Skill audit report

complete-ai-agent-stack-deployment-self-hosted-from-scratch Audit report.

Sequences a complete, end-to-end, fully self-hosted AI agent stack deployment from scratch — GPU procurement/sizing for open-weight model serving, self-hosted LLM serving (vLLM/TGI), agent control-flow architecture, a self-hosted vector database for RAG, self-hosted MCP servers for tool access, and an evaluation/guardrails harness — with no managed LLM API or managed vector database anywhere in the stack. An integration/orchestration skill that sequences existing tool-specific skills in the right order and flags handoff points, explicit about the added GPU-procurement and operational burden versus a cloud-managed agent stack. Use when a user asks to "build a self-hosted AI agent stack with open-weight models," "run our agent on our own GPUs with no managed LLM API," "stand up a self-hosted vector database and MCP servers for an agent platform," or "give me the end-to-end sequence for a fully self-hosted agent deployment from GPU procurement to production."