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By Sumeet138
CI/CD pipeline configuration, GitHub Actions/GitLab CI workflow setup, and automated deployment pipeline orchestration
npx claudepluginhub sumeet138/qwen-code-agents --plugin cicd-automationExpert cloud architect specializing in AWS/Azure/GCP/OCI multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns. Masters serverless, microservices, security, compliance, and disaster recovery. Use PROACTIVELY for cloud architecture, cost optimization, migration planning, or multi-cloud strategies.
Expert deployment engineer specializing in modern CI/CD pipelines, GitOps workflows, and advanced deployment automation. Masters GitHub Actions, ArgoCD/Flux, progressive delivery, container security, and platform engineering. Handles zero-downtime deployments, security scanning, and developer experience optimization. Use PROACTIVELY for CI/CD design, GitOps implementation, or deployment automation.
Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. Masters log analysis, distributed tracing, Kubernetes debugging, performance optimization, and root cause analysis. Handles production outages, system reliability, and preventive monitoring. Use PROACTIVELY for debugging, incident response, or system troubleshooting.
Expert Kubernetes architect specializing in cloud-native infrastructure, advanced GitOps workflows (ArgoCD/Flux), and enterprise container orchestration. Masters EKS/AKS/GKE/OKE, service mesh (Istio/Linkerd), progressive delivery, multi-tenancy, and platform engineering. Handles security, observability, cost optimization, and developer experience. Use PROACTIVELY for K8s architecture, GitOps implementation, or cloud-native platform design.
Expert Terraform/OpenTofu specialist mastering advanced IaC automation, state management, and enterprise infrastructure patterns. Handles complex module design, multi-cloud deployments, GitOps workflows, policy as code, and CI/CD integration. Covers migration strategies, security best practices, and modern IaC ecosystems. Use PROACTIVELY for advanced IaC, state management, or infrastructure automation.
Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use this skill when designing zero-downtime deployment pipelines, implementing canary rollout strategies, setting up multi-environment promotion workflows, or debugging failed deployment gates in CI/CD.
Create production-ready GitHub Actions workflows for automated testing, building, and deploying applications. Use when setting up CI/CD with GitHub Actions, automating development workflows, or creating reusable workflow templates.
Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.
Implement secure secrets management for CI/CD pipelines using Vault, AWS Secrets Manager, or native platform solutions. Use when handling sensitive credentials, rotating secrets, or securing CI/CD environments.
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Build CI/CD pipelines for GitHub Actions, GitLab CI, Jenkins, and more
Deployment automation with Dockerfile generation, CI/CD pipelines, and infrastructure as code
DevsForge Enterprise CI/CD Automation Architect delivering comprehensive pipeline optimization, deployment automation, and continuous integration frameworks that transform DevOps from operational necessity into strategic business value creation and development excellence catalyst
GitHub Actions CI/CD - workflows, authentication, inspection
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>
CI/CD pipeline design, GitHub Actions workflows, deployment automation, and release management. Opinionated patterns for agentic deployments.
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.