Skill audit report

complete-ai-agent-stack-deployment-cloud-managed-from-scratch Audit report.

Sequences a complete, end-to-end AI agent stack deployment built on managed cloud services from scratch — a cloud landing zone, agent control-flow architecture, an LLM gateway routing across managed provider APIs (vendor-neutral: Anthropic/OpenAI/Azure OpenAI/Bedrock/ Vertex AI), a managed vector database for RAG, MCP servers for tool access, an evaluation-and-guardrails harness, and cost/latency monitoring. This is an integration/orchestration skill that sequences several existing tool-specific skills in the correct order and flags the handoff points between them — it does not restate their internals. Use when a user asks to "build a production AI agent stack using managed LLM APIs from scratch," "stand up an agent platform with a managed vector database and MCP tools," "give me the end-to-end sequence for a cloud-managed agent deployment," or "design the full pipeline from cloud account to a production agent with evals and cost monitoring."