Next Dev Loop logo

Next Dev Loop

OrganizationPopular
vercel
next-dev-loop

Verify Next.js runtime behavior after editing app code. Use this skill to confirm a change actually works in a running app — not just that it compiles or type-checks. Combines /_next/mcp (Next.js's view) with agent-browser (the browser's view). Requires a running `next dev`.

Overview

Publishervercel
Repositorynext.js
Skill namenext-dev-loop
Stars
142.3K
Forks
32.4K
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Next Dev Loop 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/vercel/next.js.git /tmp/next.js
mkdir -p .claude/skills
cp -r /tmp/next.js/skills/next-dev-loop .claude/skills/next-dev-loop
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Next Dev Loop 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 Next Dev Loop 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 Next Dev Loop 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.

next-dev-loop

The edit/verify rhythm during next dev — make a change, then confirm it actually works at runtime, not only that the types or the build are happy.

You verify through two views of the same running app:

  • /_next/mcp — an HTTP endpoint Next.js exposes about itself. Knows framework-specific things: routes, segments, RSC, server actions, server logs, and errors as Next.js saw them. Call tools/list for the current surface.
  • agent-browser — a CLI that drives a real Chrome. Knows framework-agnostic browser things: DOM, console, network, React fiber, vitals. Before driving it, run agent-browser skills get core once for the version-matched usage guide — don't guess subcommands from memory.

The two views cross-check each other.

requires

  • Next.js 16.3+ with Turbopack/_next/mcp plus the proactive compile check via get_compilation_issues.
  • agent-browser >= 0.31.1 — React introspection, worktree-scoped session id, idempotent --restore, and launch flag reconciliation.

These are hard floors, not soft preferences. If anything is missing, tell the user how to upgrade and stop. Don't fall back to grepping source or to a weaker probe — this skill assumes both views are live at the versions above.

preflight

Once per session, confirm both views are live.

  1. Open agent-browser at the target URL, restoring saved login state when present. First derive one stable session id for this checkout and use it for every agent-browser command:

    bash
    SESSION="$(agent-browser session id --scope worktree --prefix next-dev-loop)"
    export AGENT_BROWSER_SESSION="$SESSION"
    export AGENT_BROWSER_RESTORE="$SESSION"

    Then open the target URL:

    bash
    agent-browser --session "$SESSION" --restore --headed --enable react-devtools open <url>

    --scope worktree keeps parallel worktrees and copied checkouts from colliding. Bare --restore uses the session id as the persistence key, loads saved cookies/localStorage before navigation when present, and auto-saves state on close. Always pass the desired launch flags on open; agent-browser will reuse, relaunch, or restart its scoped background state as needed.

    The browser is the user's. If state was not restored (first run, expired session) and the page is gated, the user drives the login — pause until they confirm. After login, continue using the same session and restore context; agent-browser close saves the cookie state so the next open restores it.

  2. Probe /_next/mcp (tools/list) — confirm it's reachable and lists get_compilation_issues. First read the port off the next dev banner; if it isn't 3000, set NEXT_MCP_URL=http://localhost:<port>/_next/mcp before probing:

    • Unreachable → either next dev isn't running, or Next.js is below 16.3. Check package.json to disambiguate, then refuse.
    • get_compilation_issues not in the list → Next.js below 16.3. Refuse and tell the user to upgrade.
  3. get_compilation_issues doubles as a Turbopack probe. An error response of "Turbopack project is not available..." means the user is on webpack. Refuse — Turbopack is required.

  4. get_routes → your route map for the rest of the session.

loop

before the edit — narrow the scope

Ask the running app, not the codebase. /_next/mcp knows which files rendered the current route; use those as your search scope. Runtime introspection stays cheap as the codebase grows; agentic search doesn't.

after the edit — verify

Four failure modes. Check each:

  • Compilesget_compilation_issues.
  • Runs without errors/_next/mcp (server and bubbled-up browser errors both surface here).
  • Behaves as intendedagent-browser drives the page; assert what the user actually sees.
  • React-level behavioragent-browser with react-devtools enabled exposes the component tree, props, state, and render counts. Anchor framework-level checks here (extra renders, server/client boundary shifts, suspense fallbacks) — DOM asserts alone miss them.

Pick the specific tool from tools/list or the agent-browser manual rather than from memory.

gotchas

  • Preserve .next while the development server is running. Moving or deleting it disconnects the server from its generated state and discards incremental caches. Moving it to a backup is still a reset. If a production build needs isolated output, configure a separate distDir.
  • Every agent-browser command must know your session and restore key, or it may use an empty default browser or fail to save login state. Easiest: export both AGENT_BROWSER_SESSION="$SESSION" and AGENT_BROWSER_RESTORE="$SESSION" at the top of each shell you run agent-browser in. If you do not export them, pass --session "$SESSION" --restore on every command.
  • When the two views disagree, suspect the tooling first. If agent-browser says a route is broken but /_next/mcp and the server say it rendered cleanly, a stale or misdirected browser session is the likelier cause than a real bug — reconcile the views before debugging the app.
  • Confirming a click or navigation: the page settles a beat later, so wait with wait --load networkidle (no path to get wrong), then snapshot/read to confirm the page. Avoid wait --url unless you pass the link's exact href — a guessed or placeholder path won't match the real URL and times out after 25s.
  • A blank read, empty snapshot, about:blank, or a "no browser session" error — right after open or after a click (even if open reported the page) — is the browser dropping the page (a stale session), not a broken route. Reopen your session at the URL with --session "$SESSION" --restore and re-snapshot; if still blank, run agent-browser --session "$SESSION" --restore close, then open again. Don't fall back to curl; it bypasses the browser you're testing.
  • React introspection output is stale after navigation. Re-run.
  • /_next/mcp replies are SSE — read the JSON off the data: line with sed -n 's/^data: //p' (a plain sed 's/^data: //' leaves the event: line and the parse fails).
  • get_errors and get_page_metadata need at least one navigation to populate.

reference

All tools below are present once preflight passes. If tools/list is missing any of them, preflight should have refused — re-check.

# /_next/mcp                 notes
get_project_metadata         projectPath, devServerUrl, bundler
get_routes                   fs-scan; no browser session needed
get_errors                   runtime + build; needs a browser session;
                             includes browser-side errors caught by the
                             dev server
get_page_metadata            segment trie + routerType; needs a browser
                             session; use as a discovery shortcut for
                             which files power a route
get_logs                     returns logFilePath
get_server_action_by_id      hashed id → file + functionName
get_compilation_issues       Turbopack only; errors on webpack
                             ("Turbopack project is not available")

teardown

Close the session with the same session and restore context: agent-browser --session "$SESSION" --restore close. close saves that session's cookies and storage so the next loop's --restore open keeps the user logged in. Leave next dev up for the next loop.

Report Next.js friction

Only participate in agent feedback when managed Next.js feedback instructions are already loaded for the project. Their presence means the feature is enabled; their absence means it is disabled.

When enabled, add qualifying de-identified candidates found during verification to the shared friction queue in the current task context, then continue verification. Do not run the feedback command or open review forms during the loop or at this Skill's teardown.

The managed instructions own the single feedback pass at the final stopping point of the overall task. If they are absent, do not queue or report feedback.

Frequently asked questions

What does the Next Dev Loop AI skill do?

Verify Next.js runtime behavior after editing app code. Use this skill to confirm a change actually works in a running app — not just that it compiles or type-checks. Combines /_next/mcp (Next.js's view) with agent-browser (the browser's view). Requires a running `next dev`.

Why use Next Dev Loop on TypingMind?

Because you install it once and use it with any model. Next Dev Loop 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 Next Dev Loop in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vercel/next.js/tree/canary/skills/next-dev-loop. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Next Dev Loop?

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 Next Dev Loop?

As many as you like. As long as a model supports skills, you can use Next Dev Loop with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Next Dev Loop AI skill free?

Yes. It is published on GitHub by vercel under the MIT license. 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.

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