Visual Edit logo

Visual Edit

OrganizationPopular
BuilderIO
visual-edit

Open a running local app in Design overview mode as URL-backed iframe screens for visual editing, flow review, duplication, and route-state exploration. Use when the user asks to inspect, compare, or edit a real local app visually in Design.

Overview

PublisherBuilderIO
Repositoryskills
Skill namevisual-edit
Stars
4.3K
Forks
211
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 BuilderIO on GitHub. Read the source before you install it.

Installation

Install the Visual Edit 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/BuilderIO/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/visual-edit .claude/skills/visual-edit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Visual Edit 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 Visual Edit 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 Visual Edit 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.

Visual Edit

Use /visual-edit when the user wants to inspect or edit a real local app visually instead of generating standalone Alpine HTML. The source of truth is the running localhost app plus its route URLs. Design shows those routes as iframe-backed screens on the infinite canvas.

Installation

npx @agent-native/core@latest skills add visual-edit installs the skill and hosted Design MCP connector. npx skills@latest add BuilderIO/agent-native --skill visual-edit installs instructions only; page-capable WebMCP hosts need no connector installation.

Put Design Beside The Chat

Prefer the interactive MCP App returned by open-visual-edit when the coding host renders it. The user gets the Design canvas beside the conversation, and Apply design updates can submit the bounded source-edit handoff back to the current host conversation through the standard MCP Apps message bridge. The host may ask the user to confirm the current conversation or choose a new one.

Otherwise, openUrl is a credential-free, read-only fallback that is safe to show in model text or retain in logs. Do not claim that fallback is editable: the edit capability is intentionally available only to the host-managed MCP App launcher, where it is hidden from the model and redeemed once.

  • In Codex Desktop, Claude Desktop, and other hosts with an inline browser, prefer that surface. In VS Code use its Design webview/deep link. If no inline surface exists, return the normal Open design link.

Prefer the MCP App surface for a connected Design plugin, then the host's browser/preview tool as the universal fallback. Keep the canvas beside chat when the host supports rearrangeable panes.

ChatGPT, Claude Desktop, and other hosts with an inline browser should open the Design surface in that browser by default. Use an external browser only when the user asks for it or the host has no inline browser. The page exposes its Design actions through WebMCP, so no MCP connector installation is needed for a host that can call page-local tools.

Inside Design, use Show/Hide UI from the Cmd K menu or press Figma's Shift \ shortcut to toggle all editing chrome so only the canvas remains. The same action is available from Design's empty-canvas context menu.

Core Model

  • Each screen is a URL-backed iframe, not copied HTML.
  • Each screen keeps URL metadata: connectionId, routeId, path, url, bridgeUrl, title, and viewport size.
  • Localhost Edit mode renders the running app through the local bridge as a live iframe with the same editor bridge used by HTML designs. It is never a frozen static DOM snapshot. Editing is direct DOM manipulation against that live document; the parallel /snapshot fetch feeds the editable source model only and must never be rendered in the frame.
  • The /visual-edit skill needs no Design account sign-in. open-visual-edit mints a five-minute, single-use capability for the exact /visual-edit/:designId local-editor route. The MCP host redeems it outside model-visible text, then opens the existing editor with localhost edit access. This capability is not an account session: /_agent-native/session remains signed out, and account-backed save/share/generate actions remain denied.
  • The editor page registers a stable page-local WebMCP tool named get-visual-edit-prompt. Call it after canvas edits to retrieve the latest bounded source instructions instead of copying stale chat text. It returns status: "empty" when there is nothing to apply. If a previous editor session ended with unapplied edits, it returns status: "session-ended" with the pending count; status: "unknown" means the session marker could not be read and must not be treated as an empty result.
  • The open-visual-edit action is owned by Design. From another app such as Clips, invoke it through the connected Design MCP server at https://design.agent-native.com/mcp (or the editor page's WebMCP helper), not pnpm action in the target app: that local action registry does not contain Design actions. Without an account session, it uses a workspace-scoped principal only inside the CLI call; HTTP, MCP, and tunneled callers cannot select it.
  • Public links are always read-only, including on loopback. Loopback peer identity is not an authentication boundary because a tunnel or reverse proxy can make a remote request appear local. A bare /visual-edit/:designId or /design/:designId URL carries no capability and must never release the connection's previewToken.
  • The live editor is same-origin through the local bridge proxy. This boots CSR apps and root-relative assets, but it is still a localhost editing proxy: app-origin cookies, WebSockets/HMR, SSE, and non-GET app API calls may need a future dev-server/plugin integration for perfect parity with the app's own origin.
  • The canvas is the editing view; Interact runs the normal URL with rails and a device bar. Interact preserves navigation, scrolling, links, and controls; the canvas pans/zooms and suppresses native frame interaction.
  • While a localhost screen has pending live visual edits, do not switch back to Interact until the user either applies the edits to source or explicitly aborts/discards the preview.
  • Alt-drag duplicates a localhost frame and its URL metadata. Change the copy's path/query for another state; preserve the order of named or numbered flows. Shorthand like localhost:1234/onboarding/1 means http://localhost:1234/onboarding/1.

Useful Canvas Sets

Use a focused batch of 3-7 frames by default: one ordered frame per requested route/query state, repeat routes at requested desktop/tablet/mobile viewports, and include URL-addressable empty, loading, error, modal-open, or selected-item states. Keep the Screens section readable so Layers remains useful while editing. Do not expand beyond 7 frames unless the user explicitly asks for an exhaustive audit or a complete route inventory.

Do not expand every discovered route or every viewport unless the user asks for an exhaustive audit. Preserve the user's labels and sequence so the canvas reads like the workflow they described.

Select And Reprompt

When a chat message begins with [Reprompt selection], the selected subtree is a hard write boundary. The only mutation path is propose-node-rewrite with the exact repromptId, target, and baseVersionHash captured in design-reprompt-pending:<designId>:<fileId>. Never use apply-visual-edit, apply-source-edit, write-source, write-local-file, edit-design, or any other content-writing action for that request. Clarifying questions are allowed, but a requested change must remain a proposal.

Produce one variant by default. Produce two or three only when the instruction asks for options. A retry includes priorProposalId; keep the same target and base version, incorporate the feedback, and call propose-node-rewrite again. The UI previews the returned subtree without persisting it.

Use resolve-node-rewrite for the accept/reject lifecycle. Accept applies the chosen variant as one version-checked inline/Yjs content transaction so one undo restores the prior structure; reject clears the proposal without changing content. For conversational resolution such as "apply the second one," call view-screen, read the active design.reprompt.proposal, and pass its proposalId plus the zero-based variantIndex to resolve-node-rewrite.

Review Quality

Treat the running app as truth, preserving its component language, tokens, route state, and content. Compare visual edits before/after at requested viewports and check meaningful URL, hover, focus, scroll, and modal states.

Account And Sharing Model

  • The capability permits live iframe inspection, session-local edits, undo/redo, Apply design updates, and Copy prompt. These hand bounded source instructions to the coding agent; they do not persist account-owned Design data.
  • Public /design/:id links stay read-only without a signed-in owner/editor session. Never use the local capability to upgrade that ordinary sharing surface.
  • Prefer links returned by Design actions or /_agent-native/open deep links; never surface _session= tokens or hand-build capability URLs.
  • Do not attempt account-backed write actions with the browser capability. The trusted local open-visual-edit CLI call may register its bridge, create or reuse its workspace-owned local design, and place screens without an account. Direct source-file action writes, generation, saving into an account, and sharing still require an authenticated action caller. If a signed-out visitor wants those durable account operations, send them through the framework sign-in return flow first.

Required Local Bridge

The live-edit bridge is unlocked by a shared secret (the "bridge token") that must match on two sides: the local bridge process, and the user's connection row in Design (which the browser reads to authorize /live-edit-bridge, /read-file, /write-file). Get them to match by letting the open-visual-edit action mint the token, then starting the bridge with it. This is the only ordering that works for the remote-MCP flow — the bridge cannot push its own token to the server without a CLI auth token, so the server mints instead and the bridge adopts.

From the target app repo, make sure its dev server is running, then:

1. Discover routes without starting a durable bridge (one-shot, exits):

bash
npx @agent-native/core@latest design connect --url http://localhost:5173 --root . --json

This prints the manifest (routes + capabilities). Parse it to build routeManifest for the next step. (Skip this if the user already gave explicit paths/URLs to place.)

Inside the agent-native monorepo itself, use the workspace CLI instead of npxnpx installs the last published @agent-native/core, which will not contain local changes and costs a slow install on every call:

bash
pnpm dev:cli design connect --url http://localhost:5173 --root templates/<app> --json

2. Call open-visual-edit (see Action Flow below) with NO bridgeToken. The server mints one, stores it on the user's connection row, copies it into the placed screens' metadata, and returns it to you as bridgeToken. Capture it.

3. Start the persistent bridge adopting that token (single line; prefer the env var so the secret does not appear in ps):

bash
AGENT_NATIVE_BRIDGE_TOKEN="<bridgeToken from step 2>" npx @agent-native/core@latest design connect --url http://localhost:5173 --root . --daemon

(Equivalently, pass --bridge-token <token>.) This starts a detached bridge on http://127.0.0.1:7331, adopts the server-minted token — so bridge and row agree and live-edit authorizes with no self-registration — and stays alive after the command exits.

For a manual health/manifest check on the running bridge:

bash
curl http://127.0.0.1:7331/health

/health needs no token. The full manifest at /manifest.json is preview-token protected, so an unauthenticated curl of it returns {"ok":false,"error":"invalid or missing preview token"} — that response means the bridge is up, not that it is broken.

Only use --json for the step-1 route probe. Never use --json, --once, or --dry-run for the durable step-3 bridge: they print the manifest and exit, so Design falls back to a non-editable live iframe.

The bridge listens on a single fixed port (7331) and refuses to start for a second, different app. It is detached with no log file, so if --daemon reports a timeout, check for a stale process (lsof -ti:7331) before retrying.

If local Design uses PGlite, never invoke the in-process CLI against that server: both open the same directory and the second owner is rejected. For a signed-out local test, start Design with AUTH_DISABLED=1, open /visual-edit, and call the server-action open-visual-edit through window.__agentNativeWebMcp after it registers. This keeps one PGlite owner; get-visual-edit-prompt is only the post-edit handoff. With auth enabled, sign in to hosted Design MCP or use shared Postgres before using the CLI action.

Action Flow

When a real Chrome browser is available, start the target app's local Design bridge first, then call the Design page's own open-visual-edit WebMCP tool directly in the signed-in Design tab. It uses that tab's session, so no hosted MCP connector, OAuth flow, or synthetic CLI user is needed. The page action reuses the running bridge and intentionally omits bridge credentials; it cannot spawn or retoken a local process. If no matching bridge is running, use the headless ordering in Required Local Bridge once, then retry the page tool. Use the connected Design MCP path below for headless hosts or older builds.

From another app, call the connected Design MCP tool mcp__agent-native-design__open-visual-edit with the JSON arguments below. It registers or refreshes the localhost bridge, mints and stores the bridge token, creates or reuses a Design project, places URL-backed screens, stores visual-edit context, and navigates to overview mode in one call. Never run pnpm action from the target app's checkout: its local registry does not contain Design actions.

Call it BEFORE starting the durable bridge (step 3 above): it does not contact the bridge, so the bridge need not be running yet, and you need its returned bridgeToken to start the bridge with a matching secret. Omit bridgeToken on the call so the server mints one.

json
{
  "title": "Docs homepage visual edit",
  "devServerUrl": "http://localhost:5173",
  "bridgeUrl": "http://127.0.0.1:7331",
  "rootPath": "/absolute/path/to/app",
  "routeManifest": { "...": "from /manifest.json" },
  "paths": ["/", "/pricing", "/checkout?step=payment"]
}

The action returns designId, connectionId, bridgeToken, screens, urlPath, and a credential-free openUrl. Its MCP App metadata separately carries the one-time editor launcher so the host can redeem it without showing the capability to the model or retaining it in the action link. Keep designId/connectionId in the chat context for follow-ups, and pass bridgeToken to design connect (step 3) to start the bridge. On follow-up calls reusing an existing connectionId, the same token is returned (it is minted once and reused), so the running bridge stays valid.

Desktop and mobile side by side

Pass viewports to place every requested route once per viewport. Frames lay out as a grid: one row per route, one column per viewport. Presets are desktop (1280x900), laptop (1440x900), tablet (834x1112), and mobile (390x844); an explicit { "label": "...", "width": N, "height": N } also works.

json
{
  "title": "Tasks responsive visual edit",
  "devServerUrl": "http://localhost:5173",
  "bridgeUrl": "http://127.0.0.1:7331",
  "rootPath": "/absolute/path/to/app",
  "paths": ["/tasks", "/inbox"],
  "viewports": ["desktop", "mobile"]
}

Prefer this over two separate calls with defaultWidth/defaultHeight: it keeps each route's viewports aligned in a row and titles them Tasks — Desktop / Tasks — Mobile so the canvas reads clearly. viewports overrides defaultWidth/defaultHeight. With no routes/paths, it expands every route in the localhost manifest, which is usually far more frames than the user wants — name the paths.

Managing screens and breakpoints manually

Select a screen and use the right-rail Screen section to switch between Static HTML and URL-backed modes, edit its route/path, choose a localhost connection, add another URL screen, or remove the selected screen. URL mode keeps the iframe live; switching to Static stores a sanitized snapshot of the current frame, including its current client state when the page can provide it. The same operations are available to a page-capable agent through add-localhost-screens, update-screen-source, add-breakpoint, and remove-breakpoint.

Adding more page frames later

Call open-visual-edit again with the same designId and connectionId and only the new paths. Existing frames for the same route and viewport are refreshed in place rather than duplicated, and a frame the user has dragged or resized keeps its position unless you explicitly pass x/y/width/height.

json
{
  "designId": "<existing-design-id>",
  "connectionId": "<existing-connection-id>",
  "devServerUrl": "http://localhost:5173",
  "paths": ["/settings", "/team"],
  "startY": 2200
}

Do NOT add defaultWidth/defaultHeight just to restate the default size: supplying either one marks the viewport as explicitly requested, which overwrites frame sizes the user has already adjusted on the canvas.

For a numbered flow the user describes in chat, keep the labels and order:

json
{
  "designId": "<existing-design-id>",
  "connectionId": "<existing-connection-id>",
  "devServerUrl": "http://localhost:1234",
  "routes": [
    { "url": "localhost:1234/onboarding/1", "title": "Screen 1" },
    { "url": "localhost:1234/onboarding/2", "title": "Screen 2" },
    { "url": "localhost:1234/onboarding/3", "title": "Screen 3" }
  ]
}

If no routes or paths are supplied, open-visual-edit uses every route from the localhost manifest.

Fallback, only when open-visual-edit is unavailable:

  1. Register or refresh the bridge with connect-localhost, passing the /manifest.json result as routeManifest and capabilities.
  2. Create or reuse a Design project with create-design.
  3. Place URL-backed screens with add-localhost-screens.
  4. Navigate to overview mode with navigate.

Open The Design Surface

  • Use the link, deepLink, or MCP App embed returned by Design actions so the user sees the canvas. Prefer the MCP App; its host launcher carries the one-time capability. The credential-free openUrl is read-only fallback.
  • Never return or open a hand-built /design/:id?_session=... URL.
  • If the user is working in VS Code, the Agent-Native extension can open the same URL via vscode://builder.agent-native/open?url=<encoded-design-url>. Its Agent-Native: Open Design Canvas command also starts the local bridge and opens hosted Design in the VS Code side panel.
  • Once open-visual-edit returns the expected screenCount, hand back the link and stop. Do not open it yourself in a browser-automation tool to screenshot or poll until it renders — a cold dev server can take 10-30s regardless of who's watching, and that wait adds nothing the response didn't already confirm. Reach for browser automation only if the user later reports the canvas is broken.

Applying Visual Edits Back To Source

Canvas edits on a localhost screen do not write source as you make them. They accumulate as pending edits and the editor shows an Apply design updates button on the canvas. In an MCP App, clicking it hands the bounded structured prompt to the current host coding conversation. In an ordinary browser or standalone Design page, it falls back to the local Design agent. The dropdown's Copy prompt to your agent action is the universal manual fallback.

When the page detects ChatGPT, Claude, or a WebMCP host, that copy action uses the short instruction Call the get-visual-edit-prompt WebMCP tool and apply the returned instructions. The primary Apply button sends the same pending batch to the host turn when the host bridge is available. In a normal browser, the copied text remains the detailed source handoff.

  • Style, text, and drag/drop structure edits all collect into the same pending batch, so the user can make several changes and apply once.
  • After the write lands, the target app's own dev-server HMR refreshes the frames — no manual reload. If frames do not refresh, the write did not land; say so rather than assuming.
  • The separate disk-icon "Apply to source" button is the deterministic whole-file HTML/CSS writer. It is intentionally disabled for compiled .jsx/.tsx routes — those must go through the agent path above.

Editing URLs

Keep localhost screens as URL files plus screenMetadata[fileId]. Do not replace them with copied srcdoc HTML unless the user explicitly asks for a frozen snapshot. To change a state, rerun open-visual-edit with the new path/query, use the Screen settings section, call update-screen-source, or duplicate the screen and update the copy's URL metadata.

Local Files in the Code Tab

Once a connection is registered, the design editor's Code panel (left rail → Code, or navigate --view editor --designId <id> --leftPanel code) shows a local-files workspace root for that connection next to the design's own files. Treat that root like VS Code opened at the connected project directory: file tree, search, open/edit, and save are backed by the real local files. It lists the connected app's text/code files through the bridge (list-local-files / read-local-file); build output, node_modules, .git, and secret-looking paths (.env*, key files) are always excluded.

  • Browsing and reading need only editor access on the design plus the running bridge.
  • Saving goes through write-local-file: the first save opens the write-consent dialog (an 8-hour, folder-scoped grant) and retries automatically once granted. Only text/code files are writable; secret paths are always blocked.
  • If the agent calls write-local-file directly (not through a UI save) and it fails with "no write-consent grant", call request-localhost-write-consent. It opens the write-consent dialog in the editor, or reports alreadyGranted if one already exists. Granting is human-only — grant-localhost-write-consent is hidden from agents, so you cannot approve it yourself. Tell the user to click "Allow writes", then retry write-local-file once. Do not keep retrying blindly: the write stays blocked until the user approves.
  • Saves are conflict-checked against the file's on-disk version — a file that changed since it was read fails with a version conflict instead of being overwritten.

React Source Writeback

  • Use compiler/debug provenance (project-relative file, line, column, component, and runtime multiplicity) to locate React/TSX source. Treat it as evidence, not as permission for a generic AST structural transform.
  • Read positionPrecision on every anchor before you trust line/column. authored means those are the real JSX coordinates. transformed means they are the dev server's own output coordinates — React 19 removed _debugSource and exposes only an owner stack, so this is the normal case on a Vite/Next dev server, and the line will not match the file. unknown means no tier was reported. On anything but authored, use the file and component to find the element by its JSX shape and re-derive the line from the file you read; never edit at the reported line.
  • A single-instance leaf text edit, literal className/class edit, or flat literal style={{ ... }} property may use apply-visual-edit with a local-file source and a complete target.sourceAnchor. Forward the anchor's positionPrecision with it — the action refuses a transformed anchor with status: "needsAgent" instead of seeking to a line that means something else in the authored file. Preview first (omit persist), inspect proposedDiff, then call with persist: true.
  • Reparenting, grouping/ungrouping, wrappers, dynamic expressions, repeated .map() instances, shared components, breakpoint-scoped edits, and cross-file changes go through the coding agent with complete subject/target anchors and their runtime relationship. apply-visual-edit refuses these with status: "needsAgent" rather than guessing.
  • Before each write, read the file and pass its exact versionHash to write-local-file with requireExpectedVersionHash: true; on conflict, re-read and re-plan. Keep the optimistic preview until HMR/runtime confirms the result. Human write consent remains mandatory and agents cannot grant it.

Verification

For a plain "open this app" request, open-visual-edit's own response is the verification — see Open The Design Surface. Reach for the checks below only to diagnose an actual report, or to confirm an applied edit landed:

  • list-localhost-connections returns the expected connection and routes.
  • The Design editor opens in overview mode.
  • Every requested screen renders the intended localhost URL, showing real app content rather than an endless loading spinner.
  • The screen iframe carries a src, not a srcdoc. A localhost screen with a srcdoc is a bug, not a slow load — check it in the browser devtools before reporting the canvas as working.
  • Alt-dragging a screen copies the URL-backed frame, not an inline HTML clone.
  • A query/path edit changes only the target screen's URL metadata and iframe.
  • get-visual-edit-prompt returns the latest pending source handoff from the page without requiring a Design account.
  • The Code tab shows a local-files root for the connection and opens its files.

Frequently asked questions

What does the Visual Edit AI skill do?

Open a running local app in Design overview mode as URL-backed iframe screens for visual editing, flow review, duplication, and route-state exploration. Use when the user asks to inspect, compare, or edit a real local app visually in Design.

Why use Visual Edit on TypingMind?

Because you install it once and use it with any model. Visual Edit 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 Visual Edit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BuilderIO/skills/tree/main/skills/visual-edit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Visual Edit?

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 Visual Edit?

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

Is the Visual Edit AI skill free?

Yes. It is published on GitHub by BuilderIO 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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