> ## Documentation Index
> Fetch the complete documentation index at: https://docs.skybridge.tech/llms.txt
> Use this file to discover all available pages before exploring further.

# Skills

> Use AI coding assistants pre-loaded with Skybridge expertise to build your app.

<Tip>
  Skills are pre-built instructions for your AI coding assistant. They work with **Antigravity**, **Claude Code**, **Cursor**, **Gemini CLI**, **GitHub Copilot**, **OpenAI Codex**, **Windsurf**, and more.
</Tip>

## What it does

Turn your AI assistant into a Skybridge expert that guides you through the full app lifecycle:

1. **Discovery** — Brainstorm your idea, validate it against UX guidelines, create specs
2. **Architecture** — Design UX flows, decide tools vs views, define the API shape
3. **Bootstrapping** — Scaffold the project from the starter template
4. **Implementation** — Data fetching, state management, LLM communication, UI guidelines, OAuth, CSP
5. **Run & Test** — Start the dev server and connect to AI assistants
6. **Deploy & Publish** — Ship to production and submit to app directories

## Installation

Add the Skybridge skill by running the following command:

<CodeGroup>
  ```bash npm theme={null}
  npx skills add alpic-ai/skybridge -s skybridge
  ```

  ```bash pnpm theme={null}
  pnpm dlx skills add alpic-ai/skybridge -s skybridge
  ```

  ```bash yarn theme={null}
  yarn dlx skills add alpic-ai/skybridge -s skybridge
  ```

  ```bash bun theme={null}
  bunx skills add alpic-ai/skybridge -s skybridge
  ```

  ```bash deno theme={null}
  deno run -A npm:skills add alpic-ai/skybridge -s skybridge
  ```
</CodeGroup>

## Example Prompts

After installing, try asking your AI assistant:

* "Help me create a Skybridge app for my ecommerce store"
* "Connect my local MCP server to ChatGPT"
* "Deploy my MCP app"