Creates safe refactor plans for messy UI code including component splitting strategies, state simplification, performance optimizations, and accessibility improvements. Provides phased approach, risk assessment, and "done" criteria. Use when refactoring "legacy code", "messy components", "performance issues", or "large files".
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Create safe, phased refactor plans for complex frontend code.
Identify Issues: Large components (>300 lines), prop drilling, duplicate logic, poor performance, accessibility gaps, tight coupling, untested code Prioritize: By risk (high-traffic pages first) and impact (user-facing bugs prioritized) Plan Phases: Break into small, testable increments
Component Splitting: Extract sub-components, create compound components, separate logic from presentation State Management: Lift state up, move to Context/Zustand, remove unnecessary state Performance: Memoization (useMemo/useCallback), code splitting, lazy loading, virtualization Accessibility: Add ARIA labels, keyboard navigation, focus management, semantic HTML Testing: Add tests before refactoring, test after each change
Phase 1 - Stabilize: Add tests, fix critical bugs, document current behavior Phase 2 - Extract: Pull out utilities, create smaller components, reduce complexity Phase 3 - Simplify: Remove dead code, consolidate duplicates, optimize state Phase 4 - Polish: Performance optimization, accessibility audit, documentation
Feature flags for gradual rollout, A/B testing refactored vs original, monitor error rates, have rollback plan, peer review all changes, incremental deployment.
Code coverage >80%, performance metrics improved, accessibility score 95+, no regressions in tests, code review approved, documentation updated.
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Audits and implements web accessibility (a11y) following WCAG 2.1 guidelines with ARIA patterns, keyboard navigation, screen reader support, and contrast checking. Use when users request "accessibility audit", "a11y review", "WCAG compliance", "screen reader support", or "keyboard navigation".
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Creates Architecture Decision Records documenting key technical decisions with context, alternatives considered, tradeoffs, consequences, and decision owners. Use when documenting "architecture decisions", "technical choices", "design decisions", or "ADRs".
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Designs multi-step agent workflows with tool usage, retry logic, state management, and budget controls. Provides orchestration diagrams, tool execution order, fallback strategies, and cost limits. Use for "AI agents", "agentic workflows", "multi-step AI", or "autonomous systems".
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MUST USE when user wants to 调研/research/搜索/search/查/找/look up anything on the internet — e.g. 全网调研 X / 帮我调研一下 X / 查一下 X / 搜搜 X / 看看大家怎么评价 X / X 上有什么讨论 / research this topic。 Also MUST USE when user mentions any platform or shares any URL/链接: 小红书/xiaohongshu/xhs, Twitter/推特/X, B站/bilibili, Reddit, Facebook, Instagram, V2EX, LinkedIn/领英/招聘/求职/jobs, YouTube, GitHub code search, 小宇宙播客, 雪球/股票行情, RSS feeds, or any web URL. 15 platforms, multi-backend routing (OpenCLI / per-platform CLIs / APIs). Zero config for 6 channels. Run `agent-reach doctor --json` to see which backend serves each platform right now. NOT for: 写报告/数据分析/翻译等内容加工（本 skill 只负责从互联网获取内容）； 发帖/评论/点赞等写操作；已有专门 skill 的平台（先用专门 skill）。 【路由方式】SKILL.md 包含路由表和常用命令，复杂场景需按需阅读对应分类的 references/*.md。 分类：search / social (小红书/推特/B站/V2EX/Reddit/Facebook/Instagram) / career(LinkedIn) / dev(github) / web(网页/文章/RSS) / video(YouTube/B站/播客) / finance(雪球/股票)。
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Orchestrates multi-agent AI systems with task delegation, agent communication, shared memory, and workflow coordination. Use when users request "multi-agent system", "agent orchestration", "AI agents", "agent coordination", or "autonomous agents".
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Creates SLO-based alerts and operational dashboards with key charts, alert thresholds, and runbook links. Use for "alerting", "dashboards", "SLO", or "monitoring".
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