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By vanman2024
Scaffold a production-ready FastAPI backend using async/await patterns, Mem0 for AI memory persistence, SQLAlchemy ORM with PostgreSQL database, and built-in deployment configurations.
npx claudepluginhub vanman2024/ai-dev-marketplace --plugin fastapi-backendConfigure async SQLAlchemy, Alembic migrations, and PostgreSQL/Supabase integration for FastAPI
Generate Docker configurations, deployment scripts, and multi-platform setup for FastAPI (Railway, DigitalOcean, AWS)
Generate production-ready FastAPI endpoints with async functions, Pydantic validation, and OpenAPI documentation
Initialize FastAPI projects with complete structure, dependencies, configuration, CORS setup, and environment management
Async SQLAlchemy 2.0+ database patterns for FastAPI including session management, connection pooling, Alembic migrations, relationship loading strategies, and query optimization. Use when implementing database models, configuring async sessions, setting up migrations, optimizing queries, managing relationships, or when user mentions SQLAlchemy, async database, ORM, Alembic, database performance, or connection pooling.
REST API design and implementation patterns for FastAPI endpoints including CRUD operations, pagination, filtering, error handling, and request/response models. Use when building FastAPI endpoints, creating REST APIs, implementing CRUD operations, adding pagination, designing API routes, handling API errors, or when user mentions FastAPI patterns, REST API design, endpoint structure, API best practices, or HTTP endpoints.
Implement and validate FastAPI authentication strategies including JWT tokens, OAuth2 password flows, OAuth2 scopes for permissions, and Supabase integration. Use when implementing authentication, securing endpoints, handling user login/signup, managing permissions, integrating OAuth providers, or when user mentions JWT, OAuth2, Supabase auth, protected routes, access control, role-based permissions, or authentication errors.
Configure multi-platform deployment for FastAPI applications including Docker containerization, Railway, DigitalOcean App Platform, and AWS deployment. Use when deploying FastAPI apps, setting up production environments, containerizing applications, configuring cloud platforms, implementing health checks, managing environment variables, setting up reverse proxies, or when user mentions Docker, Railway, DigitalOcean, AWS, deployment configuration, production setup, or container orchestration.
Production-ready FastAPI project scaffolding templates including directory structure, configuration files, settings management, dependency injection, MCP server integration, and development/production setup patterns. Use when creating FastAPI projects, setting up project structure, configuring FastAPI applications, implementing settings management, adding MCP integration, or when user mentions FastAPI setup, project scaffold, app configuration, environment management, or backend structure.
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Comprehensive FastAPI backend development plugin with MongoDB/Beanie, Keycloak auth, Docker/K8s deployment, background tasks, caching, observability, and real-time features
Complete fullstack development toolkit: React, Express/FastAPI, PostgreSQL scaffolding with AI agents
Modular Vercel AI SDK development plugin with 13 specialized agents, parallel orchestration, and AI SDK v6 support. Features AI Elements (54 components), 107+ providers, Tools Registry, MCP integration, and full-stack app builder.
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices
Advanced FastAPI skills for dependency injection, async patterns, and validation.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Production-ready Celery distributed task queue with worker management, beat scheduling, monitoring (Flower), and framework integrations (Django, Flask, FastAPI)
OpenRouter SDK plugin - unified interface for 500+ LLM models with intelligent routing, cost optimization, and framework integrations (Vercel AI SDK, LangChain, OpenAI SDK, PydanticAI)
Comprehensive ElevenLabs AI audio integration for voice-enabled applications with TTS, STT, voice cloning, and Vercel AI SDK support
Comprehensive Supabase integration for AI applications with database, auth, storage, realtime, and vector search capabilities
Modular Vercel AI SDK development plugin with 13 specialized agents, parallel orchestration, and AI SDK v6 support. Features AI Elements (54 components), 107+ providers, Tools Registry, MCP integration, and full-stack app builder.
Central repository of 21 Claude Code plugins for AI-powered development - agents, SDKs, frontends, backends, and infrastructure.
Note: The
domain-plugin-builderhas been moved to its own standalone repository: https://github.com/vanman2024/domain-plugin-builder
The ai-dev-marketplace is a collection of Claude Code plugins that provide slash commands, specialized agents, and skills for building AI applications. Each plugin targets a specific technology and can be used independently or combined into full-stack solutions.
| Plugin | Description |
|---|---|
claude-agent-sdk | Build AI agents with Claude's Agent SDK (TypeScript/Python) |
google-adk | Google Agent Development Kit - Python, TypeScript, Go, Java |
a2a-protocol | Agent-to-Agent Protocol for multi-agent interoperability |
| Plugin | Description |
|---|---|
vercel-ai-sdk | Modular Vercel AI SDK with streaming, tool-calling, and multi-provider support |
openrouter | Unified interface for 500+ LLM models with intelligent routing and cost optimization |
elevenlabs | AI audio - TTS, STT, voice cloning, and Vercel AI SDK integration |
| Plugin | Description |
|---|---|
mem0 | AI memory management - Platform (hosted), Open Source (Supabase), MCP (OpenMemory) |
rag-pipeline | RAG toolkit with LlamaIndex, LangChain, pgvector, Pinecone, Chroma |
| Plugin | Description |
|---|---|
ml-training | ML training/inference on cloud GPUs (Modal, Lambda Labs, RunPod) with HuggingFace |
| Plugin | Description |
|---|---|
nextjs-frontend | Next.js 15 App Router with AI SDK, Supabase, shadcn/ui, SEO, marketing tools |
sveltekit-frontend | SvelteKit with Tailwind CSS v4, shadcn-svelte, Bun, HTML-to-Svelte migration |
mobile | React Native/Expo, PWA, responsive design, EAS Build, app store deployment |
website-builder | AI-powered sites with Astro, MDX, content-image-generation MCP, Supabase CMS |
| Plugin | Description |
|---|---|
fastapi-backend | Production FastAPI with async/await, Mem0, SQLAlchemy, PostgreSQL |
celery | Distributed task queue - workers, beat scheduling, Flower monitoring |
| Plugin | Description |
|---|---|
supabase | Database, auth, storage, realtime, pgvector for AI apps |
redis | Caching, sessions, rate limiting, pub/sub, AI embedding cache |
| Plugin | Description |
|---|---|
clerk | Authentication with OAuth, organizations, and billing |
payments | Stripe integration - checkout, subscriptions, webhooks with FastAPI/Next.js/Supabase |
| Plugin | Description |
|---|---|
resend | Email API - transactional, contacts, broadcasts, templates, webhooks |
| Plugin | Description |
|---|---|
plugin-docs-loader | Universal documentation loading with link extraction and parallel WebFetch |
git clone https://github.com/vanman2024/ai-dev-marketplace.git
cd ai-dev-marketplace
# From local clone
claude plugin install vercel-ai-sdk --project
# From GitHub directly
claude plugin install vercel-ai-sdk \
--source github:vanman2024/ai-dev-marketplace/plugins/vercel-ai-sdk
claude marketplace add ai-dev-marketplace \
--source github:vanman2024/ai-dev-marketplace
claude marketplace list ai-dev-marketplace
Each plugin follows a consistent structure:
plugins/{name}/
├── .claude-plugin/
│ └── plugin.json # Manifest (name, version, description)
├── commands/ # Slash commands (/plugin:command)
├── agents/ # Specialized AI agents
├── skills/ # Reusable knowledge/templates
├── docs/ # Static documentation
└── README.md
Combine plugins for complete solutions:
AI Chatbot:
vercel-ai-sdk + mem0 + supabase + nextjs-frontend + clerk
SaaS Platform:
nextjs-frontend + supabase + clerk + payments + redis + resend
Multi-Agent System:
claude-agent-sdk + a2a-protocol + celery + redis + supabase
Mobile App:
mobile + supabase + clerk + fastapi-backend
ML Pipeline:
ml-training + rag-pipeline + redis + fastapi-backend + supabase
Use the domain-plugin-builder:
/domain-plugin-builder:build-plugin my-plugin
This creates the full plugin structure with commands, agents, and skills.