Agent Skills: Vercel React Best Practices (Local/Docker)

React and Next.js performance optimization guidelines from Vercel Engineering, tuned for local/offline or docker-deployed apps.

UncategorizedID: srbhr/resume-matcher/react-patterns

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srbhrLicense: Apache-2.0
26,4164,754

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pnpm dlx add-skill https://github.com/srbhr/Resume-Matcher/tree/HEAD/.claude/skills/react-patterns

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.claude/skills/react-patterns/SKILL.md

Skill Metadata

Name
react-patterns
Description
React and Next.js performance optimization guidelines from Vercel Engineering, tuned for local/offline or docker-deployed apps.

Vercel React Best Practices (Local/Docker)

Comprehensive performance optimization guide for React and Next.js applications, maintained by Vercel. This version highlights the most important patterns for local installs or dockerized deployments.

Purpose

Provide a high-signal checklist to avoid async waterfalls, reduce client payloads, and keep UI responsive without relying on hosted or edge-specific optimizations.

When to Apply

  • Building or refactoring React components or Next.js pages
  • Implementing Server Actions, Route Handlers, or data fetching
  • Reducing startup time or memory footprint for local installs
  • Debugging sluggish UI or long hydration times
  • Reviewing code for performance regressions

Offline and Docker Focus

  • Optimize for cold-start and steady-state responsiveness over SEO.
  • Use in-process caches because the server process persists.
  • Avoid sequential awaits even for local APIs or databases.
  • Defer non-critical work until after render or after responses are sent.
  • Minimize RSC props to reduce hydration and memory overhead.

Top Findings

  • Eliminate async waterfalls by starting work early and awaiting late with Promise.all or better-all.
  • Use Suspense boundaries to stream UI instead of blocking the whole page on data.
  • Reduce initial load and memory via dynamic imports, conditional loading, and direct imports.
  • Minimize RSC payloads; pass only fields used and avoid duplicating serialized data.
  • Cache hot server work: React.cache per request and LRU for cross-request reuse.
  • Reduce client work with memoized subtrees, lazy state init, transitions, and content-visibility for large lists.

Core Patterns

  • async-parallel and async-api-routes to eliminate waterfalls
  • async-suspense-boundaries to stream slow sections
  • bundle-barrel-imports and bundle-dynamic-imports to reduce startup cost
  • server-serialization and server-dedup-props to shrink RSC payloads
  • server-cache-react and server-cache-lru to reuse hot work
  • rerender-lazy-state-init and rerender-transitions for responsive UI
  • rendering-content-visibility for long lists
  • client-swr-dedup for fetch deduplication

Outputs

  • REACT_PATTERNS.md for a condensed, offline-focused guide
  • AGENT.md for the full compiled reference

Rule Categories by Priority

| Priority | Category | Impact | Prefix | |----------|----------|--------|--------| | 1 | Eliminating Waterfalls | CRITICAL | async- | | 2 | Bundle Size Optimization | CRITICAL | bundle- | | 3 | Server-Side Performance | HIGH | server- | | 4 | Client-Side Data Fetching | MEDIUM-HIGH | client- | | 5 | Re-render Optimization | MEDIUM | rerender- | | 6 | Rendering Performance | MEDIUM | rendering- | | 7 | JavaScript Performance | LOW-MEDIUM | js- | | 8 | Advanced Patterns | LOW | advanced- |

How to Use

Start with REACT_PATTERNS.md for the condensed guidance.

Full Compiled Document

For the complete guide with all rules expanded: AGENT.md