---
schema_version: 1
id: RAC-KTQ63DV9DKSR
type: requirement
---
# v0.7 Prompts As Code

## Moved to v0.6.2 instead with more detailed criteria

## Problem

AI prompts are increasingly important knowledge assets.

Prompt quality is difficult to assess, compare, and maintain.

## Requirements

[REQ-001] RAC supports Prompt artifacts
[REQ-002] User can validate prompt documents
[REQ-003] Prompts contain objective section
[REQ-004] Prompts contain input specification
[REQ-005] Prompts contain output specification
[REQ-006] Prompts support examples
[REQ-007] User can identify missing examples
[REQ-008] User can identify ambiguous instructions
[REQ-009] User can identify missing output definitions
[REQ-010] User can compare prompt versions
[REQ-011] User can analyze prompt repositories

## Success Metrics

- Prompt validation used on real-world AI workflows
- Validation identifies quality issues before deployment
- Prompt changes become easier to review and understand

## Risks

- Prompt engineering practices evolve rapidly
- Prompt quality can be subjective
- Different AI providers may require different structures
