Review an in-repo specification pack and produce a prioritized backlog of architectural spike questions (design/research/prototyping) for a Python service on Google Cloud (Cloud Functions gen2 / Cloud Run) and LLM integrations. Use when you must identify gaps/risks before implementation. Output must be written to questions/arch_spikes.md (overwrite) and the chat response must only confirm the file path and spike counts.