AI-assist Google Cloud CI/CD: design pipelines with Cloud Build best practices, deploy securely to Cloud Storage (static), Cloud Run/GKE (dynamic) after app analysis and secret scanning, manage multi-environment releases with canary strategies/rollbacks, and provision infra via Terraform.
npx claudepluginhub gemini-cli-extensions/cicd --plugin cicdUse this skill when requested to deploy an application to Google Cloud (GCS, Cloud Run, GKE) or when analyzing an application to determine the best deployment target. **Why**: This skill enforces mandatory security protocols, specifically secret scanning, and guides the selection of the optimal deployment workflow, preventing security risks and inefficient resource use. Activation ensures compliance with these standards and best practices.
Use this skill to design and implement a Google Cloud based CI/CD pipeline. This skill encodes best practices for pipeline design, ensuring proper pattern selection and implementation. You MUST activate this skill when tasked with building a pipeline, designing architecture on GCP, or migrating pipelines.
Use this skill when you need to design Cloud Deploy delivery pipelines or manage releases for applications deploying to Cloud Run or Google Kubernetes Engine (GKE). This skill encodes best practices for multi-environment deployment, deployment strategies (like canary), and release management (including rollbacks and automations). Always activate this skill for these tasks to ensure robust and consistent configuration.
Architect, provision, and troubleshoot infrastructure on Google Cloud using Terraform. This skill ensures best practices like GCS backend usage and least-privilege IAM are followed. Enforces Google’s Cloud Foundation Fabric patterns and rigorous validation protocols to ensure secure, idempotent, and scalable deployments across environments. Activate when the user requests infrastructure changes, pipeline design involving Terraform, or debugging Terraform issues.
Share bugs, ideas, or general feedback.
GitHub Actions CI/CD workflows for Google Cloud and Vertex AI deployments
Google Cloud Platform service configuration and deployment
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>
Infrastructure and cloud operations: Kubernetes, Terraform, Helm, GitHub Actions, AWS, GCP
DevOps and deployment automation - CI/CD pipelines, zero-downtime deployments - 1 skill, 2 commands, 2 agents