 21
- Skill AdapterThis skill enables Claude to validate test suite quality by performing mutation testing. It is triggered when the user asks to run mutation tests, analyze test effectiveness, or improve test coverage. The skill introduces code mutations, runs tests against the mutated code, and reports on the "survival rate" of the mutations, indicating the effectiveness of the test suite. Use this skill when the user requests to assess the quality of their tests using mutation testing techniques. Specific tr...Votes: 0GitHub stars: 21
- Skill AdapterThis skill enables Claude to detect potential memory leaks and analyze memory usage patterns in code. It is triggered when the user requests "detect memory leaks", "analyze memory usage", or similar phrases related to memory leak detection and performance analysis. The skill identifies potential issues such as unremoved event listeners, closures preventing garbage collection, uncancelled timers, unbounded cache growth, circular references, detached DOM nodes, and unnecessary global state accu...Votes: 0GitHub stars: 21
- Skill AdapterThis skill enables Claude to monitor and analyze CPU usage patterns within applications. It helps identify CPU hotspots, analyze algorithmic complexity, and detect blocking operations. Use this skill when the user asks to "monitor CPU usage", "optimize CPU performance", "analyze CPU load", or "find CPU bottlenecks". It assists in identifying inefficient loops, regex performance issues, and provides optimization recommendations. This skill is designed for improving application performance by a...Votes: 0GitHub stars: 21
- Skill AdapterThis skill enables Claude to detect and resolve performance bottlenecks in applications. It analyzes CPU, memory, I/O, and database performance to identify areas of concern. Use this skill when you need to diagnose slow application performance, optimize resource usage, or proactively prevent performance issues. The skill is triggered by requests to "detect bottlenecks", "analyze performance", "find performance issues", or similar phrases related to performance optimization. It helps uncover r...Votes: 0GitHub stars: 21
- Requesting Code ReviewDispatch code-reviewer subagent to review implementation against plan or requirements before proceedingVotes: 0GitHub stars: 21
- Python3 DevelopmentThe model must use this skill when : 1. working within any python project. 2. Python CLI applications with Typer and Rich are mentioned by the user. 2. tasked with Python script writing or editing. 3. building CI scripts or tools. 4. Creating portable Python scripts with stdlib only. 5. planning out a python package design. 6. running any python script or test. 7. writing tests (unit, integration, e2e, validation) for a python script, package, or application. Reviewing Python code against bes...Votes: 0GitHub stars: 21
- CollectionDesign and implement multi-agent workflows with LangGraph 0.2+ - state management, supervisor-worker patterns, conditional routing, and fault-tolerant checkpointingVotes: 0GitHub stars: 24
- CollectionSystematic technical debt quantification and management using SQALE methodology with value-effort prioritization, phased paydown roadmaps, and prevention strategies. Use when technical debt unmeasured or subjective, need objective prioritization, planning refactoring work, establishing debt prevention practices, or tracking debt trends over time. Provides 6 methodology components (measurement with SQALE index, categorization with code smell taxonomy, prioritization with value-effort matrix, p...Votes: 0GitHub stars: 24
- CollectionApply Bootstrapped AI Methodology Engineering (BAIME) to develop project-specific methodologies through systematic Observe-Codify-Automate cycles with dual-layer value functions (instance quality + methodology quality). Use when creating testing strategies, CI/CD pipelines, error handling patterns, observability systems, or any reusable development methodology. Provides structured framework with convergence criteria, agent coordination, and empirical validation. Validated in 8 experiments wit...Votes: 0GitHub stars: 24
- CollectionSystematic methodology for standardizing cross-cutting concerns (error handling, logging, configuration) through pattern extraction, convention definition, automated enforcement, and CI integration. Use when codebase has inconsistent error handling, ad-hoc logging, scattered configuration, need automated compliance enforcement, or preparing for team scaling. Provides 5 universal principles (detect before standardize, prioritize by value, infrastructure enables scale, context is king, automate...Votes: 0GitHub stars: 24
- CollectionSimple Mode - Natural language orchestrator for TappsCodingAgents. Coordinates multiple skills (@enhancer, @planner, @architect, @designer, @implementer, @reviewer, @tester, @debugger, @improver) based on user intent.Votes: 0GitHub stars: 24
- CollectionSerena智能代码分析工具使用指南，提供符号级代码探索、编辑和重构能力。Votes: 0GitHub stars: 24
- CollectionGuide for writing and improving Claude Code skills. Use when creating new skills, debugging why skills aren't activating, or improving skill descriptions and structure.Votes: 0GitHub stars: 24