Code Review & Quality for Claude Code

Detects anemic domain models, validates and refactors them into rich domain models, and enforces tactical DDD patterns (Entities, Value Objects, Aggregates, Domain Services, Domain Events). Use when the user asks to validate, review, or check domain models or DDD code; detect anemia; refactor domain objects; improve encapsulation; or mentions terms like "anemic model", "rich domain", "aggregate", "value object", "domain event", "ubiquitous language", "is this good DDD", "does this follow DDD", o

Caching strategies — invalidation, TTL guidelines, cache keys, cache layers, and when not to cache. Use when implementing or reviewing caching logic.

Analyze codebases and automatically generate architecture diagrams, flowcharts, and org charts. Uses AST parsing to map import dependencies for Python, JS/TS, Go, and Java, outputting Mermaid or SVG files. Triggered when users ask to visualize code architecture, understand dependencies, draw a flowchart, or create a module diagram from source code.

Explore a codebase to find opportunities for architectural improvement, focusing on making the codebase more testable by deepening shallow modules. Use when user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more AI-navigable.

React Three Fiber (R3F) and Poimandres ecosystem best practices. Use when writing, reviewing, or optimizing R3F code. Triggers on tasks involving @react-three/fiber, @react-three/drei, zustand, @react-three/postprocessing, @react-three/rapier, or leva.

Deep analysis of Git history: identify frequently changed hotspot files, analyze code ownership by contributor, and scan for leaked secrets. Triggered when users ask about Git analysis, code hotspots, who owns what code, secret scanning, security audits of commit history, or optimizing code review assignments.

Systematically reviews code for SQL injection, XSS, SSRF, broken access control, cryptographic failures, and other common OWASP Top 10 vulnerabilities, providing vulnerable code examples and ready-to-use remediation guidance. Trigger this skill when users ask for a security review, vulnerability scan, or penetration testing assistance, or mention keywords like OWASP, SQL injection, XSS, code audit, or security checklist.

Three.js performance optimization and best practices guidelines. Use when writing, reviewing, or optimizing Three.js code. Triggers on tasks involving 3D scenes, WebGL/WebGPU rendering, geometries, materials, textures, lighting, shaders, or TSL.

Use when a quest does not start from a blank state and the agent must first audit, trust-rank, and reconcile existing baselines, results, drafts, or review materials before choosing the next anchor.

Filter reads by quality scores, length, and N content using Trimmomatic and fastp. Apply sliding window trimming, remove low-quality bases from read ends, and discard reads below thresholds. Use when reads have poor quality tails or require minimum quality for downstream analysis.

Generate and interpret quality reports from FASTQ files using FastQC and MultiQC. Assess per-base quality, adapter content, GC bias, duplication levels, and overrepresented sequences. Use when performing initial QC on raw sequencing data or validating preprocessing results.

Perform 12-Factor App compliance analysis on any codebase. Use when evaluating application architecture, auditing SaaS applications, or reviewing cloud-native applications against the original 12-Factor methodology.

Serves as a reviewer of the codebase with instructions on looking for Apple App Store optimizations or rejection reasons.

| CANN 代码审查技能。用于审查 GitCode 上的 CANN 项目 PR。 当用户提到"审查 PR"、"代码审查"、"cann review"或提供 GitCode PR 链接时触发。 自动分析代码变更，检查内存泄漏、安全漏洞和可读性，生成结构化报告并发布评论。

Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.

> Orchestrate full-duplex coding agent sessions via ACPX (preferred) or tmux (fallback), composing OpenClaw native tools and community Skills. Handles any coding task: requirements, bug fixes, refactoring, investigations. Use when: "implement feature X", "fix this bug", "refactor the API layer", "start agent", "open a session", "code this", "fix issue #N".

【Code Review 子 Agent · 门控二】对 git diff 逐项执行代码质量门控检查（运行时异常、性能瓶颈、安全漏洞、权限缺失、破坏性变更等 10 项），按 LOGAF h/m/l 分级输出，h 级清零后方可进入门控三。由 spec-driven-dev 的 code_review 阶段自动调用。

【Code Review 子 Agent · 门控一】校验本迭代所有 commit 是否符合 Conventional Commits 规范及项目可追溯性格式。输入 git log 片段和项目元数据，输出结构化校验报告并以 STATUS=OK|FAIL 结尾。由 spec-driven-dev 的 code_review 阶段自动调用，不建议单独触发。

【Code Review 子 Agent · 门控三】基于 Sentry LOGAF 三级标注（h/m/l）对代码变更执行 8 维度全面评审（设计合理性、测试质量、预期行为验证、长期影响、代码复杂度、规范执行、变更范围、知识共享）。输出结构化 Checklist 报告并给出最终裁决。由 spec-driven-dev 的 code_review 阶段在门控二通过后自动调用。

Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping

| GitHub repository code analysis. Uses local script `skills/scripts/github_analyze.js` to convert a repo into an AI-friendly Markdown snapshot. No external API required.

| AI驱动的Java代码安全审计技能，实现系统化、高覆盖率的漏洞挖掘。使用场景： (1) 审计Java/Kotlin项目寻找安全漏洞（0day挖掘、代码审计、安全评估） (2) 企业级代码库的安全审计（支持大型项目） (3) 需要高质量、低幻觉率的安全审计报告 (4) CI/CD集成的前期漏洞发现 触发关键词：Java审计、代码审计、安全审计、漏洞挖掘、0day、安全评估、Java security audit、code review for security

> A comprehensive JavaScript style guide skill. When activated, it provides best-practice JavaScript coding conventions and generates code that strictly follows the style guide, covering variables, functions, objects, arrays, classes, modules, async patterns, error handling, naming conventions, and more.

Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling

执行代码质量检查测试，基于阿里巴巴 P3C 规范对代码进行全面检查，包括命名规范、异常处理、并发安全、数据库规范、OOP 规范、安全规约和单元测试规范。Invoke when user needs to verify code quality against P3C standards.

Unused CSS detector and dead selector auditor. Scans your stylesheet files against all HTML, JSX, TSX, Vue, and template files to find selectors that are defined but never referenced anywhere in your codebase. Detects CSS framework (Tailwind, Bootstrap, CSS Modules, vanilla CSS, Sass/SCSS) and applies the right analysis strategy for each. Reports estimated byte savings per dead rule, finds !important overuse, duplicate selectors, and orphaned media-query blocks. Generates a safe-deletion plan wi

Static memory leak pattern scanner for Node.js, Python, Go, and Java. Analyzes source files to detect event listener leaks (addEventListener without corresponding removeEventListener), unbounded cache growth (Maps/objects grown in closures without eviction), setInterval/setTimeout references that prevent GC, large buffer allocations inside request handlers, global variable accumulation, circular reference patterns, and missing cleanup in class destructors/useEffect. For Node.js also runs --expos

Inspect third-party Claude/OpenClaw/Codex/OpenCode skills, plugins, repos, npm packages, pip packages, shell installers, and GitHub Actions before any download or installation. Use automatically whenever a user asks to install, add, pull, clone, run, curl-bash, npm install, pip install, clawhub install, or use a skill/plugin from GitHub, ClawHub, or other registries. Perform source reputation checks first, then pre-download code review, then post-download deep inspection without executing instal

Vet ClawHub skills for security and utility before installation. Use when considering installing a ClawHub skill, evaluating third-party code, or assessing whether a skill adds value over existing tools.

| Opinionated AI code reviewer — not a yes-machine. 6-layer deep review (logic, edge cases, performance, security, maintainability, architecture) with Devil's Advocate mode and standardized MUST FIX / SHOULD FIX / SUGGESTION output. Supports GitHub PR URL, local diff, commit hash. Languages: TypeScript/JavaScript, Python, Go, Rust. (中文) 有立场的智能代码审查：6 层审查维度、主动反对机制、标准化输出，支持 5 种语言。

在克隆的 Git 仓库中驱动完整的规格驱动开发生命周期（init→requirements→architecture→process_design→project_plan→coding→test→bugfix→code_review→release）。阶段门控、产物强制输出、多语言支持，内置 commit message 检查、代码门控与 LOGAF Checklist 评审，支持任意阶段 checkpoint 保存与 rollback 恢复，并实时发出结构化进度检查点。

Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.

Refactor and review SwiftUI view files for consistent structure, dependency injection, and Observation usage. Use when asked to clean up a SwiftUI view’s layout/ordering, handle view models safely (non-optional when possible), or standardize how dependencies and @Observable state are initialized and passed.

Optimize TypeORM entities for performance, query efficiency, migration safety, and relationship design — analyze decorators, indexes, eager loading, and connection pooling.

Analyze a codebase to produce an interactive knowledge graph for understanding architecture, components, and relationships

Apply meta-principles of software craftsmanship: DRY, orthogonality, tracer bullets, and design by contract. Use when the user mentions "best practices", "pragmatic approach", "broken windows", "tracer bullet", "software craftsmanship", "avoid technical debt", "code ownership", or "how do I become a better developer". Also trigger when evaluating build-vs-buy decisions, designing estimation approaches, or choosing between reversible and irreversible architectural decisions. Covers estimation, do

Apply named refactoring transformations to improve code structure without changing behavior. Use when the user mentions "refactor this", "code smells", "extract method", "replace conditional", "technical debt", "move method", "inline variable", "decompose conditional", or "clean up this messy code". Also trigger when cleaning up legacy code, preparing code for new features by restructuring, or identifying which transformation fits a specific code smell. Covers smell-driven refactoring, safe tran

Manage software complexity through deep modules, information hiding, and strategic programming. Use when the user mentions "module design", "API too complex", "shallow class", "complexity budget", "strategic vs tactical", "deep module", "information leakage", "pass-through method", "this code is over-engineered", or "simplify this design". Also trigger when reviewing an interface for simplicity, evaluating whether an abstraction is pulling its weight, deciding whether a comment is worth writing,

Safely change and test untested codebases using Feathers'' "Working Effectively with Legacy Code". Use when the user mentions "legacy code", "no tests", "untested codebase", "how do I test this", "seams", "characterization tests", "golden master", "sprout method", "afraid to change this code", "monster method", "dependency breaking", or "inherited a messy codebase". Also trigger when changing code without tests safely, getting a class under test when constructors, statics, or singletons block it

End-to-end GitHub repository maintenance for open-source projects. Use when asked to triage issues, review PRs, analyze contributor activity, generate maintenance reports, or maintain a repository. Triggers include "triage", "maintain", "review PRs", "analyze issues", "repo maintenance", "what needs attention", "open source maintenance", or any request to understand and act on GitHub issues/PRs. Supports human-in-the-loop workflows with persistent memory across sessions.