Chatgpt App Builder

A guided workflow for building ChatGPT apps using the Skybridge MCP framework. It walks you through the full cycle from brainstorming against UX guidelines to deployment, with a strong emphasis on keeping a SPEC.md file updated as your source of truth. The core insight here is that you're designing for two users at once: the human clicking around and the LLM reading state, so the view becomes a shared collaboration surface. Includes specific references for common patterns like OAuth, state management, and prompting the LLM from your UI. If you're building conversational tools that need custom interfaces beyond basic chat, this gives you the structure to think through both sides of that interaction.

skills.sh installs: 7.2K
GitHub stars: 2.2K
last updated: Aug 21, 2026

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Install

$ npx -y skills add alpic-ai/skybridge --skill chatgpt-app-builder --agent claude-code

Installs into .claude/skills of the current project.

Files

Creating Plugins For LLMs

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

⚠️ The plugin 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 plugin's requirements and design decisions. Keep it up to date as you work on the plugin.

Building an ecommerce plugin? → 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.

SKILL.md on GitHub