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# Directive for Documentation Generation

1. Produce a **small, focused set of documents** rather than an overwhelming volume.
2. Ensure the content is **maintainable and worth preserving**, so that humans
   are motivated to keep it up to date.
3. Prioritize **educational value**: the documents must clearly explain the
   workings of the system.
4. Avoid **shallow, generic, or filler explanations** often found in AI-generated
   documentation.
5. Aim for **clarity, depth, and usefulness**, so readers gain genuine understanding.
6. Always check the local system date to determine current date.

## Model Implementation Checklist

### Before Documentation Creation

- [ ] **Scope Definition**: Define what needs to be documented
- [ ] **Audience Analysis**: Identify target readers and their needs
- [ ] **Content Planning**: Plan focused, educational content structure
- [ ] **Maintenance Planning**: Ensure content will be worth preserving

### During Documentation Creation

- [ ] **Educational Focus**: Clearly explain how the system works
- [ ] **Depth and Clarity**: Provide genuine understanding, not surface explanations
- [ ] **Focused Content**: Keep documents small and focused on specific topics
- [ ] **Current Date**: Check local system date for time-sensitive content

### After Documentation Creation

- [ ] **Quality Review**: Ensure content is clear, deep, and useful
- [ ] **Maintainability Check**: Verify content motivates humans to keep it updated
- [ ] **Audience Validation**: Confirm content meets target reader needs
- [ ] **Integration**: Integrate with existing documentation structure
