feat: Integrate Learning Atomizer Core (LAC) and master instructions

Add persistent knowledge system that enables Atomizer to learn from every
session and improve over time.

## New Files
- knowledge_base/lac.py: LAC class with optimization memory, session insights,
  and skill evolution tracking
- knowledge_base/__init__.py: Package initialization
- .claude/skills/modules/learning-atomizer-core.md: Full LAC skill documentation
- docs/07_DEVELOPMENT/ATOMIZER_CLAUDE_CODE_INSTRUCTIONS.md: Master instructions

## Updated Files
- CLAUDE.md: Added LAC section, communication style, AVERVS execution framework,
  error classification, and "Atomizer Claude" identity
- 00_BOOTSTRAP.md: Added session startup/closing checklists with LAC integration
- 01_CHEATSHEET.md: Added LAC CLI and Python API quick reference
- 02_CONTEXT_LOADER.md: Added LAC query section and anti-pattern

## LAC Features
- Query similar past optimizations before starting new ones
- Record insights (failures, success patterns, workarounds)
- Record optimization outcomes for future reference
- Suggest protocol improvements based on discoveries
- Simple JSONL storage (no database required)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

.claude/skills/01_CHEATSHEET.md

@@ -174,6 +174,41 @@ python -c "import optuna; s=optuna.load_study('my_study', 'sqlite:///2_results/s
 
 ---
 
+## LAC (Learning Atomizer Core) Commands
+
+```bash
+# View LAC statistics
+python knowledge_base/lac.py stats
+
+# Generate full LAC report
+python knowledge_base/lac.py report
+
+# View pending protocol updates
+python knowledge_base/lac.py pending
+
+# Query insights for a context
+python knowledge_base/lac.py insights "bracket mass optimization"
+```
+
+### Python API Quick Reference
+```python
+from knowledge_base.lac import get_lac
+lac = get_lac()
+
+# Query prior knowledge
+insights = lac.get_relevant_insights("bracket mass")
+similar = lac.query_similar_optimizations("bracket", ["mass"])
+rec = lac.get_best_method_for("bracket", n_objectives=1)
+
+# Record learning
+lac.record_insight("success_pattern", "context", "insight", confidence=0.8)
+
+# Record optimization outcome
+lac.record_optimization_outcome(study_name="...", geometry_type="...", ...)
+```
+
+---
+
 ## Error Quick Fixes
 
 | Error | Likely Cause | Quick Fix |