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By sumeet138
Backend API design, GraphQL architecture, workflow orchestration with Temporal, and test-driven backend development
npx claudepluginhub sumeet138/qwen-code-agents --plugin backend-developmentExpert backend architect specializing in scalable API design, microservices architecture, and distributed systems. Masters REST/GraphQL/gRPC APIs, event-driven architectures, service mesh patterns, and modern backend frameworks. Handles service boundary definition, inter-service communication, resilience patterns, and observability. Use PROACTIVELY when creating new backend services or APIs.
Expert in event sourcing, CQRS, and event-driven architecture patterns. Masters event store design, projection building, saga orchestration, and eventual consistency patterns. Use PROACTIVELY for event-sourced systems, audit trail requirements, or complex domain modeling with temporal queries.
Master modern GraphQL with federation, performance optimization, and enterprise security. Build scalable schemas, implement advanced caching, and design real-time systems. Use PROACTIVELY for GraphQL architecture or performance optimization.
Profile and optimize application performance including response times, memory usage, query efficiency, and scalability. Use for performance review during feature development.
Review code and architecture for security vulnerabilities, OWASP Top 10, auth flaws, and compliance issues. Use for security review during feature development.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use this skill when designing clean architecture for a new microservice, when refactoring a monolith to use bounded contexts, when implementing hexagonal or onion architecture patterns, or when debugging dependency cycles between application layers.
Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.
Design and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns.
Design microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.
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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>
GraphQL API design, optimization, and implementation expert for scalable API architectures
Agents specialized in backend development, API design, and system architecture. Focuses on scalable server-side solutions and data management.
API design, documentation, and testing with OpenAPI spec generation
Expert agents for software architecture, backend development, and system design
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.2
Interactive debugging, developer experience optimization, and smart debugging workflows
Distributed system tracing and debugging across microservices
REST and GraphQL API scaffolding, framework selection, backend architecture, and API generation
Technical SEO optimization including meta tags, keywords, structure, and featured snippets
Adapted for Qwen Code — 77 plugins, 182 agents, 149 skills, and 96 commands now working with Qwen 3.6
A comprehensive production-ready system combining 182 specialized AI agents, 16 multi-agent workflow orchestrators, 149 agent skills, and 96 commands organized into 77 focused, single-purpose plugins — adapted for Qwen Code.
This project is a fork/adaptation of claude-code-workflows by Seth Hobson (@wshobson).
All original plugin content, agent expertise, skill knowledge, command workflows, and architectural design are the work of Seth Hobson and contributors. This adaptation converts the plugin infrastructure to work with Qwen Code instead of Claude Code, while preserving 100% of the original content and intelligence.
Original repository: github.com/wshobson/agents Original license: MIT
Claude Code is expensive. Qwen Code is free (OAuth: 60 req/min, 1000/day) or very cheap (API key). This project brings the same powerful agent orchestration system to Qwen Code so you can use 182 specialized AI agents without paying for Claude.
| Aspect | Before (Claude Code) | After (Qwen Code) |
|---|---|---|
| Cost | $3+ per 1M tokens (Sonnet) | Free (OAuth) or ~$0.02/1M tokens |
| Model for critical tasks | Claude Opus 4.6 | Qwen-Max |
| Model for complex tasks | Claude Sonnet 4.6 | Qwen-Plus |
| Model for fast tasks | Claude Haiku 4.5 | Qwen-Flash |
| Plugins | 77 | 77 (same) |
| Agents | 182 | 182 (same expertise) |
| Skills | 149 | 149 (same knowledge) |
| Commands | 96 | 96 (same workflows) |
| Agent knowledge | Identical | Identical |
| Skill content | Identical | Identical |
| Workflow automation | Identical | Identical |
| Monthly savings | Baseline | ~99% cheaper |
| Component | Changed? | Details |
|---|---|---|
| Agent system prompts | No | All 182 agents have identical expertise |
| Skill knowledge packages | No | All 149 skills with progressive disclosure |
| Command workflows | No | All 96 workflow automations |
| Plugin structure | No | Same directory organization |
model: opus references | Yes | Mapped to model: qwen-max |
model: sonnet references | Yes | Mapped to model: qwen-plus |
model: haiku references | Yes | Mapped to model: qwen-flash |
| Plugin manifest | Yes | plugin.json + qwen-extension.json |
| Context files | Added | QWEN.md per plugin |
This unified repository provides everything needed for intelligent automation and multi-agent orchestration across modern software development:
Each plugin is completely isolated with its own agents, commands, and skills:
Example: Installing python-development loads 3 Python agents, 1 scaffolding tool, and makes 16 skills available (~1000 tokens), not the entire marketplace.