platform: Skill for Claude Code

.agents/skills/vercel-react-best-practices/SKILL.md

vercel-react-best-practices is a skill for Claude Code, Codex from tutur3u/platform. It costs 25 tokens per session (1,760 once invoked), scanned A, a copy of react-performance, Apache-2.0.

A set of performance guidelines for React and Next.js, tools commonly used to build web interfaces and applications. The guidance covers data fetching, JavaScript bundles, server work, re-rendering, and rendering speed.

In plain words
What is it for?
Use it when writing, reviewing, or refactoring React or Next.js code, especially pages, components, data fetching, bundles, and load-time problems.
Why use it?
It helps developers find patterns that make web applications load or respond slowly. It also encourages breaking oversized files and components into smaller modules.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is tutur3u/platform's own configuration. It tells Claude Code and Codex how to work on platform itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything platform configures →

Reuse

Borrowing it

Nothing to install: this file belongs to tutur3u/platform. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/tutur3u/platform/main/.agents/skills/vercel-react-best-practices/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/tutur3u/platform

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for vercel-react-best-practices

README.md
[![agentmods](https://agentmods.dev/badge/skills/tutur3u/platform/vercel-react-best-practices/github.svg)](https://agentmods.dev/skills/tutur3u/platform/vercel-react-best-practices)
Your own site
<a href="https://agentmods.dev/skills/tutur3u/platform/vercel-react-best-practices"><img src="https://agentmods.dev/badge/skills/tutur3u/platform/vercel-react-best-practices/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for vercel-react-best-practices

Your own site · 80×15
<a href="https://agentmods.dev/skills/tutur3u/platform/vercel-react-best-practices"><img src="https://agentmods.dev/badge/skills/tutur3u/platform/vercel-react-best-practices.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,760 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 94% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00025 $0.01760
Opus 5.5 $0.00010 $0.00704
Sonnet 5.5 $0.00005 $0.00352
Haiku 4.5 $0.00003 $0.00176

Measured 1mo ago against content hash 99dd0335436e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

vercel-react-best-practices scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

94% identical to react-performance — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/vercel-react-best-practices/SKILL.md · 150 lines

How it starts

The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Vercel React Best Practices

Comprehensive performance optimization guide for React and Next.js applications, maintained by Vercel. Contains 69 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation.

When to Apply

Reference these guidelines when:

  • Writing new React components or Next.js pages
  • Implementing data fetching (client or server-side)
  • Reviewing code for performance issues
  • Refactoring existing React/Next.js code
  • Optimizing bundle size or load times
  • Keeping module boundaries healthy: automatically split React/Next.js files over 400 LOC and components over 200 LOC before final verification. Prefer route-level modules, focused cards/panels, extracted hooks, and stable barrel re-exports over monolithic client files.

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-

Quick Reference

1. Eliminating Waterfalls (CRITICAL)

  • async-cheap-condition-before-await - Check cheap sync conditions before awaiting flags or remote values
  • async-defer-await - Move await into branches where actually used
  • async-parallel - Use Promise.all() for independent operations
  • async-dependencies - Use better-all for partial dependencies
  • async-api-routes - Start promises early, await late in API routes
  • async-suspense-boundaries - Use Suspense to stream content

2. Bundle Size Optimization (CRITICAL)

  • bundle-barrel-imports - Import directly, avoid barrel files
  • bundle-dynamic-imports - Use next/dynamic for heavy components
  • bundle-defer-third-party - Load analytics/logging after hydration
  • bundle-conditional - Load modules only when feature is activated
  • bundle-preload - Preload on hover/focus for perceived speed

Read the full file on GitHub · 150 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed · -42 tokens per session 99dd0335436e
  2. 1mo ago First seen · 150 lines · 67 tokens per session scan A b399aff3aedf

Subscribe to this mod's changes

vercel-react-best-practices is a skill published in the GitHub repository tutur3u/platform (55 stars, last pushed today), licensed Apache-2.0. It adds 25 tokens to every session and 1,760 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to react-performance, differing in 9 lines, and is treated as a copy.

Related

Other skills, from other repositories

magic-ui

Use this skill when users want to add, customize, or troubleshoot Magic UI components in React/Next.js projects. It covers component selection, shadcn registry installation (@magicui/), integration patterns, and practical quality checks for accessibility and maintainability.

magicuidesign/magicui · 56 tokens

frontend-engineer

!cat skills/shared/protocols/ux-protocol.md 2>/dev/null || true !cat skills/shared/protocols/input-validation.md 2>/dev/null || true !cat skills/shared/protocols/tool-efficiency.md 2>/dev/null || true !cat .production-grade.yaml 2>/dev/null || echo "No config — using defaults" !cat .forgewright/codebase-context.md…

buiphucminhtam/forgewright · 55 tokens

nextjs-app-router

Full end-to-end tRPC setup for Next.js App Router. Covers route handler with fetchRequestHandler (GET + POST exports), TRPCProvider with QueryClientProvider, createTRPCOptionsProxy for RSC prefetching, HydrateClient/HydrationBoundary for hydration, useSuspenseQuery for Suspense, and server-side callers.

trpc/trpc · 74 tokens

subscriptions

Set up real-time event streams with async generator subscriptions using .subscription(async function() { yield }). SSE via httpSubscriptionLink is recommended over WebSocket. Use tracked(id, data) from @trpc/server for reconnection recovery with lastEventId. WebSocket via wsLink and createWSClient from @trpc/client…

trpc/trpc · 118 tokens

links

Configure the tRPC client link chain: httpLink, httpBatchLink, httpBatchStreamLink, splitLink, loggerLink, wsLink, createWSClient, httpSubscriptionLink, unstablelocalLink, retryLink. Choose the right terminating link. Route subscriptions via splitLink. Build custom links for SOA routing. Link options: url, headers…

trpc/trpc · 90 tokens

react-query-setup

Set up @trpc/tanstack-react-query with createTRPCContext(), TRPCProvider, useTRPC() hook, queryOptions/mutationOptions factories, query invalidation via queryClient.invalidateQueries with queryFilter, and type inference with inferInput/inferOutput.

trpc/trpc · 60 tokens