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By markus41
Scaffold, generate, and deploy production FastAPI backends with Beanie MongoDB models/CRUD, Keycloak auth, Redis caching, ARQ/Celery tasks, WebSockets, pytest tests/migrations; add structlog/Prometheus/OTel observability; containerize with Docker/Helm K8s; optimize performance and audit security.
npx claudepluginhub markus41/claude --plugin fastapi-backendDeploy FastAPI application to Kubernetes cluster with Helm
Start FastAPI development server with hot reload and proper configuration
Build and manage Docker containers for FastAPI application
Generate a complete FastAPI CRUD endpoint with router, schemas, service layer, and tests
Run Beanie/MongoDB migrations and index management
FastAPI API architecture specialist for designing scalable, maintainable API structures with domain-driven patterns
Performance optimization specialist for FastAPI applications, analyzing bottlenecks, implementing caching, and optimizing database queries
Security-focused code reviewer for FastAPI applications, identifying vulnerabilities, OWASP compliance, and authentication/authorization issues
Automated pytest test suite generator for FastAPI applications with async support, fixtures, and comprehensive coverage
> Patterns from "Agentic Design Patterns" (Gulli & Sauco, 2025) applied to async Python API development, MongoDB/Beanie data modeling, and production-ready backend services
This skill should be used when the user asks to "create MongoDB model", "define Beanie document", "write MongoDB query", "create aggregation pipeline", "run database migration", "index MongoDB collection", or mentions Beanie, Motor, MongoDB documents, or async database operations. Provides MongoDB/Beanie ODM patterns for FastAPI.
This skill should be used when the user asks to "create background task", "add async job", "implement task queue", "schedule periodic task", "use Celery", "use ARQ", "process async", or mentions background processing, task queues, job scheduling, workers, or async jobs. Provides multiple task queue framework patterns.
This skill should be used when the user asks to "add caching", "implement Redis cache", "cache API response", "invalidate cache", "add cache layer", "optimize with caching", or mentions Redis, caching strategies, cache invalidation, or performance optimization. Provides Redis caching patterns for FastAPI.
This skill should be used when the user asks to "deploy FastAPI to Kubernetes", "create Dockerfile", "build Docker image", "write Helm chart", "configure K8s deployment", "add health checks", "scale FastAPI", or mentions Docker, Kubernetes, K8s, containers, Helm, or deployment. Provides containerization and orchestration patterns.
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Zenith (Forerunner) - Complete full-stack development and infrastructure automation. FastAPI, React/Vite, Ansible, Terraform, Kubernetes with production-ready templates and CI/CD pipelines.
Complete fullstack development toolkit: React, Express/FastAPI, PostgreSQL scaffolding with AI agents
Production-ready FastAPI backend with async/await, Mem0, and deployment
Use this agent when designing APIs, building server-side logic, implementing databases, or architecting scalable backend systems. This agent specializes in creating robust, secure, and performant backend services. Examples:\n\n<example>\nContext: Designing a new API\nuser: "We need an API for our social sharing feature"\nassistant: "I'll design a RESTful API with proper authentication and rate limiting. Let me use the backend-architect agent to create a scalable backend architecture."\n<commentary>\nAPI design requires careful consideration of security, scalability, and maintainability.\n</commentary>\n</example>\n\n<example>\nContext: Database design and optimization\nuser: "Our queries are getting slow as we scale"\nassistant: "Database performance is critical at scale. I'll use the backend-architect agent to optimize queries and implement proper indexing strategies."\n<commentary>\nDatabase optimization requires deep understanding of query patterns and indexing strategies.\n</commentary>\n</example>\n\n<example>\nContext: Implementing authentication system\nuser: "Add OAuth2 login with Google and GitHub"\nassistant: "I'll implement secure OAuth2 authentication. Let me use the backend-architect agent to ensure proper token handling and security measures."\n<commentary>\nAuthentication systems require careful security considerations and proper implementation.\n</commentary>\n</example>
Use this agent when setting up CI/CD pipelines, configuring Docker containers, deploying applications to cloud platforms, setting up Kubernetes clusters, implementing infrastructure as code, or automating deployment workflows. Examples: <example>Context: User is setting up a new project and needs deployment automation. user: "I've built a FastAPI application and need to deploy it to production with proper CI/CD" assistant: "I'll use the deployment-engineer agent to set up a complete deployment pipeline with Docker, GitHub Actions, and production-ready configurations."</example> <example>Context: User mentions containerization or deployment issues. user: "Our deployment process is manual and error-prone. We need to automate it." assistant: "Let me use the deployment-engineer agent to design an automated CI/CD pipeline that eliminates manual steps and ensures reliable deployments."</example>
Full-stack orchestration with deployment, performance, security, and test automation
Professional-grade multi-LLM agent coordination with comprehensive registry system, mandatory orchestration protocol, and production-ready DevOps workflows. Portable and customizable for any project.
Enterprise development toolkit for teams - DevOps, code quality, integrations, workflow automation, documentation, and performance optimization across multi-cloud and full-stack platforms
Streamline development on the-lobbi/keycloak-alpha with Keycloak management, service orchestration, and test generation
Genesis (Forerunner) - AI-Powered Executive Director Automation Platform. Analyze organizational responsibilities, score automation potential with 6-factor algorithm, generate LangGraph workflows, and deploy 11 specialized agents for trade associations and nonprofits.
263+ design styles with multi-tenant Keycloak theming for AI-powered frontend development
A plugin-based AI agent orchestration platform that combines a visual workflow builder with a deep Claude Code configuration system. Fourteen domain plugins extend the platform across cloud infrastructure, enterprise SaaS, home automation, and more. The root plugin (claude-orchestration v4.0.1) ships 137 agents, 55 skills, and 100+ slash commands that activate automatically through a registry-backed keyword system.
The frontend (@accos/frontend v1.0.0) is the control surface: a React 18 application where you design, visualize, and manage multi-agent workflows and the plugin marketplace.
┌─────────────────────────────────────────────────────────────────┐
│ Visual Workflow Builder │
│ ReactFlow canvas · Zustand state · WebSocket │
└────────────────────────┬────────────────────────────────────────┘
│
┌────────────────────────▼────────────────────────────────────────┐
│ Plugin System Core │
│ Discovery · Installation · Validation · Dependency resolution │
│ Health checking · Sandboxing · Federated registry │
└───────────┬────────────────────────────────┬────────────────────┘
│ │
┌───────────▼──────────┐ ┌────────────▼───────────────────┐
│ 14 Domain Plugins │ │ Agent Fleet │
│ jira-orchestrator │ │ 137 agents · 30+ categories │
│ tvs-microsoft-deploy│ │ 55 skills · 100+ commands │
│ home-assistant-arch │ │ Activated via registry index │
│ fastapi-backend │ └────────────────────────────────┘
│ ... and 10 more │
└───────────┬──────────┘
│
┌───────────▼──────────────────────────────────────────────────────┐
│ MCP Servers │
│ deploy-intelligence · lessons-learned · project-metrics │
│ code-quality-gate · workflow-bridge · perplexity · firecrawl │
└──────────────────────────────────────────────────────────────────┘
Task toolPrerequisites: Node.js 18+, pnpm
# Install dependencies
pnpm install
# Start development server
pnpm dev
# Opens at http://localhost:5173
# Build for production
pnpm build