Chatgpt App Builder

OrganizationPopular

alpic-ai

chatgpt-app-builder

Guide developers through creating and updating ChatGPT apps. Covers the full lifecycle: brainstorming ideas against UX guidelines, bootstrapping projects, implementing tools/views, debugging, running dev servers, deploying and connecting apps to ChatGPT. Use when a user wants to create or update a ChatGPT app / MCP server for ChatGPT, or use the Skybridge framework.

Overview

Publisher	alpic-ai
Repository	`skybridge`
Skill name	`chatgpt-app-builder`
Stars	2K
Forks	136
Bundled files	26
License	MIT
Links	Skill source Repository Homepage

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.
26 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by alpic-ai on GitHub. Read the source before you install it.

Installation

Install the Chatgpt App Builder AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/alpic-ai/skybridge.git /tmp/skybridge
mkdir -p .claude/skills
cp -r /tmp/skybridge/skills/chatgpt-app-builder .claude/skills/chatgpt-app-builder

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chatgpt App Builder 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 Chatgpt App Builder 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 Chatgpt App Builder 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.

Creating Apps For LLMs

ChatGPT apps are conversational experiences that extend ChatGPT through tools and custom UI views. They're built as MCP servers invoked during conversations.

⚠️ The app is consumed by two users at once: the human and the ChatGPT LLM. They collaborate through the view—the human interacts with it, the LLM sees its state. Internalize this before writing code: the view is your shared surface.

SPEC.md keeps track of the app's requirements and design decisions. Keep it up to date as you work on the app.

Building an ecommerce app? → Read ecommerce.md first.

No SPEC.md? → Read discover.md first. Nothing else until SPEC.md exists.

SPEC.md exists? → Read SPEC.md, then follow architecture.md to design the change. Update SPEC.md, then read the relevant Implementation references below before writing code.

Migrating from Skybridge < 0.36.x? → Read migrate-to-v1.md first. Users may reference skybridge >= 0.36.x as v1.

Migrating from Skybridge 1.x to 2.x? → Fetch the v2.0.0 release notes first and follow them.

Setup

Copy template → copy-template.md: when starting a new project with ready SPEC.md
Run locally → run-locally.md: when ready to test, need dev server or ChatGPT connection
Evals → evals.md: when checking that a real model reaches the right tools from natural prompts, in a test

Architecture

Design or evolve UX flows and API shape → architecture.md

Implementation

Fetch and render data → fetch-and-render-data.md: when implementing server handlers and view data fetching
State and context → state-and-context.md: when persisting view UI state and updating LLM context
Prompt LLM → prompt-llm.md: when view needs to trigger LLM response
UI guidelines → ui-guidelines.md: display modes, layout constraints, theme, device, and locale
External links → open-external-links.md: when redirecting to external URLs or setting "open in app" target
OAuth → oauth.md: when tools need user authentication to access user-specific data
CSP → csp.md: when declaring allowed domains for fetch, assets, redirects, or iframes

Deploy

Ship to production → deploy.md: when ready to deploy via Alpic
Publish to ChatGPT Directory → publish.md: when ready to submit for review

Full API docs: https://docs.skybridge.tech/api-reference.md

Release notes & changelog: https://skybridge.tech/changelog.md

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 Chatgpt App Builder AI skill do?

Why use Chatgpt App Builder on TypingMind?

Because you install it once and use it with any model. Chatgpt App Builder 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 Chatgpt App Builder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alpic-ai/skybridge/tree/main/skills/chatgpt-app-builder. 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 Chatgpt App Builder?

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 Chatgpt App Builder?

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

Is the Chatgpt App Builder AI skill free?

Yes. It is published on GitHub by alpic-ai 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Creating Apps For LLMs

Setup

Architecture

Implementation

Deploy

Bundled files

Frequently asked questions

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