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What it actually does AI analysis from the code graph — generated when you open this
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README

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Run and deploy your AI Studio app

This contains everything you need to run your app locally.

View your app in AI Studio: https://ai.studio/apps/29d5f923-4b28-4300-9769-8bfaf8129786

Run Locally

Prerequisites: Node.js

  1. Install dependencies: npm install
  2. Set the GEMINI_API_KEY in .env.local to your Gemini API key
  3. Run the app: npm run dev

Extension points exported contracts — how you extend this code

PlayerState (Interface)
(no doc)
src/hooks/useGameStore.tsx
GameState (Interface)
(no doc)
src/hooks/useGameStore.tsx
GameContextType (Interface)
(no doc)
src/hooks/useGameStore.tsx

Core symbols most depended-on inside this repo

cn
called by 3
src/components/game/DialogueSystem.tsx
useGame
called by 3
src/hooks/useGameStore.tsx
cn
called by 2
src/components/game/HUD.tsx
startServer
called by 1
server.ts
handleSend
called by 1
src/components/game/DialogueSystem.tsx
getAI
called by 1
src/lib/gemini.ts
getNPCDialogue
called by 1
src/lib/gemini.ts
App
called by 0
src/App.tsx

Shape

Function 16
Interface 3

Languages

TypeScript100%

Modules by API surface

src/hooks/useGameStore.tsx5 symbols
src/components/game/World.tsx4 symbols
src/components/game/HUD.tsx3 symbols
src/components/game/DialogueSystem.tsx3 symbols
src/lib/gemini.ts2 symbols
src/App.tsx1 symbols
server.ts1 symbols

For agents

$ claude mcp add Shut \
  -- python -m otcore.mcp_server <graph>

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