Individual skill
vertex-agent-builder
Build and deploy generative AI agents on Vertex AI: Gemini model selection, RAG with grounded retrieval, function calling, multimodal extraction, evaluation, and Agent Engine deployment with operational guardrails (logs, alerts, cost controls). Use when designing, deploying, or operating Vertex AI agents on Google Cloud. Trigger with "build a Vertex agent", "deploy to Agent Engine", or "wire up RAG on Vertex AI".
plugins/ai-ml/jeremy-vertex-ai/skills/vertex-agent-builder/SKILL.md
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
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- developer-tools Repository topic
- llm Repository topic
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ARD.mddoc · 5,471 bytesPRD.mddoc · 6,605 bytesSKILL.mdcore · 3,609 bytesreferences/errors.mddoc · 5,723 bytesreferences/examples.mddoc · 6,650 bytesreferences/implementation.mddoc · 7,481 bytes
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# 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