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skybridge

Guide developers through creating, updating, and deploying ChatGPT and MCP apps with Skybridge.

2.0k|131|Updated Oct 7, 2025
Search Tags:#typescript#deployment#mcp#widgets#skybridge#chatgpt-apps
One-click install
npx skills add https://github.com/alpic-ai/skybridge --skill skybridge
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skybridge
Source: https://github.com/alpic-ai/skybridge/tree/main/skills/skybridge
Command: npx skills add https://github.com/alpic-ai/skybridge --skill skybridge

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Guides developers through creating ChatGPT and MCP apps with Skybridge framework to streamline the end-to-end lifecycle of AI-embedded applications.

Core Features & Use Cases

  • End-to-end guidance for brainstorming UX ideas, bootstrapping projects, implementing tools/widgets, debugging, running dev servers, deploying, and publishing.
  • SPEC.md as the central design contract, with references to architecture, fetch/render-data, state management, prompt handling, and UI guidelines.
  • Use Case: A developer builds a new ChatGPT app and publishes it to production with Skybridge, ensuring type safety and platform-agnostic widgets.

Quick Start

Review SPEC.md to capture requirements, copy a ready template from references/copy-template.md to bootstrap a new project, run the local dev server, and connect the app to ChatGPT or MCP client for testing.

Frequently Asked Questions about skybridge

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build and deploy ChatGPT apps using TypeScript?▼

To build ChatGPT apps in TypeScript, use the Skybridge framework to bootstrap projects, implement widgets, run local dev servers, and deploy to production with structured guidance via SPEC.md and architecture references.

What is the best way to structure an MCP app for production deployment?▼

The best way to structure an MCP app for deployment is using a SPEC.md design contract to capture requirements, then applying Skybridge references for state management, prompt handling, and UI guidelines before publishing.

Can I use Skybridge to bootstrap a new ChatGPT app from a template?▼

Yes, you can bootstrap a new ChatGPT app by copying a ready template from references/copy-template.md, running the local dev server, and connecting the app to a ChatGPT or MCP client for testing.

Does the Skybridge framework support type-safe AI widget development?▼

Yes, Skybridge supports type-safe AI widget development by leveraging full-stack TypeScript to ensure type safety and platform-agnostic widgets across the end-to-end application lifecycle.

What guidelines does Skybridge provide for fetch and render data in AI apps?▼

Skybridge provides structured references covering fetch/render-data, state management, prompt handling, and UI guidelines to streamline the end-to-end lifecycle of AI-embedded applications.

Why should I use full-stack TypeScript for MCP app development instead of other approaches?▼

Using full-stack TypeScript for MCP app development ensures type safety across the entire lifecycle, from ideation and bootstrapping to debugging and deploying, streamlining architecture consistency.

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