Project Templates
Quick-start templates for scaffolding new projects.
🎯 Selective Reading Rule
Read ONLY the template matching user's project type!
| Template | Tech Stack | When to Use |
|---|---|---|
| nextjs-fullstack | Next.js + Prisma | Full-stack web app |
| nextjs-saas | Next.js + Stripe | SaaS product |
| nextjs-static | Next.js + Framer | Landing page |
| express-api | Express + JWT | REST API |
| python-fastapi | FastAPI | Python API |
| react-native-app | Expo + Zustand | Mobile app |
| flutter-app | Flutter + Riverpod | Cross-platform |
| electron-desktop | Electron + React | Desktop app |
| chrome-extension | Chrome MV3 | Browser extension |
| cli-tool | Node.js + Commander | CLI app |
| monorepo-turborepo | Turborepo + pnpm | Monorepo |
| astro-static | Astro + MDX | Blog / Docs |
Usage
- User says "create [type] app"
- Match to appropriate template
- Read ONLY that template's TEMPLATE.md
- Follow its tech stack and structure
AGI Framework Integration
Qdrant Memory Integration
Before executing complex tasks with this skill:
python3 execution/memory_manager.py auto --query "<task summary>"
Decision Tree:
- Cache hit? Use cached response directly — no need to re-process.
- Memory match? Inject
context_chunksinto your reasoning. - No match? Proceed normally, then store results:
python3 execution/memory_manager.py store \
--content "Description of what was decided/solved" \
--type decision \
--tags templates <relevant-tags>
Note: Storing automatically updates both Vector (Qdrant) and Keyword (BM25) indices.
Agent Team Collaboration
- Strategy: This skill communicates via the shared memory system.
- Orchestration: Invoked by
orchestratorvia intelligent routing. - Context Sharing: Always read previous agent outputs from memory before starting.
Local LLM Support
When available, use local Ollama models for embedding and lightweight inference:
- Embeddings:
nomic-embed-textvia Qdrant memory system - Lightweight analysis: Local models reduce API costs for repetitive patterns