| name | generating-feature-content-context |
| description | Creates structured context packs that provide AI systems and content creators with complete information about a feature. Use when preparing for content generation, onboarding writers to features, or building AI-ready documentation. |
Generating Feature Content Context
Quick start
Collect or infer:
- Feature name and purpose
- User goals and tasks the feature supports
- Feature states (empty, loading, error, success, etc.)
- UI components and their copy needs
- Business rules and constraints
- Edge cases and exceptions
Then produce output using TEMPLATES.md. Validate with RUBRIC.md.
Workflow
- Identify the feature scope and boundaries
- Document user goals and primary tasks
- Map all feature states systematically
- Catalog UI components requiring copy
- Document business rules affecting content
- Capture edge cases and exception handling
- Compile terminology and naming decisions
- Validate completeness against rubric
- Run the rubric check. Revise until it passes.
Degrees of freedom
Freedom level: Low
- Default: follow templates exactly
- Allowed variation: depth of state coverage based on feature complexity—as long as rubric passes
- Strict constraints: Must cover all states; must include terminology; must document constraints
State awareness
- New feature: Build context as feature is designed; iterate with product/engineering
- Existing feature: Audit current copy to extract implicit context; document gaps
- Feature update: Start from existing context; document what's changing
- AI consumption: Ensure structured format; include examples for each component
References
