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By vanman2024
Run production-ready Celery distributed task queues to handle async background jobs and scheduled tasks, managing workers, using Beat for scheduling, Flower for monitoring, with direct integrations into Django, Flask, or FastAPI apps.
npx claudepluginhub vanman2024/ai-dev-marketplace --plugin celeryConfigure result backends (Redis, Database, RPC)
Configure periodic task scheduling with Celery Beat
Configure message brokers (RabbitMQ, Redis, Amazon SQS)
Initialize Celery in projects with framework detection, broker selection, and configuration
Production deployment configurations (Docker, K8s, systemd)
Periodic task scheduling patterns with Celery Beat (crontab, interval, solar). Use when configuring periodic tasks, setting up task schedules, implementing recurring jobs, configuring django-celery-beat, or creating dynamic schedules.
Message broker setup patterns (Redis, RabbitMQ, SQS) for Celery including connection strings, SSL configuration, high availability, and production best practices. Use when configuring message brokers, setting up Redis/RabbitMQ/SQS, troubleshooting broker connections, implementing HA/failover, securing broker communications with SSL, or when user mentions broker setup, connection issues, sentinel, quorum queues, or AWS SQS integration.
Celery configuration templates for all frameworks (Django, Flask, FastAPI, standalone). Use when configuring Celery, setting up task queues, creating Celery apps, integrating with frameworks, or when user mentions Celery configuration, task queue setup, broker configuration, or framework integration.
Production deployment configurations for Celery workers and beat schedulers across Docker, Kubernetes, and systemd environments. Use when deploying Celery to production, containerizing workers, orchestrating with Kubernetes, setting up systemd services, configuring health checks, implementing graceful shutdowns, or when user mentions deployment, Docker, Kubernetes, systemd, production setup, or worker containerization.
Django, Flask, FastAPI integration patterns for Celery. Use when integrating Celery with Django, Flask, or FastAPI, setting up framework-specific configurations, handling application contexts, managing database transactions with tasks, configuring async workers, or when user mentions Django Celery, Flask Celery, FastAPI background tasks, framework integration, or web framework task queues.
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This skill should be used when the user asks to "set up Cloudflare Queues", "create a message queue", "implement queue consumer", "process background jobs", "configure queue retry logic", "publish messages to queue", "implement dead letter queue", or encountering "queue timeout", "message retry", "throughput exceeded", "queue backlog" errors.
AI-native job queue for Bun — skills, MCP server (73 tools), custom agent, SQLite persistence, cron, priorities, retries, DLQ, webhooks
Comprehensive FastAPI backend development plugin with MongoDB/Beanie, Keycloak auth, Docker/K8s deployment, background tasks, caching, observability, and real-time features
Message queues and distributed systems expertise. Master queue theory, RabbitMQ, SQS, Kafka, async processing, backpressure, and distributed system patterns.
Production-ready Redis integration for caching, sessions, rate limiting, pub/sub, and AI embedding cache with multi-framework support
Python technical specialists for Django, FastAPI, FastMCP, Celery, and testing
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.
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
Complete A2A Protocol integration for multi-agent systems
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.