ac-spec-generator

Generate feature lists from specifications. Use when creating feature_list.json, converting requirements to features, generating 50-100+ testable features, or initializing autonomous projects.

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Install skill "ac-spec-generator" with this command: npx skills add adaptationio/skrillz/adaptationio-skrillz-ac-spec-generator

AC Spec Generator

Generate comprehensive feature lists from project specifications.

Purpose

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

Quick Start

from scripts.spec_generator import SpecGenerator

generator = SpecGenerator(project_dir)
feature_list = await generator.generate(spec)
await generator.save_feature_list(feature_list)

Feature List Schema

{
  "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"
  }
}

Generation Strategy

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

Workflow

  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

Integration

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

API Reference

See scripts/spec_generator.py for full implementation.

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