Next Cache Components Optimizer
sanity-io/ui
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation).
Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation).
$ npx skills add vercel/next.js --skill next-cache-components-optimizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vercel/next.js next-cache-components-optimizer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/vercel/next.js.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/next-cache-components-optimizer .claude/skills/next-cache-components-optimizer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "next-cache-components-optimizer" agent skill from https://github.com/vercel/next.js/tree/canary/skills/next-cache-components-optimizer into .claude/skills/next-cache-components-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "next-cache-components-optimizer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/vercel/next.js/tree/canary/skills/next-cache-components-optimizerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add vercel/next.js --skill next-cache-components-optimizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vercel/next.js next-cache-components-optimizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vercel/next.js.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/next-cache-components-optimizer .agents/skills/next-cache-components-optimizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "next-cache-components-optimizer" agent skill from https://github.com/vercel/next.js/tree/canary/skills/next-cache-components-optimizer into .agents/skills/next-cache-components-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "next-cache-components-optimizer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vercel/next.js --skill next-cache-components-optimizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vercel/next.js next-cache-components-optimizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vercel/next.js.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/next-cache-components-optimizer .cursor/skills/next-cache-components-optimizer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "next-cache-components-optimizer" agent skill from https://github.com/vercel/next.js/tree/canary/skills/next-cache-components-optimizer into .cursor/skills/next-cache-components-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "next-cache-components-optimizer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/vercel/next.js.git --path skills/next-cache-components-optimizer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add vercel/next.js --skill next-cache-components-optimizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vercel/next.js next-cache-components-optimizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vercel/next.js.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/next-cache-components-optimizer .gemini/skills/next-cache-components-optimizer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "next-cache-components-optimizer" agent skill from https://github.com/vercel/next.js/tree/canary/skills/next-cache-components-optimizer into .gemini/skills/next-cache-components-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "next-cache-components-optimizer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install vercel/next.js next-cache-components-optimizerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add vercel/next.js --skill next-cache-components-optimizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vercel/next.js.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/next-cache-components-optimizer .github/skills/next-cache-components-optimizer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "next-cache-components-optimizer" agent skill from https://github.com/vercel/next.js/tree/canary/skills/next-cache-components-optimizer into .github/skills/next-cache-components-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "next-cache-components-optimizer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vercel/next.js --skill next-cache-components-optimizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vercel/next.js next-cache-components-optimizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vercel/next.js.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/next-cache-components-optimizer .opencode/skills/next-cache-components-optimizer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "next-cache-components-optimizer" agent skill from https://github.com/vercel/next.js/tree/canary/skills/next-cache-components-optimizer into .opencode/skills/next-cache-components-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "next-cache-components-optimizer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
next-cache-components-optimizerOptimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation).
Next Cache Components Optimizer is an agent skill from vercel/next.js, published by the product's own GitHub organization. Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards against regression. Use when asked to grow a static shell, fix a slow first paint or non-instant navigation, diagnose which Suspense boundary blocks useful UI, or add instant() regression coverage…
Its SKILL.md is about 5.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `reference/red-test-robustness.md`, `rig-template.md` and `test-template.md`).
It sits in Testing & QA, covering Browser testing and End-to-end testing. It works with Next.js and Playwright. The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit a32ddfd. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
rgnpmnpxFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
nextjs.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Next Cache Components Optimizer loads about 5.8k tokens when it runs. Until then it costs about 152 tokens; SKILL.md has 2,771 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from vercel/next.js at commit a32ddfd, republished under its MIT licence (© vercel). 2,771 words, ~5,768 tokens.
.claude/skills/next-cache-components-optimizer/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Set up an agentic optimization loop that drives a Next.js route from "not
instant" to "instant" and keeps it there. The loop is test-driven: encode the
goal as a failing @next/playwright instant() test, work it to green, and
ship the test as the regression guard. Run it once per target route and entry
point. Work the phases P → G in order; each ends in a gate.
Before changing the route, read the bundled Optimizing the static shell
guide at
node_modules/next/dist/docs/01-app/02-guides/optimizing-the-static-shell.md.
If it is unavailable, use the online
guide. The
guide owns the framework behavior and implementation patterns. This skill owns
the navigation contract, production rig, trustworthy RED-to-GREEN loop,
parity check, differential, and report.
One thing here is fixed. The rest is yours. Read this before treating any command, platform, or env var below as a requirement.
@next/playwright instant(). This skill uses
instant()
as a ruler, not a stopwatch (phase A). It comes from
@next/playwright (installed alongside @playwright/test, on the same
release line as next), so it isn't tied to any host. Keep it. Timing a
navigation by hand is too flaky to trust, and is the failure mode this skill
exists to prevent.next build && next start, a CI/staging container, and a per-push preview
deploy are equally valid rigs; the verdict comes from the build, never the
platform. Phase 0 maps the invariant onto your repo. Read every platform
name, env-var spelling, and command below as an example to translate, not a
requirement.A route reaches the user two ways:
loading.tsx).The same implementation patterns can make either entry point instant. The test differs only in how the navigation is driven ("Driving the navigation in tests" below), and the available UI can differ because a soft navigation reuses layouts above the source and destination's divergence point. Guard the entry point the user named, and both when both matter. See What "instant" means.
This skill is therefore not limited to increasing the direct-load static
shell. It can also fix a non-instant client navigation when caching reusable
work or moving request-time work behind a focused boundary makes the
destination's available App Shell commit immediately. When that App Shell is
already instant and the goal is to fetch additional URL-specific content
before the click, hand off to next-partial-prefetching-optimizer.
Make the most meaningful available App Shell UI commit immediately, and let
only genuinely request-time work stream afterward. The shipped test
deterministically encodes present ∧ instant. Non-blank is the additional
bar the workflow enforces by judgment because an instant() pass alone is
satisfied by an empty shell.
instant() is a ruler, not a stopwatch: assert that the shell appears under
the lock; do not time it. A trustworthy verdict requires a production build
(phase A).
The GREEN under the lock is the deterministic verdict; each gate keeps it trustworthy.
This loop is meant to run unattended, so it doesn't stop to ask between steps. Work the navigation the user named, finish it, and stop. What matters is how you word and present the results, not how often you interrupt. The mechanics below — the rig, RED, GREEN, the gates — are your scaffolding; the user never needs to hear those words.
<Suspense> (always fresh, still instant) rather than
guess a cacheLife.- [ ] P PREREQS Next.js 16.3+ with cacheComponents: true; upgrade first → below
- [ ] 0 SETUP once per repo: discover + write instant-nav.rig.md → rig-template.md
- [ ] A RIG production build with the testing API exposed → below
- [ ] B BASELINE unlocked: the marker renders for the test user → test-template.md
- [ ] C RED locked instant(): the shell does not commit → test-template.md
- [ ] C-gate VERIFY-RED: stop until the RED is trustworthy → reference/red-test-robustness.md
- [ ] D FIX apply the matching documented pattern → guide links below
- [ ] D1 reuse existing loading UI; keep the shell meaningful
- [ ] D2 preserve layout and responsive behavior
- [ ] E PARITY the refactor changed only whether the route is instant
- [ ] F DIFFERENTIAL revert only the fix → RED; re-apply → GREEN → reference/red-test-robustness.md
- [ ] G REVIEW PR checklist (below)Phases B and C build the test; only the locked test from C ships.
The workflow depends on framework capabilities that ship with current Next.js:
cacheComponents: true in next.config.ts. Without
Cache Components there is no static shell to optimize.@next/playwright on the same release line as the project's next; it
provides instant(). Verify with npm ls next @next/playwright (or the
project's package manager) and align them if they differ. The matching
testing API is in the next runtime, gated by the
experimental.exposeTestingApiInProductionBuild
config flag (phase A).If the project does not meet these, upgrade first (npx @next/codemod upgrade
automates most of it), then enable Cache Components in next.config.ts:
export default { cacheComponents: true }Enabling the flag surfaces the blocking routes to resolve first; the
next-cache-components-adoption
skill drives that adoption. Reach for this optimizer once the app builds under
Cache Components.
This gate is deliberate: the skill targets current Next.js, and none of the verdicts below are meaningful on older versions.
The principles in this skill are fixed; the infrastructure they run on is
yours. On first use in a repository, discover how the project builds, deploys,
authenticates, and tests (inspect the repository first, and ask the user only
what it cannot answer), then write the answers to a committed
instant-nav.rig.md. Every later run reads that file instead of
rediscovering. The required build, test context, navigation contracts,
iteration loop, and file template are in rig-template.md.
If the repo has no Playwright e2e harness yet, standing up a minimal one
(@next/playwright, a config with baseURL, one authenticated path) is part
of this step; the loop does not assume a pre-existing suite.
Stand up the rig described by instant-nav.rig.md. Two invariants hold on
every platform:
Never measure on next dev. It does not prefetch, and its lock is
unreliable for blocking routes, so a dev instant() result is not a valid
RED or GREEN.
The measured build must expose the testing API. Otherwise instant()
silently no-ops and the test passes vacuously (see
reference/red-test-robustness.md). The lock-engagement proof is the phase-C
RED itself: the unfixed target route is the known-blocking route, and its
RED under the lock shows the lock engages on this build (C-gate); the
self-validating variant in test-template.md is the in-band guarantee. Wire
experimental.exposeTestingApiInProductionBuild to a condition that is true
for every build you measure and never true in production:
experimental: {
// Use the condition your platform provides, and record it in the rig file:
// local: an explicit opt-in, as below
// generic CI: process.env.DEPLOY_ENV === 'staging'
// Vercel: process.env.VERCEL_ENV === 'preview'
exposeTestingApiInProductionBuild:
process.env.EXPOSE_TESTING_API === '1',
}The rig is any production-like build that exposes the testing API: a local
next build && next start, a CI/staging container, and a preview deploy are
all equally valid; the verdict comes from the build, not the platform. See
rig-template.md for the setup requirements.
For any deployed or remote build, poll the rig's LIVENESS probe to confirm the
artifact contains HEAD before trusting a verdict (a stale deploy reads as a
false RED or GREEN); a local next build && next start needs none. The probe
mechanism is in rig-template.md.
Drive the real navigation with no instant() lock and assert that the
destination's SHELL_MARKER renders as the test user: the account the
e2e suite authenticates as (in CI, the CI account; locally, your e2e login
fixture), with its flags, plan, role, and data. This establishes that the
marker is real and reachable: not flag-gated, not redirected away, not a
guessed selector. The suite runs as the test account, not the author's session;
that environment drift (the rig DRIFT list) is a common source of
untrustworthy REDs. Scaffold and run command: test-template.md.
Delete this baseline before the PR.
Wrap the same navigation in instant(); assert the shell commits under the
lock. A RED here is the gap. This is the test that ships
(test-template.md).
Assert the complete intended contract: meaningful shell markers and existing loading states are visible, request-time UI is absent under the lock, and the completed UI renders after release. Do not change an existing data source, production selector, or required route variant to make the test easier. A required contract may not be skipped or weakened.
Prefer the self-validating variant when the route has deferred content. If the
route cannot build while blocked, or a cookie/session read stays GREEN, use the
RED recipes in reference/red-test-robustness.md.
C-gate: do not start optimizing until the RED is verified trustworthy. A RED that is red for the wrong reason sends you optimizing a route that was never broken.
The question that settles it: does SHELL_MARKER render without the lock,
as the test user? Answer it by re-running phase B as the test user, not by
adding assertions to the shipped test. The two-branch resolution (No → marker
or environment bug; Yes → genuine gap, proceed to D), the full taxonomy of
untrustworthy REDs, the checklist, and worked cases are in
reference/red-test-robustness.md. Read it now.
Use the Optimizing the static shell guide you read at the start. Follow the section that matches the blocker instead of duplicating its framework guidance here:
| Blocker | Guide pattern |
|---|---|
| Stable UI is hidden by a broader loading state | Keep static UI in the shell |
| A layout or page awaits request-time data too high in the tree | Push data access down |
| New or moved boundaries need useful, stable fallbacks | Design loading states |
| A result can be safely reused across requests | Cache reusable work |
The guide's example covers the common implementation shapes:
params, searchParams, and focused boundariescookies(), and headers()Preserve the route's existing data source, freshness, authorization, and completed behavior. Do not replace a mutable read with a build-time import to make it appear static. Cache the existing read when it can be reused. Stream it when it must be computed for each request.
If development or a build surfaces another instant-navigation Insight during the refactor, follow validation as you refactor and then the canonical Insight it provides. This is especially important for API-specific blockers such as metadata, viewport, and nondeterministic values.
Reuse existing loading UI and keep the resulting shell meaningful at every supported breakpoint. An empty fallback is valid only when the resolved component also has no visual footprint.
If the optimization adds or expands a cache boundary, follow
Revalidating. When a
writer can change the cached data, populate the cache, perform the mutation,
and verify that the next read returns the updated value. instant() proves
readiness, not mutation freshness.
Do not use export const instant = false, weaken the contract, or ship an
empty document shell as the optimization.
D-gate: phase D is complete when the locked test from phase C passes GREEN under the lock on the production-build rig, not when the code compiles. That GREEN is the deterministic stop for the fix loop; proceed to E.
If URL-specific content is the only missing instant UI, stop at Include
URL-specific content in the instant
UI
and hand off to next-partial-prefetching-optimizer.
The push-down is a mechanical transform, not a redesign. Afterward the route must render the same tree, data, ordering, empty and error states, redirects, and interactions as before; the only observable difference is that the shell now commits instantly. Verify:
awaits compute and return the same
values; after the stream, the route shows the same content as the base
branch for the test user.redirect() or notFound() still
happens at request time. Confirm unauthorized and missing-record behavior.
If the route must preserve an HTTP status, account for streaming status-code
behavior.If anything other than whether the route is instant changed, reduce the refactor.
Revert only the fix → RED; re-apply → GREEN; link both runs
(reference/red-test-robustness.md). Every contract intended to distinguish
the optimization must be RED after the revert and GREEN after the re-apply. On
a deployed rig, confirm each run is live (LIVENESS, phase A) before trusting
its color.
After the final re-apply, run the complete in-scope command from the rig. A filtered subset, a written command, or a suite with a required test skipped is not final GREEN.
A green final state means nothing if the RED was never trustworthy. The
test-trustworthiness items are the robustness checklist
(reference/red-test-robustness.md); confirm them, then require these
PR-specific items:
Stop condition for the whole workflow: the locked test from C is GREEN on the rig, the differential (F) holds, and every item above is checked. Until all three hold, you are not done.
<Link> click. Initial load → use
page.goto() inside instant() with the baseURL option. Do not substitute
goto for a soft-nav verdict; the two contracts can differ
(test-template.md).rig-template.md: phase 0 production build, test context, navigation
contract, and unattended loop discovery.test-template.md: the shipped instant() specs for both navigation
types (phase C), and the delete-before-PR baseline scaffold (phase B).reference/red-test-robustness.md: the C-gate and phase F. The taxonomy of
untrustworthy REDs, the checklist, the differential recipe, the vacuous-pass
failure mode, and worked cases.Once the target routes are instant, check whether the app has already adopted
Partial Prefetching (partialPrefetching: true, or the relevant destination
still uses prefetch = 'partial' during an incremental rollout).
Make that check mechanically:
rg -n "partialPrefetching|prefetch\s*=\s*['\"]partial['\"]" --glob 'next.config.*' --glob 'app/**' --glob 'src/app/**'If partialPrefetching: true is in config, the app is globally adopted. If only
prefetch = 'partial' matches, treat those destination segments as adopted
during an incremental rollout and keep checking any other target routes.
next-partial-prefetching-optimizer. It owns the per-link value and cost
decision.next-partial-prefetching-adoption.
That skill moves the app onto the better prefetching model: shared App Shell
prefetches by default, fewer duplicated full-prefetch requests for visible
links, a link audit for existing <Link prefetch={true}> usage, and optional
per-link prefetching only where URL-specific content is worth the
extra server work.© vercel, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files in skills/next-cache-components-optimizer of vercel/next.js.
Open the folder on GitHubat commit a32ddfd
Next Cache Components Optimizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Next Cache Components Optimizer this skillvercel/next.js | 143k | — | ~5.8k | Automated safety check: Pass | MIT | |
| Next Cache Components Optimizersanity-io/ui | 176 | 6 repos | ~6.3k | Automated safety check: Pass | MIT | |
| Proxy Setupasmyshlyaev177/test-proxy-recorder | 112 | — | ~4.3k | Automated safety check: Pass | MIT | |
| Tanstack Startasmyshlyaev177/test-proxy-recorder | 112 | — | ~2.9k | Automated safety check: Notes | MIT | |
| Senior QAalirezarezvani/claude-skills | 28k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Senior QAborghei/Claude-Skills | 881 | — | ~1.6k | Automated safety check: Pass | MIT |
sanity-io/ui
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation).
asmyshlyaev177/test-proxy-recorder
Set up test-proxy-recorder for any Playwright project. An agent skill from asmyshlyaev177/test-proxy-recorder.
asmyshlyaev177/test-proxy-recorder
Record and replay TanStack Start SSR with test-proxy-recorder.
alirezarezvani/claude-skills
Generates unit tests, integration tests, and E2E tests for React/Next.js applications.
borghei/Claude-Skills
Testing for React/Next.js with Jest, React Testing Library, and Playwright.
anthropics/skills
Tests local web applications with Python Playwright scripts, checking frontend behavior, capturing screenshots and reading browser console logs.
vercel/next.js
Manages stacked PRs and splits multi-part work into reviewable branches with gh-stack.
vercel/next.js
Benchmark React or Next.js changes on Vercel Sandbox VMs with paired A/B statistics: react PR/commit vs base, or Next.js PR/commit vs base, measured end-to-end through the bench/render-pipeline app…
vercel/next.js
Verify Next.js runtime behavior after editing app code. An agent skill from vercel/next.js.
vercel/next.js
Draw diagrams for the Next.js docs in the style of the ones already published there: the light/dark PNGs an mdx references with <Image srcLight="/docs/light/<name.png" srcDark="/docs/dark/<name.png".
vercel/next.js
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces.
vercel/next.js
Build local React changes in the bundle variants consumed by Next.js, sync them into a local Next.js checkout, and test the resulting integration.
Works with
Categories
Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). js, published by the product's own GitHub organization.js route on an initial load (hard navigation) or named client-side navigation (soft navigation).
Next Cache Components Optimizer fits situations like: asked to grow a static shell; fix a slow first paint; non-instant navigation; diagnose which Suspense boundary blocks useful UI.
Run `npx skills add vercel/next.js --skill next-cache-components-optimizer -a claude-code`. Or copy the skill folder (skills/next-cache-components-optimizer in vercel/next.js) into .claude/skills/next-cache-components-optimizer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add vercel/next.js --skill next-cache-components-optimizer -a codex`. Or copy the skill folder (skills/next-cache-components-optimizer in vercel/next.js) into .agents/skills/next-cache-components-optimizer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vercel/next.js --skill next-cache-components-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/next-cache-components-optimizer, .gemini/skills/next-cache-components-optimizer, .github/skills/next-cache-components-optimizer and .opencode/skills/next-cache-components-optimizer in your project.
Going by SKILL.md and its folder, Next Cache Components Optimizer needs the command-line tools its instructions call (rg, npm and npx). Our summary lists: Node.js.
SKILL.md names 1 domain. As links in the text: nextjs.org. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Next Cache Components Optimizer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 5.8k tokens (SKILL.md is roughly 23k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Next Cache Components Optimizer: Next Cache Components Optimizer (sanity-io/ui, 176 stars), Proxy Setup (asmyshlyaev177/test-proxy-recorder, 112 stars), Tanstack Start (asmyshlyaev177/test-proxy-recorder, 112 stars) and Senior QA (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
vercel (a GitHub organization, an official publisher) maintains it in vercel/next.js, which has 143,241 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on October 8, 2026.
Source: vercel/next.js on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.