Antoine
3289a76e19
- 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
75 lines
1.9 KiB
Markdown
75 lines
1.9 KiB
Markdown
# Atomizer QUICK_REF
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> 2-page maximum intent: fastest lookup for humans + Claude Code.
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> If it grows, split into WORKFLOWS/* and PROTOCOLS/*.
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_Last updated: 2026-01-29 (Mario)_
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---
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## 0) Non-negotiables (Safety / Correctness)
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### NX process safety
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- **NEVER** kill `ugraf.exe` / user NX sessions directly.
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- Only close NX using **NXSessionManager.close_nx_if_allowed()** (sessions we started).
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### Study derivation
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- When creating a new study version: **COPY the working `run_optimization.py` first**. Never rewrite from scratch.
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### Relative WFE
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- **NEVER** compute relative WFE as `abs(RMS_a - RMS_b)`.
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- Always use `extract_relative()` (node-by-node difference → Zernike fit → RMS).
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### CMA-ES baseline
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- `CmaEsSampler(x0=...)` does **not** evaluate baseline first.
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- Always `study.enqueue_trial(x0)` when baseline must be trial 0.
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---
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## 1) Canonical workflow order (UI + docs)
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**Create → Validate → Run → Analyze → Report → Deliver**
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Canvas is a **visual validation layer**. Spec is the source of truth.
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---
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## 2) Single source of truth: AtomizerSpec v2.0
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- Published spec: `studies/<topic>/<study>/atomizer_spec.json`
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- Canvas edges are for visual validation; truth is in:
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- `objective.source.*`
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- `constraint.source.*`
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---
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## 3) Save strategy (S2)
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- **Draft**: autosaved locally (browser storage)
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- **Publish**: explicit action that writes to `atomizer_spec.json`
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---
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## 4) Key folders
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- `optimization_engine/` core logic
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- `atomizer-dashboard/` UI + backend
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- `knowledge_base/lac/` learnings (failures/workarounds/patterns)
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- `studies/` studies
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---
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## 5) Session start (Claude Code)
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1. Read `PROJECT_STATUS.md`
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2. Read `knowledge_base/lac/session_insights/failure.jsonl`
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3. Read this file (`docs/QUICK_REF.md`)
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---
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## 6) References
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- Deep protocols: `docs/protocols/`
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- System instructions: `CLAUDE.md`
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- Project coordination: `PROJECT_STATUS.md`
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