vertex-agent-builder
Build and deploy production-ready generative AI agents using Vertex AI, Gemini models, and Google Cloud infrastructure with RAG, function calling, and multi-modal capabilities. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
npx skills add majiayu000/claude-skill-registry --skill vertex-agent-builder-brmbobo-web2podcast --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Vertex AI Agent Builder Build and deploy production-ready agents on Vertex AI with Gemini models, retrieval (RAG), function calling, and operational guardrails (validation, monitoring, cost controls). ## Overview - Produces an agent scaffold aligned with Vertex AI Agent Engine deployment patterns. - Helps choose models/regions, design tool/function interfaces, and wire up retrieval. - Includes an evaluation + smoke-test checklist so deployments don’t regress. ## Prerequisites - Google Cloud project with Vertex AI API enabled - Permissions to deploy/operate Agent Engine runtimes (or a local-only build target) - If using RAG: a document source (GCS/BigQuery/Firestore/etc) and an embeddings/index strategy - Secrets handled via env vars or Secret Manager (never committed) ## Instructions 1. Clarify the agent’s job (user intents, inputs/outputs, latency and cost constraints). 2. Choose model + region and define tool/function interfaces (schemas, error contracts). 3. Implement retrieval (if needed): chunking, embeddings, index, and a “citation-first” response format. 4. Add evaluation: golden prompts, offline checks, and a minimal online smoke test. 5. Deploy (optional): provide the ex
- Overview
- Prerequisites
- Instructions
- Output
- Error Handling
- Examples
- Resources
What does the vertex-agent-builder skill do?
Build and deploy production-ready generative AI agents using Vertex AI, Gemini models, and Google Cloud infrastructure with RAG, function calling, and multi-modal capabilities. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill vertex-agent-builder-brmbobo-web2podcast --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.