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alfredoperez
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speckit-checklist

Generate detailed checklists to validate AI-generated spec requirements in Spec-Driven Development workflows.

80|21|Updated Dec 2, 2025
Search Tags:#quality assurance#spec-driven development#requirement validation#SDD checklist#AI specifications
One-click install
npx skills add https://github.com/alfredoperez/speckit-companion --skill speckit-checklist-alfredoperez
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: speckit-checklist
Source: https://github.com/alfredoperez/speckit-companion/tree/main/.cursor/skills/speckit-checklist
Command: npx skills add https://github.com/alfredoperez/speckit-companion --skill speckit-checklist-alfredoperez

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Ensures the quality, clarity, and completeness of AI-generated requirements, preventing poor specifications from becoming flawed code.

Core Features & Use Cases

  • Comprehensive Checklist Generation: Based on user input and spec contents, generate a detailed checklist to validate requirements.
  • Feature-specific Focus: Customizable for different features with questions aligned to requirement quality dimensions.
  • Integration with SpecKit: Compatible with projects structured for Spec-Driven Development (SDD) with .specify/ directories.

Quick Start

Create a checklist for a feature by using the 'speckit-checklist' command in your VS Code SpecKit project.

Frequently Asked Questions about speckit-checklist

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate the quality and completeness of AI-generated specifications?▼

Validating AI-generated specifications involves generating detailed checklists that assess requirement quality, clarity, and completeness to prevent poor specs from becoming flawed code. This ensures high-quality outputs in Spec-Driven Development workflows.

What is the best way to implement a spec-driven development checklist for new features?▼

Implementing an SDD checklist involves generating feature-specific questions aligned to requirement quality dimensions. This approach tailors the validation process to your specific project needs, ensuring comprehensive requirement validation.

Does requirement validation work with projects using a .specify directory structure?▼

Requirement validation integrates directly with projects structured for Spec-Driven Development using a .specify directory. It operates within these SDD-structured projects to validate specs and maintain code quality.

Can I add custom checks to my SDD checklist generation process?▼

You can add custom checks to the SDD checklist generation process by using hooks. These hooks allow you to inject custom validations and checks tailored to your specific project requirements.

Do I need Python to generate requirement validation checklists for AI specs?▼

Python is required as a dependency to generate requirement validation checklists for AI specs. The scripts used for checklist generation and validation rely on the Python environment to function.

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