feat: add Atomizer HQ multi-agent cluster infrastructure

- 8-agent OpenClaw cluster (Manager, Tech-Lead, Secretary, Auditor,
  Optimizer, Study-Builder, NX-Expert, Webster)
- Orchestration engine: orchestrate.py (sync delegation + handoffs)
- Workflow engine: YAML-defined multi-step pipelines
- Agent workspaces: SOUL.md, AGENTS.md, MEMORY.md per agent
- Shared skills: delegate, orchestrate, atomizer-protocols
- Capability registry (AGENTS_REGISTRY.json)
- Cluster management: cluster.sh, systemd template
- All secrets replaced with env var references

hq/workspaces/shared/workflows/material-trade-study.yaml

@@ -0,0 +1,58 @@
+name: Material Trade Study
+description: Research, evaluate, and audit material options for optical components
+trigger: manual
+
+inputs:
+  materials:
+    type: list
+    description: "Materials to compare"
+  requirements:
+    type: text
+    description: "Performance requirements and constraints"
+
+steps:
+  - id: research
+    agent: webster
+    task: |
+      Research the following materials: {inputs.materials}
+      For each material, find: CTE (with temperature range), density, Young's modulus,
+      cost per kg, lead time, availability, and any known issues for optical applications.
+      Provide sources for all data.
+    timeout: 180
+    retries: 2
+    output: material_data
+
+  - id: evaluate
+    agent: tech-lead
+    task: |
+      Evaluate these materials against our requirements:
+
+      REQUIREMENTS:
+      {inputs.requirements}
+
+      MATERIAL DATA:
+      {research}
+
+      Provide a recommendation with full rationale. Include a comparison matrix.
+    depends_on: [research]
+    timeout: 300
+    retries: 1
+    output: technical_assessment
+
+  - id: audit
+    agent: auditor
+    task: |
+      Review this material trade study for completeness, methodological rigor,
+      and potential gaps:
+
+      {evaluate}
+
+      Check: Are all requirements addressed? Are sources credible?
+      Are there materials that should have been considered but weren't?
+    depends_on: [evaluate]
+    timeout: 180
+    output: audit_result
+
+notifications:
+  on_complete: "Workflow complete"
+  on_failure: "Workflow failed"