Nextjs Rsc To React Router V8 Migration logo

Nextjs Rsc To React Router V8 Migration

Community
Innei
nextjs-rsc-to-react-router-v8-migration

Use when migrating a multi-locale Next.js RSC / App-Router site to React Router v8 so SSR HTML is CDN-cacheable. RSC payload is uncacheable at the edge and locale × page count multiplies the bill. Covers ordered cuts: strip UA/geo/cookie SSR variance, split `.data` loaders from client fetches, restage theme SSR (next-themes + head script + /theme-vars.css), split middleware to Vercel Routing Middleware + root loader mirror, prerender static, land 3-tier Cache-Control so Cloudflare owns cache.

Overview

PublisherInnei
RepositorySKILL
Skill namenextjs-rsc-to-react-router-v8-migration
Stars
81
Forks
2
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Innei on GitHub. Read the source before you install it.

Installation

Install the Nextjs Rsc To React Router V8 Migration AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Innei/SKILL.git /tmp/SKILL
mkdir -p .claude/skills
cp -r /tmp/SKILL/skills/infrastructure/nextjs-rsc-to-react-router-v8-migration .claude/skills/nextjs-rsc-to-react-router-v8-migration
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nextjs Rsc To React Router V8 Migration in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nextjs Rsc To React Router V8 Migration on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nextjs Rsc To React Router V8 Migration is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

nextjs-rsc-to-react-router-v8-migration

Migrate a multi-locale Next.js RSC / App-Router site to React Router v8 so its SSR HTML is CDN-cacheable at the edge. The migration is not a "framework swap" — it is a cache-frame swap. RSC payload is per-request, per-cookie, per-header, and Vercel-only. RR8 gives you plain SSR HTML that Cloudflare can hold for hours if the response varies only by URL. The whole workflow enforces that invariant.

The gain is real only when locale × page multiplies the bill. On a 17-locale marketing surface with dynamic OG, sitemaps, and marketplace pages, RSC payload cost dominates even under ISR. RR8's plain SSR wins because the CDN can bypass origin for anonymous traffic.

When to use

  • Multi-locale (≥ 5 locales) SSR site whose RSC payload / ISR bill is a measurable cost driver.
  • Anonymous traffic dominates — the CDN can serve the same HTML to everyone in the same locale.
  • Team can absorb a phased cut: leave 3–5 URL groups on the legacy Next site behind for later ports (privacy/terms, growth pages, …).
  • CDN in front is Cloudflare (or any CDN that honours Cloudflare-CDN-Cache-Control). Vercel-CDN-only stacks lose the point — Vercel CDN cannot cache HTML that varies by cookie.

When NOT to use

  • Small site — RSC payload cost is a rounding error; keep Next.
  • Heavy Server Components composition — RR8 has no RSC. If your product surface is dashboard-shaped and you rely on RSC boundaries for streaming/composition, this trade is a loss.
  • SSR that legitimately varies per-user (dashboards, auth-gated pages) — CDN caching is moot; the migration only pays for anonymous surfaces.
  • Vercel CDN is the only CDN and you cannot bring Cloudflare in front.

Scope

  • Marketing / blog / marketplace-style SSR pages, multi-locale.
  • Loader-driven data fetch, most of which can move to client-side after hydration.
  • CSS-in-JS with SSR extraction (antd-style / emotion / stitches).
  • Middleware doing locale redirects, UA detection, geo hints.

Files

  • references/cache-control-profiles.md — the seven header profiles (HOME, PAGE, SITEMAP, DYNAMIC_OG, BADGE, STATIC_LONG, FEED, NO_STORE) and the 3-tier header rule.
  • references/loader-triage.md — decision matrix for splitting a loader between SSR-critical, prerender-safe, and client-fetch.
  • references/theme-ssr-recipe.md — next-themes + inline head script + cacheable /theme-vars.css compile-time recipe, incl. antd v6 cssVar override gotcha.

Workflow

text
[1]  Frame the migration as an edge-cache swap, not a framework swap
[2]  Stand up RR8 shell alongside legacy site (separate Vercel project)
[3]  Move src/app tree to RR8 route config; keep Next-like FS shape
[4]  Kill UA / geo / cookie-derived SSR variance
[5]  Split loader traffic: SSR-critical vs prerender-safe vs client-fetch
[6]  Restage theme SSR: next-themes + inline head script + /theme-vars.css
[7]  Rebuild middleware: Vercel Routing Middleware + root-loader mirror
[8]  Prerender the static surface (blog, about, docs) at build time
[9]  Decouple route-FS from feature-FS: routes/ = entry only
[10] Compile-time-ify runtime CSS via vite virtual modules
[11] Land 3-tier Cache-Control headers per route profile
[12] Cut traffic; leave the legacy Next site on for un-ported URL groups

Per-step notes

[1] Frame it as a cache swap. Before touching code, write down the per-locale RSC / ISR bill and the target cf-cache-status: HIT ratio. If the answer is "we cannot let CDN cache HTML because we personalise X", the migration will not pay — either fix X (move to CSR) or stop.

[3] Route FS shape. Do not flatten. Keep a Next-like nested tree (routes/blog/[slug]/page.tsx, routes/api/geo/route.ts, routes/docs/[...slugs]/page.tsx) even though RR8 uses explicit routes.ts. Every page module registers twice via a localized() helper: locale-less path (/blog/:slug, default en) and prefixed path (/:locale/blog/:slug). One module, two ids.

[4] Kill SSR variance. The single rule: SSR output must vary only by URL. No UA sniffing, no cookie-derived theme, no per-request geo. Move device detection to CSS media queries (or a matchMedia-based useIsMobile hook that agrees with those media queries), theme to next-themes + inline <head> script, geo to a client-side useGeo that calls /api/geo. If you leave one cookie-varying loader on a public route, that route stops caching.

[5] Loader triage. RR8 loaders re-run on client navigation as .data requests, which the CDN will not cache. Three buckets:

  • SSR-critical, prerender-safe (locale/route info, static blog metadata) → loader, and prerender at build.
  • SSR-critical, dynamic (fresh market/API data needed for first paint) → loader, but keep the SSR HTML cacheable by CDN because the URL fully identifies the result.
  • Post-hydration (marketplace lists, star counts, changelog tails) → strip from the loader; fetch client-side after hydration. This is the biggest CDN win — the .data round-trip disappears.

See references/loader-triage.md.

[6] Theme SSR. Ship both palettes (light + dark) as one cacheable stylesheet /theme-vars.css?v=<hash>, linked render-blocking from the root. An inline <head> script sets html[data-theme] from localStorage before first paint. antd v6 in cssVar mode re-declares --ant-* on any element carrying .ant-app / [class*='css-var-'], so scope the palette blocks to those selectors too, else the light literals shadow your dark palette on hydration. SSR CSS must be theme-agnostic: rewrite every appearance-dependent token to a var(--ant-*) reference so first paint picks the correct colour.

See references/theme-ssr-recipe.md.

[7] Middleware split. Legacy middleware.ts becomes two things:

  • src/middleware.ts (Vercel Routing Middleware, web-standard Request/Response, next()/rewrite() from @vercel/functions/middleware) — runs in prod before the CDN cache. Handles locale redirects, AI-tool redirects, NEXT_LOCALE cookie.
  • Root loader mirror — Vercel Routing Middleware does not run under bun run dev. Mirror the same locale / redirect logic in the root loader so dev matches prod.
  • Vercel's middleware compiler cannot resolve tsconfig path aliases. Pre-bundle src/middleware.ts (rolldown via vite's dep tree) into a self-contained /middleware.js in a build:middleware step.

[8] Prerender. RR8 supports build-time prerender. Ship the entire static surface (default-locale blog, docs, about, changelog) as HTML on disk; the CDN turns every one into a permanent HIT. Non-default locales stay dynamic if the bill allows; prerendering all 17 locales adds build minutes and repo weight.

[9] Route/feature FS. routes/ holds only route entry files (page.tsx, route.ts, Client.tsx, layout.tsx, [param] segments, not-found.tsx, pending-loading.tsx). Every feature implementation the route imports lives in src/features/<domain>/. Sub-features under [param] drop the brackets (coding/[agent]features/coding/agent).

[10] Compile-time-ify runtime CSS. Any CSS generated in route.ts at request time (theme vars, antd static rules) becomes a vite virtual module baked at build. The route serves the module contents with a hash query and a long-lived Cache-Control. Zero runtime cost, infinite CDN cache.

[11] 3-tier Cache-Control. Every response ships three headers:

  • Cache-Control (browser)
  • Cloudflare-CDN-Cache-Control (Cloudflare)
  • Vercel-CDN-Cache-Control: no-store (bypass Vercel CDN — deliberate)

Because Cloudflare owns cache, Vercel CDN is a pass-through. Seven profiles (HOME, PAGE, SITEMAP, DYNAMIC_OG, BADGE, STATIC_LONG, FEED, NO_STORE) — see references/cache-control-profiles.md. Apply per route via export const headers = () => toHeaderMap(PAGE).

[12] Phased cut. Do not port every URL group at once. Leave privacy/terms, growth pages, im-landing, icon marketplace on the legacy Next site behind their existing URLs; port them one PR at a time using the frozen legacy repo as reference. The traffic split lives at the DNS / edge layer (see the sibling skill dokploy-traefik-traffic-split for the SPA-asset trap that breaks naive weighted splits).

Common pitfalls

MistakeFix
Framing the work as "Next → RR migration"It is a cache-frame swap. If Cloudflare cannot cache the resulting HTML, you gained nothing.
Any cookie / UA / geo header on the SSR response's VarySSR must vary only by URL. Move personalisation to CSR.
Cookie-derived theme surviving into loader logicCannot pre-paint from a cache-hit HTML. Ship both palettes in cacheable /theme-vars.css; use next-themes + inline <head> script; set data-theme from localStorage before hydration.
antd v6 cssVar mode shadowing your palette on hydrationantd re-declares --ant-* on every element carrying .ant-app / [class*='css-var-']. Scope palette blocks to those selectors too, and rewrite appearance-dependent SSR tokens to var(--ant-*).
Every loader keeps its Next data-fetch verbatimEvery retained loader becomes a .data round-trip on client nav. Triage: keep only SSR-critical; move the rest to client fetch.
Vercel-CDN-only stackVercel CDN cannot cache HTML that varies by cookie. Bring Cloudflare in front and set Vercel-CDN-Cache-Control: no-store.
Deleting middleware.ts before mirroring its logic in the root loaderDev has no Vercel Routing Middleware — locale redirects vanish, users hit 404. Mirror first, delete second.
tsconfig path alias in the middleware bundleVercel's middleware compiler cannot resolve aliases. Pre-bundle to a self-contained /middleware.js via rolldown before deploy.
Runtime CSS generation for theme vars / antd static rulesMove to a vite virtual module baked at build. Hash the URL, long-lived Cache-Control, infinite CDN cache.
Skipping prerender because "SSR is fast enough"Prerender is not about latency, it is about turning first-request MISS into permanent HIT. Blog / about / docs default locale must ship as HTML.
Flattening the route FSKeep a Next-like nested tree even under explicit routes.ts. It survives contributor rotation and matches URL 1:1.
Mixing feature code into routes/routes/ holds entry files only. All feature code lives in src/features/<domain>/.
Porting all 17 locale variants at prerender timeBuild minutes explode. Prerender default locale only; other locales dynamic.
One-shot cut over all URL groupsPhased cut — leave legacy Next site running for un-ported URL groups. Use the sibling skill for the traffic split.
Loader boundary shows no pending UI on client navRR8 does not render pending UI by default. Add a pending-loading.tsx skeleton per route segment (mirrors Next loading.tsx). Do not use antd Skeleton — the lobehub-ui variant differs.
Emoji-lookalike imports from @lobehub/ui where base-ui fitsPrefer @lobehub/ui/base-ui for headless primitives; keeps the SSR CSS smaller and avoids theme-token surprises.

Rules

  • SSR varies only by URL. No exceptions on public routes. If a variance is required (auth, session), that route is NO_STORE.
  • Skill first, cut second. Do not remove the legacy site until the new site's cf-cache-status HIT ratio matches the target.
  • Every route declares a Cache-Control profile. No implicit defaults; explicit headers export per route.
  • Middleware logic mirrors in the root loader. Two homes, one behaviour.

Verification

  • bun run build produces /middleware.js with no unresolved aliases (grep for @/ in the emitted bundle → zero hits).
  • bun run start serves the production build.
  • curl -I https://<host>/ twice: second response has cf-cache-status: HIT and vercel-cache: MISS (Vercel is pass-through by design).
  • No public route emits Set-Cookie in its SSR response.
  • curl -I https://<host>/blog/<slug>.data returns a body but is not cached at the CDN (cf-cache-status: BYPASS or MISS); that route was demoted to a client fetch instead if it appears on hot paths.
  • First paint shows the correct theme (light or dark) with no white → dark repaint. Test with prefers-color-scheme: dark and with theme=dark in localStorage.
  • NEXT_LOCALE=zh cookie on /blog/foo triggers 307 to /zh/blog/foo — both in dev (root-loader mirror) and prod (Vercel Routing Middleware).
  • build/client/blog/**/*.html exists for the prerendered default locale.
  • Every route module exports headers and each profile in references/cache-control-profiles.md appears at least once in the emitted route table.
  • Legacy site still serves the un-ported URL groups; traffic split config committed alongside the migration cut.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nextjs Rsc To React Router V8 Migration AI skill do?

Use when migrating a multi-locale Next.js RSC / App-Router site to React Router v8 so SSR HTML is CDN-cacheable. RSC payload is uncacheable at the edge and locale × page count multiplies the bill. Covers ordered cuts: strip UA/geo/cookie SSR variance, split `.data` loaders from client fetches, restage theme SSR (next-themes + head script + /theme-vars.css), split middleware to Vercel Routing Middleware + root loader mirror, prerender static, land 3-tier Cache-Control so Cloudflare owns cache.

Why use Nextjs Rsc To React Router V8 Migration on TypingMind?

Because you install it once and use it with any model. Nextjs Rsc To React Router V8 Migration is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nextjs Rsc To React Router V8 Migration in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Innei/SKILL/tree/main/skills/infrastructure/nextjs-rsc-to-react-router-v8-migration. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nextjs Rsc To React Router V8 Migration?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nextjs Rsc To React Router V8 Migration?

As many as you like. As long as a model supports skills, you can use Nextjs Rsc To React Router V8 Migration with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nextjs Rsc To React Router V8 Migration AI skill free?

It is published on GitHub by Innei. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇