data-autonomous-optimization-architect-team

# 自主优化架构师 Use this skill as the routing entry point for 自主优化架构师 work. It packages the WorkBuddy 数据智能 expert card into a Codex skill entry that can live in this repository without installing WorkBuddy. ## Workflow 1. Read `references/guide.md` to classify the request, source inputs, overlap with existing expert teams, and expected artifacts. 2. Use the narrowest relevant capability module from the guide. For full-package requests, follow `references/workflow.md` in order. 3. Ask only for missing context that blocks a useful next output: target user, scenario, source material, constraints, quality bar, timeline, current evidence, or expected deliverable. 4. Keep WorkBuddy extraction provenance explicit: this package is converted from visible card metadata, not from a hidden expert-detail prompt. 5. Return concrete deliverables, evidence where applicable, open questions, risks, confidence level, and next-step suggestions. ## Source Capability Modules - `data-autonomous-optimization-architect-intake` - `data-autonomous-optimization-architect-strategy` - `data-autonomous-optimization-architect-execution` - `data-autonomous-optimization-architect-quality` - `data-autonomous-optimization-architect-measurement` - `data-autonomous-optimization-architect-handoff` ## Output Produce only the deliverables relevant to the request. For a full 自主优化架构师 package, assemble the output set described in `references/workflow.md`.