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jpantsjoha/googlecloud-plugin

v0.2.0MIT

A full Google Cloud delivery team for your coding agent: vendor-objective solution designer, GCP architect, agentic-systems architect (ADK / Agent Runtime / MCP / A2A / AP2), plus security, SRE, and QA — wired into a design-first, security-first delivery gate. Eleven service skills (Cloud Run, GKE, IAM, BigQuery, Cloud Storage, Vertex AI, networking, observability), MCP server setup, and a self-validating research pipeline that keeps every reference current.

vertex-ai

Build and deploy ML models and generative AI workloads — models, prompts, tuning and endpoints — on Vertex AI. Covers Model Garden, the Gemini API, custom training, endpoint deployment, and IAM. Warns before deploying endpoints (billable). Integrates with Vertex AI MCP server. Use when the user mentions: Gemini on GCP, vertex endpoint, generative AI GCP, vertex training, PaLM, vertex AI pipeline. Use this for models, training and endpoints; use agent-architect instead for anything agentic — Agent Builder, ADK, Agent Runtime, A2A, AP2 and multi-agent topologies all belong there, not here.

License
MIT
Read SKILL.md at the source

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