How does it handle ambiguity in my requirements?

It specifically looks for vague terms like 'fast' or 'responsive' and creates checklist items to ensure these are quantified with measurable criteria.

Can I use this for non-Chinese projects?

While the output and terminology are optimized for Chinese (zh), the logical validation principles are universal for any software specification.

Is this skill compatible with other AI assistants?

Yes, it follows the Claude Code Skills approach and is compatible with various CLI and IDE assistants that support AGENTS.md and Spec-driven development.

Does this skill test my code implementation?

No, it focuses on the quality of your requirements. It acts as a 'unit test for specs' to ensure they are clear and complete before you write any code.

Where are the generated checklists stored?

The skill automatically creates a 'checklists/' directory within your feature folder and generates uniquely named Markdown files based on the domain (e.g., ux.md, api.md).

Requirement Quality Validator (speckit-checklist-zh)

Name: Requirement Quality Validator (speckit-checklist-zh)
Author: forztf

byforztf

•

Seguridad y Pruebas

Generates professional, domain-specific checklists to validate the quality, clarity, and completeness of software requirements.

Acerca de

speckit-checklist-zh is a specialized Spec-driven development (SDD) tool for Claude Code that acts as a 'unit test suite for requirements.' Instead of testing code implementation, it evaluates the specification itself for gaps, ambiguities, and inconsistencies. By generating localized Chinese checklists based on user intent and project context, it ensures that features are well-defined, measurable, and ready for implementation, significantly reducing development rework caused by vague or incomplete specifications.

Características Principales

Standardized output templates with traceability references to specific sections of your project documentation.
Automated context extraction from project specs, plans, and task files to identify missing requirements.
2 GitHub stars
Support for specialized validation domains including UX, API, Security, Performance, and Edge Case coverage.
Dynamic clarification of intent through context-aware questioning to refine checklist scope.
Generates 'Unit Tests for Requirements' focusing on quality dimensions like clarity, consistency, and completeness.

Casos de Uso

Standardizing quality gates for developers and product managers to ensure consistent requirement documentation.
Pre-implementation specification review to identify hidden ambiguities or missing edge cases before coding begins.
Validating the consistency between user interface requirements and backend API specifications.

Acerca de

Características Principales

Standardized output templates with traceability references to specific sections of your project documentation.
Automated context extraction from project specs, plans, and task files to identify missing requirements.
2 GitHub stars
Support for specialized validation domains including UX, API, Security, Performance, and Edge Case coverage.
Dynamic clarification of intent through context-aware questioning to refine checklist scope.
Generates 'Unit Tests for Requirements' focusing on quality dimensions like clarity, consistency, and completeness.

Casos de Uso

Standardizing quality gates for developers and product managers to ensure consistent requirement documentation.
Pre-implementation specification review to identify hidden ambiguities or missing edge cases before coding begins.
Validating the consistency between user interface requirements and backend API specifications.