docs: Final documentation polish and consistency fixes
- Update README.md with LLM assistant section - Create optimization_memory JSONL structure - Move implementation plans from skills/modules to docs/plans - Verify all imports work correctly 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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README.md
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README.md
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---
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## For AI Assistants
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Atomizer is designed for LLM-first interaction. Key resources:
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- **[CLAUDE.md](CLAUDE.md)** - System instructions for Claude Code
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- **[.claude/skills/](/.claude/skills/)** - LLM skill modules
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- **[docs/protocols/](docs/protocols/)** - Protocol Operating System
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### Knowledge Base (LAC)
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The Learning Atomizer Core (`knowledge_base/lac/`) accumulates optimization knowledge:
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- `session_insights/` - Learnings from past sessions
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- `optimization_memory/` - Optimization outcomes by geometry type
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- `playbook.json` - ACE framework knowledge store
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For detailed AI interaction guidance, see CLAUDE.md.
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---
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## Environment
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**Critical**: Always use the `atomizer` conda environment:
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