Awesome-omni-skill app-builder

Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

install

source · Clone the upstream repo

git clone https://github.com/diegosouzapw/awesome-omni-skill

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/development/app-builder-techwavedev" ~/.claude/skills/diegosouzapw-awesome-omni-skill-app-builder-3c92af && rm -rf "$T"

manifest: skills/development/app-builder-techwavedev/SKILL.md

source content

App Builder - Application Building Orchestrator

Analyzes user's requests, determines tech stack, plans structure, and coordinates agents.

🎯 Selective Reading Rule

Read ONLY files relevant to the request! Check the content map, find what you need.

File	Description	When to Read
`project-detection.md`	Keyword matrix, project type detection	Starting new project
`tech-stack.md`	2025 default stack, alternatives	Choosing technologies
`agent-coordination.md`	Agent pipeline, execution order	Coordinating multi-agent work
`scaffolding.md`	Directory structure, core files	Creating project structure
`feature-building.md`	Feature analysis, error handling	Adding features to existing project
`templates/SKILL.md`	Project templates	Scaffolding new project

📦 Templates (13)

Quick-start scaffolding for new projects. Read the matching template only!

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
nuxt-app	Nuxt 3 + Pinia	Vue full-stack app
express-api	Express + JWT	REST API
python-fastapi	FastAPI	Python API
react-native-app	Expo + Zustand	Mobile app
flutter-app	Flutter + Riverpod	Cross-platform mobile
electron-desktop	Electron + React	Desktop app
chrome-extension	Chrome MV3	Browser extension
cli-tool	Node.js + Commander	CLI app
monorepo-turborepo	Turborepo + pnpm	Monorepo

🔗 Related Agents

Agent	Role
`project-planner`	Task breakdown, dependency graph
`frontend-specialist`	UI components, pages
`backend-specialist`	API, business logic
`database-architect`	Schema, migrations
`devops-engineer`	Deployment, preview

Usage Example

User: "Make an Instagram clone with photo sharing and likes"

App Builder Process:
1. Project type: Social Media App
2. Tech stack: Next.js + Prisma + Cloudinary + Clerk
3. Create plan:
   ├─ Database schema (users, posts, likes, follows)
   ├─ API routes (12 endpoints)
   ├─ Pages (feed, profile, upload)
   └─ Components (PostCard, Feed, LikeButton)
4. Coordinate agents
5. Report progress
6. Start preview

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 app-builder <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