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Project scaffolding templates for new applications. Use when creating new projects from scratch. Contains 12 templates for various tech stacks.

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SKILL.md

Full skill instructions

Project Templates

Quick-start templates for scaffolding new projects.


🎯 Selective Reading Rule

Read ONLY the template matching user's project type!

TemplateTech StackWhen to Use
nextjs-fullstackNext.js + PrismaFull-stack web app
nextjs-saasNext.js + StripeSaaS product
nextjs-staticNext.js + FramerLanding page
express-apiExpress + JWTREST API
python-fastapiFastAPIPython API
react-native-appExpo + ZustandMobile app
flutter-appFlutter + RiverpodCross-platform
electron-desktopElectron + ReactDesktop app
chrome-extensionChrome MV3Browser extension
cli-toolNode.js + CommanderCLI app
monorepo-turborepoTurborepo + pnpmMonorepo
astro-staticAstro + MDXBlog / Docs

Usage

  1. User says "create [type] app"
  2. Match to appropriate template
  3. Read ONLY that template's TEMPLATE.md
  4. 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_chunks into 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 orchestrator via 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-text via Qdrant memory system
  • Lightweight analysis: Local models reduce API costs for repetitive patterns