ac-spec-generator

Transforms parsed specifications into actionable feature lists with testable acceptance criteria, enabling autonomous implementation.

```python

from scripts.spec_generator import SpecGenerator

generator = SpecGenerator(project_dir)

feature_list = await generator.generate(spec)

await generator.save_feature_list(feature_list)

```

```json

{

"features": [

{

"id": "auth-001",

"description": "User can register with email and password",

"category": "authentication",

"status": "pending",

"passes": false,

"test_cases": [

"Valid registration creates user",

"Duplicate email shows error",

"Weak password rejected"

],

"dependencies": [],

"estimated_effort": "2h",

"priority": 1

}

],

"total": 50,

"completed": 0,

"metadata": {

"generated_at": "2024-01-15T10:00:00Z",

"spec_version": "1.0.0"

}

}

```

Feature Decomposition

• Break requirements into atomic, testable units
• Generate 50-100+ features for comprehensive coverage
• Order by dependency (foundations first)
• Group by category for organization

Categories

• core: Essential functionality
• authentication: Login/register/permissions
• data: Models, storage, retrieval
• api: Endpoints, integrations
• ui: User interface components
• testing: Test infrastructure
• deployment: CI/CD, hosting

Priority Assignment

1. Critical: Blocks other features
2. High: Core functionality
3. Medium: Important but not blocking
4. Low: Nice-to-have, polish

1. Parse: Load and validate spec
2. Analyze: Identify requirement patterns
3. Decompose: Break into atomic features
4. Prioritize: Assign priority and order
5. Enrich: Add test cases and estimates
6. Export: Save feature_list.json

• Input: Parsed spec from ac-spec-parser
• Output: Feature list for ac-state-tracker
• Uses: ac-complexity-assessor for estimates

See scripts/spec_generator.py for full implementation.