By j0ruge
Unified CI/CD troubleshooting and pipeline configuration for GitHub Actions, Docker, GHCR, and self-hosted runners
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npx claudepluginhub j0ruge/skills_commands_manager --plugin cicdAutomated GitHub Release creation with categorized release notes from git history. Multi-stack (C#/.NET, Node.js, Go, Rust, Python) with --path filter for monorepo component releases. Contributor resolution via org membership cross-reference.
Automated deployment commands — staging and production pipelines via CD
Interactive setup for Claude Code status line — customize model info, context bar, git branch, cost tracking, and more. Cross-platform: generates Bash (.sh) or PowerShell (.ps1) based on OS.
Code review toolkit: automated pre-PR review with severity grading, TOCTOU race condition detection, accessibility checks, data integrity analysis, and CodeRabbit PR comment resolver with GitHub conversation resolution. Stack-agnostic with TypeScript/React defaults and dotnet preset for C#/.NET projects.
Complete C#/.NET WPF development toolkit — project setup & audit, Fluent Design guide (90+ controls), WinForms-to-WPF MVVM migration, and FlaUI E2E testing.
GitHub Actions CI/CD - workflows, authentication, inspection
Build CI/CD pipelines for GitHub Actions, GitLab CI, Jenkins, and more
Debug CI/CD pipeline failures and fix configurations
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 generation, deployment preflight, and Dockerfile validation with zero-downtime patterns.
The model must apply when tasks involve .gitlab-ci.yml configuration, GitLab Flavored Markdown (GLFM) syntax, gitlab-ci-local testing, CI/CD pipeline optimization, GitLab CI Steps composition, Docker-in-Docker workflows, or GitLab documentation creation. Triggers include modifying pipelines, writing GitLab README/Wiki content, debugging CI jobs locally, implementing caching strategies, or configuring release workflows.