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An

OrganizationPopular
BuilderIO
an

Open and operate Agent-Native workspace apps through Dispatch MCP, with inline app surfaces, browser-session authentication, and current screen state.

Overview

PublisherBuilderIO
Repositoryskills
Skill namean
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 An 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/an .claude/skills/an
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable An 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 An 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 An 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.

Agent-Native Apps

Use /an <app> to open an Agent-Native app beside the conversation and keep the app's live UI and the agent's actions in the same workflow. The first argument is the Dispatch app id. For example, /an slides opens the Slides editor. After it opens, the user can sign in in that browser surface and ask for new decks or focused edits in ordinary language.

Open the app

For a known app, call Dispatch's open_app with an inline surface:

json
{
  "app": "slides",
  "path": "/",
  "embed": true,
  "chrome": "full"
}

The MCP App response is the preferred handoff for Claude, Claude Desktop, Claude Cowork, ChatGPT, ChatGPT desktop, Codex, and other compatible hosts. Keep the returned open link as the fallback for a host that cannot render MCP Apps inline. Do not claim that a browser opened unless the host rendered the inline surface or its browser tool confirmed the returned URL.

If the app name is missing or uncertain, call list_apps first and use the exact granted app id. If the requested app is not listed, explain that it must be granted in Dispatch's Agents access settings. Do not invent a URL, use a localhost URL, or route around the Dispatch grant.

Work in the opened app

Prefer direct app tools when the host exposes them. After opening an app, call list-host-webmcp-tools when available, then use run-host-webmcp-tool with the exact listed name and origin. Page-local tools reflect current app state and selection, so use view-screen before selection-dependent edits and read back writes.

You are the model doing the work: when the user asks for new content — a design, a deck, a form, a document — author it yourself and save it with the app's create/update tools. Never hand off authoring to the app's own agent when those tools exist, and never wait on an in-app question form; it answers back through that app's own chat, not to you.

Use ask_app only when the host has no direct page tools, the requested capability is not exposed, the task needs the app agent's interpretation or multi-step specialist reasoning, or a direct call fails and needs recovery. Dispatch's unified /mcp endpoint still exposes generic cross-app verbs; a direct app MCP connection or page WebMCP surface is where named app actions appear.

The app's MCP instructions name its key tools (generated from the app's own list); follow those names verbatim and use tool-search for anything else — never guess a tool name.

  1. Call view-screen before any selection-dependent edit and use the ids it returns; never guess an id from a title, index, or stale context.
  2. If view-screen returns a selection and nextRequiredAction, make that call directly with the smallest atomic change; do not regenerate a whole artifact for a focused edit.
  3. Read the result back with the app's matching read action and report what changed. A queued ask_app_status task is not proof an edit completed.

Authentication and host behavior

The Dispatch MCP connector identifies the calling agent, while the embedded app uses the user's browser session. Let the user complete sign-in in the rendered Agent-Native browser surface. Never request, copy, or store passwords, OAuth codes, cookies, or access tokens.

The generic Agent-Native plugin registers Dispatch at https://dispatch.agent-native.com/mcp for hosts that support plugin MCP configuration. ChatGPT custom connectors use the same URL with OAuth. After installing or changing a connector, reload Claude/Cowork/ChatGPT or reconnect and rescan the MCP server if the new tools or inline surface are not visible.

Failure handling

  • If open_app succeeds but no inline surface appears, show its returned link and say that this host does not expose an embedded browser here.
  • After an app loads, check for list-host-webmcp-tools before delegating. If it is available, use the exact returned tool name and origin for direct work.
  • If ask_app cannot reach Slides, check that Slides is granted in Dispatch and that the connector is authenticated, then retry once with the exact app id slides.
  • If screen state has no deck or selection, describe that state instead of fabricating context. Ask the user to open a deck or select an element when the requested edit depends on it.
  • Treat a successful open link, a queued task, or a tool acknowledgment as navigation/task setup only. Confirm a write with the app's readback action.

Frequently asked questions

What does the An AI skill do?

Open and operate Agent-Native workspace apps through Dispatch MCP, with inline app surfaces, browser-session authentication, and current screen state.

Why use An on TypingMind?

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

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

Which AI models can use An?

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 An?

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

Is the An 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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