doc-prd
π―Skillfrom vladm3105/aidoc-flow-framework
Generates comprehensive product requirement documents (PRDs) by transforming business requirements into structured, AI-assisted product specifications.
Installation
npx skills add https://github.com/vladm3105/aidoc-flow-framework --skill doc-prdSkill Details
Overview
# AI Dev Flow Framework
# AI Dev Flow Framework
Specification-Driven Development (SDD) Template System for AI-Assisted Software Engineering
[](https://opensource.org/licenses/MIT)
[](./ai_dev_flow/SPEC_DRIVEN_DEVELOPMENT_GUIDE.md)
Overview
The AI Dev Flow Framework is a comprehensive template system for implementing AI-Driven Specification-Driven Development (SDD). It provides structured workflows, document templates, and traceability mechanisms to transform business requirements into production-ready code through a systematic, traceable approach optimized for AI-assisted development.
> MVP Note: When using the MVP track, all artifacts are single, flat files. Do not use document splitting or DOCUMENT_SPLITTING_RULES.md.
Automation Philosophy: Maximum Velocity to Production
PRIMARY GOAL: Fastest Transition from Business Idea to Production MVP
AI Dev Flow eliminates manual bottlenecks through intelligent automation and strategic human oversight.
Automation Capabilities:
- Quality-Gated Automation: Replace mandatory checkpoints with AI-scored quality validation
- Auto-approve if quality score β₯ threshold (90-95%)
- Human review only if score fails
- Result: Up to 93% automation (12 of 13 production layers)
- AI Code Generation: YAML specs β Production-ready code
- Auto-Fix Testing: 3 retry attempts reduce manual debugging
- Strategic Checkpoints: Only 5 critical decisions need human approval if quality score < threshold (90%)
- Continuous Pipeline: Automated validation, security scanning, deployment builds
Human-in-the-Loop Checkpoints (Quality Gates):
| Layer | Checkpoint | Why Human Review? |
|-------|------------|------------------|
| L1 (BRD) | Business owner approves | Strategic business alignment |
| L2 (PRD) | Product manager approves | Product vision validation |
| L5 (ADR) | Architect approves | Technical architecture decisions |
| L11 (Code) | Developer reviews | Code quality and security |
| L13 (Deployment) | Ops approves | Production release gating |
Automated Layers (No human intervention required):
- L3 (EARS), L4 (BDD), L6 (SYS), L7 (REQ), L8 (CTR), L9 (SPEC), L10 (TASKS), L12 (Tests)
Result: Dramatically reduced manual effort while maintaining quality through strategic oversight.
MVP Delivery Loop: Iterative Product Development
AI Dev Flow supports continuous product evolution through iterative MVP cycles:
The Delivery Loop:
```
βββββββββββββββββββββββββββββββββββββββββββββββββββ
β MVP v1.0 β Defect Fixes β Production Release β
β β β
β MVP v2.0 (Add Features) β Market Feedback β
β β β
β Defect Fixes β Production β
β β β
β MVP v3.0 (Add Features) β ... β
βββββββββββββββββββββββββββββββββββββββββββββββββββ
```
Key Benefits:
- Rapid Iteration: Complete L1-L13 pipeline with 90% automation
- Incremental Features: Add features as new MVPs, preserve working product
- Production Focus: Every MVP targets production deployment
- Cumulative Traceability: Each MVP inherits and extends previous version's artifacts
How Automation Enables the Loop:
| Stage | Automation Support |
|-------|-------------------|
| Build MVP v1.0 | Full L1-L13 automation (90% automated) |
| Fix Defects | Auto-retry testing (3x), auto-fix capabilities |
| Deploy to Production | Automated build, validation, security scans |
| Add Features (MVP v2.0) | Reuse or create new BRD/PRD/ADR, auto-generate new REQβCODE |
| Iterate | Cumulative tags enable impact analysis |
MVP Evolution Example:
- MVP 1.0: User authentication β Production
- Defect Fixes: Password reset bugs β Production
- **MVP 2
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