Skybridge
- 889 installs
- 2k repo stars
- Updated August 4, 2026
- alpic-ai/skybridge
skybridge is a Claude Code skill that guides developers step-by-step through creating, updating, debugging, and shipping ChatGPT apps, MCP servers, and MCP apps using the Skybridge framework for developers building conve
About
skybridge is an agent-app development skill from alpic-ai/skybridge covering the full lifecycle of ChatGPT and MCP applications. It walks developers through brainstorming against UX guidelines, bootstrapping projects, implementing tools and custom UI views, running dev servers, debugging, deploying, and connecting apps to ChatGPT. Because MCP apps serve both the human user and the AI assistant simultaneously, skybridge emphasizes dual-audience design. Developers reach for skybridge when creating or updating a ChatGPT app, MCP app, MCP server, or Skybridge-based conversational experience rather than generic REST APIs.
- Full lifecycle guidance: brainstorming against UX guidelines, bootstrapping, implementing tools and views, debugging, ru
- Enforces SPEC.md as the single source of truth before any implementation
- Requires reading architecture.md and updating SPEC.md on every change
- Internalizes dual-user model (human + LLM) sharing the same view surface
- Provides dedicated reference guides for copy-template, run-locally, and implementation patterns
Skybridge by the numbers
- 889 all-time installs (skills.sh)
- +32 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #1,231 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Security screen: MEDIUM risk (skills.sh audit)
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 889 |
|---|---|
| repo stars | ★ 2k |
| Security audit | 2 / 3 scanners passed |
| Last updated | August 4, 2026 |
| Repository | alpic-ai/skybridge ↗ |
How do you build and ship ChatGPT MCP apps?
When they need an agent skill that guides them step-by-step through creating, updating, and shipping ChatGPT apps, MCP servers, and MCP apps.
Who is it for?
Developers shipping conversational MCP servers and ChatGPT apps that expose tools plus custom UI views to both users and LLMs.
Skip if: Traditional CRUD APIs or batch scripts with no ChatGPT, MCP, or Skybridge integration requirement.
When should I use this skill?
User wants to create, update, debug, or deploy a ChatGPT app, MCP app, MCP server, or Skybridge project.
What you get
ChatGPT-connected MCP app with implemented tools, custom views, dev server config, and deployment setup
- MCP server project
- ChatGPT app connection
Files
Creating Apps For LLMs
Those are conversational experiences that extend AI assistants 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 AI Assistant 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.
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.
Setup
1. Copy template → copy-template.md: when starting a new project with ready SPEC.md 2. Run locally → run-locally.md: when ready to test, need dev server, use devtools to render views or connect to ChatGPT/Claude
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
- Download file → download-file.md: when saving content to the user's filesystem
- 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/Claude Directories → publish.md: when ready to submit for review
Full API docs: https://docs.skybridge.tech/api-reference.md
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What does skybridge help developers build?
skybridge guides creation and updates of ChatGPT apps, MCP apps, and MCP servers using the Skybridge framework, including brainstorming, tool/view implementation, debugging, dev servers, and deployment.
Why does skybridge emphasize two users per app?
skybridge notes ChatGPT and MCP apps are consumed by both the human and the AI assistant, so UX guidelines and tool design must serve conversational LLM invocation alongside end-user interaction.
Is Skybridge safe to install?
skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.