skybridge

SKILL.md

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

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/Claude connection

Architecture