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/technical-lead/MEMORY.md

@@ -0,0 +1,22 @@
+# MEMORY.md — Technical Lead Long-Term Memory
+
+## Atomizer Framework Knowledge
+
+### LAC Pattern (Load-Analyze-Compare)
+- Core pattern: parametric model → load conditions → FEA solve → extract results → compare → iterate
+- Implemented in Python, runs on Windows (NX/Simcenter)
+- Syncthing bridges job files between T420 (agents) and dalidou (NX)
+
+### Solver Notes
+- NX Nastran: SOL 101 (static), 103 (modal), 105 (buckling), 106 (nonlinear), 200 (optimization)
+- Default mesh: CQUAD4/CHEXA for most structural work
+- Always run mesh convergence studies on new geometries
+
+## Technical Decisions Log
+*(Record all technical decisions with reasoning here)*
+
+## FEA Lessons Learned
+*(Accumulate solver quirks, best practices, gotchas here)*
+
+## Active Analyses
+*(Track ongoing technical work here)*