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/02_CONTEXT_LOADER.md

@@ -22,6 +22,29 @@ requires_skills:
 2. **Expand on demand**: Load additional modules when signals detected
 3. **Single source of truth**: Each concept defined in ONE place
 4. **Layer progression**: Bootstrap → Operations → System → Extensions
+5. **Learn from history**: Query LAC for relevant prior knowledge
+
+---
+
+## Knowledge Base Query (LAC)
+
+**Before starting any task**, check LAC for relevant insights:
+
+```python
+from knowledge_base.lac import get_lac
+lac = get_lac()
+
+# Query relevant insights for the task
+insights = lac.get_relevant_insights("bracket mass optimization")
+
+# Check similar past optimizations
+similar = lac.query_similar_optimizations("bracket", ["mass"])
+
+# Get method recommendation
+rec = lac.get_best_method_for("bracket", n_objectives=1)
+```
+
+**Full LAC documentation**: `.claude/skills/modules/learning-atomizer-core.md`
 
 ---
 
@@ -321,3 +344,4 @@ When multiple modules could apply, load in this order:
 3. **Don't skip core skill**: For study creation, always load core first
 4. **Don't mix incompatible protocols**: P10 (single-obj) vs P11 (multi-obj)
 5. **Don't load deprecated docs**: Only use docs/protocols/* structure
+6. **Don't skip LAC query**: Always check prior knowledge before starting