By rohitg00
Interactively configure secure Google Cloud Storage buckets and Cloud Run services following best practices, generating Terraform or gcloud commands, Dockerfiles, IAM setups, scaling, monitoring, CI configs, and documentation for quick deployment.
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npx claudepluginhub rohitg00/awesome-claude-code-toolkit --plugin gcp-helperPersistent memory for AI coding agents -- captures tool usage, compresses via LLM, injects context into future sessions. 12 hooks, 41 MCP tools, 4 skills, real-time viewer.
Complete AI coding workflow system. Self-correcting memory + persistent FTS5-indexed research wikis + auto-research loop + multi-LLM council on a single SQLite store. 33 skills, 8 agents, 22 commands, 37 hook scripts across 24 events. Cross-agent via SkillKit.
Complete developer toolkit for Claude Code
GitHub issue triage, creation, and management
Helm chart generation and upgrade management
Terraform modules for Firebase Genkit infrastructure and deployments
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>
The CI/CD extension provides Gemini powered AI assisted CI/CD. It supports deployment to Cloud Run and Cloud Storage as well as creation of a robust CI/CD pipeline.
Deployment automation with Dockerfile generation, CI/CD pipelines, and infrastructure as code
Deployment engineering with Terraform and infrastructure as code
DevOps, cloud, and deployment specialists - Kubernetes, Terraform, AWS, Azure, GCP, and SRE