Files
Atomizer/hq/shared/skills/knowledge-base-atomizer-ext.md
Antoine 3289a76e19 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
2026-02-15 21:18:18 +00:00

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6.6 KiB
Markdown

# Knowledge Base — Atomizer Extension
> Extension of Mario's shared `knowledge-base` skill for Atomizer HQ's agentic workflow.
>
> **Base skill:** `/home/papa/clawd/skills/knowledge-base/SKILL.md`
> **This file:** Atomizer-specific conventions for how agents use the KB system.
---
## Key Differences from Base Skill
### Location
- **Base:** KB lives in Obsidian vault (`/obsidian-vault/2-Projects/<Project>/KB/`)
- **Atomizer:** KB lives in Atomizer repo (`/repos/Atomizer/projects/<project>/kb/`)
- Same structure, different home. Gitea-browseable, git-tracked.
### Input Sources
- **Base:** Primarily video session exports via CAD-Documenter
- **Atomizer:** Mixed sources:
- CEO input via Slack channels
- Agent-generated analysis (Tech Lead breakdowns, optimization results)
- NX model introspection data
- Automated study results
- Video sessions (when applicable — uses base skill pipeline)
### Contributors
- **Base:** Single AI (Mario) processes sessions
- **Atomizer:** Multiple agents contribute:
| Agent | Writes To | When |
|-------|-----------|------|
| Manager 🎯 | `_index.md`, `_history.md`, `dev/gen-XXX.md` | After each project phase |
| Technical Lead 🔧 | `fea/`, `components/` (technical sections) | During analysis + review |
| Optimizer ⚡ (future) | `fea/results/`, `components/` (optimization data) | After study completion |
| Study Builder 🏗️ (future) | Study configs, introspection data | During study setup |
| CEO (Antoine) | Any file via Gitea or Slack input | Anytime |
---
## Project Structure (Atomizer Standard)
```
projects/<project-name>/
├── README.md # Project overview, status, links
├── CONTEXT.md # Intake requirements, constraints
├── BREAKDOWN.md # Technical analysis (Tech Lead)
├── DECISIONS.md # Numbered decision log
├── models/ # Reference NX models (golden copies)
│ ├── *.prt, *.sim, *.fem
│ └── README.md
├── kb/ # Living Knowledge Base
│ ├── _index.md # Master overview (auto-maintained)
│ ├── _history.md # Modification log per generation
│ ├── components/ # One file per component
│ ├── materials/ # Material data + cards
│ ├── fea/ # FEA knowledge
│ │ ├── models/ # Model setup docs
│ │ ├── load-cases/ # BCs, loads, conditions
│ │ └── results/ # Analysis outputs + validation
│ └── dev/ # Generation documents (gen-XXX.md)
├── images/ # Screenshots, plots, CAD renders
│ ├── components/
│ └── studies/
├── studies/ # Optimization campaigns
│ └── XX_<name>/
│ ├── README.md # Study goals, findings
│ ├── atomizer_spec.json
│ ├── model/ # Study-specific model copy
│ │ └── CHANGES.md # Delta from reference model
│ ├── introspection/ # Model discovery for this study
│ └── results/ # Outputs, plots, STUDY_REPORT.md
└── deliverables/ # Final client-facing outputs
├── FINAL_REPORT.md # Compiled from KB
└── RECOMMENDATIONS.md
```
---
## Agent Workflows
### 1. Project Intake (Manager)
```
CEO posts request → Manager creates:
- CONTEXT.md (from intake data)
- README.md (project overview)
- DECISIONS.md (empty template)
- kb/ structure (initialized)
- kb/dev/gen-001.md (intake generation)
→ Delegates technical breakdown to Tech Lead
```
### 2. Technical Breakdown (Tech Lead)
```
Manager delegates → Tech Lead produces:
- BREAKDOWN.md (full analysis)
- Updates kb/components/ with structural behavior
- Updates kb/fea/models/ with solver considerations
- Identifies gaps → listed in kb/_index.md
→ Manager creates gen-002 if substantial new knowledge
```
### 3. Model Introspection (Tech Lead / Study Builder)
```
Before each study:
- Copy reference models/ → studies/XX/model/
- Run NX introspection → studies/XX/introspection/
- Document changes in model/CHANGES.md
- Update kb/fea/ with any new model knowledge
```
### 4. Study Execution (Optimizer / Study Builder)
```
During/after optimization:
- Results written to studies/XX/results/
- STUDY_REPORT.md summarizes findings
- Key insights feed back into kb/:
- Component sensitivities → kb/components/
- FEA validation → kb/fea/results/
- New generation doc → kb/dev/gen-XXX.md
```
### 5. Deliverable Compilation (Reporter / Manager)
```
When project is complete:
- Compile kb/ → deliverables/FINAL_REPORT.md
- Use cad_kb.py cdr patterns for structured output
- Cross-reference DECISIONS.md for rationale
- Include key plots from images/ and studies/XX/results/plots/
```
---
## Generation Conventions
Each major project event creates a new generation document:
| Gen | Trigger | Author |
|-----|---------|--------|
| 001 | Project intake + initial breakdown | Manager |
| 002 | Gap resolution / model introspection | Tech Lead |
| 003 | DoE study complete (landscape insights) | Manager / Optimizer |
| 004 | Optimization complete (best design) | Manager / Optimizer |
| 005 | Validation / final review | Tech Lead |
Generation docs go in `kb/dev/gen-XXX.md` and follow the format:
```markdown
# Gen XXX — <Title>
**Date:** YYYY-MM-DD
**Sources:** <what triggered this>
**Author:** <agent>
## What Happened
## Key Findings
## KB Entries Created/Updated
## Decisions Made
## Open Items
## Next Steps
```
---
## Decision Log Conventions
All project decisions go in `DECISIONS.md`:
```markdown
## DEC-<PROJECT>-NNN: <Title>
- **Date:** YYYY-MM-DD
- **By:** <agent or person>
- **Decision:** <what was decided>
- **Rationale:** <why>
- **Status:** Proposed | Approved | Superseded by DEC-XXX
```
Agents MUST check DECISIONS.md before proposing changes that could contradict prior decisions.
---
## Relationship to Base Skill
- **Use base skill CLI** (`cad_kb.py`) when applicable — adapt paths to `projects/<name>/kb/`
- **Use base skill templates** for component files, generation docs
- **Follow base accumulation logic** — sessions add, never replace
- **Push general improvements upstream** — if we improve KB processing, notify Mario for potential merge into shared skill
---
## Handoff Protocol
When delegating KB-related work between agents, use OP_09 format and specify:
1. Which KB files to read for context
2. Which KB files to update with results
3. What generation number to use
4. Whether a new gen doc is needed