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adaptationio

ac-spec-generator

by adaptationio

0🍴 0📅 2026年1月24日
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SKILL.md


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

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.

スコア

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50/100

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