Will it ask too many questions at once?

No. The skill follows a 'minimal questions' rule, limiting itself to a maximum of three prioritized questions per iteration to keep the process efficient.

Does this skill help with technical decision-making?

Yes. If you have an open question (like which database to use), the skill identifies prerequisite information needed, analyzes trade-offs, and provides a recommendation.

When should I trigger the Clarify skill?

You should use it whenever a request is underspecified, when you want to 'refine requirements', or when you are unsure about the implementation details of a new feature.

Can I save the clarified requirements to my project?

Yes, once the clarification process is complete, the skill offers to save the finalized specification as a structured Markdown file in your repository.

How does the clarity level assessment work?

The skill ranks requirements from Level 1 (almost everything unclear) to Level 5 (ready for implementation), helping you track the progress of your specification.

Requirement Clarifier

Name: Requirement Clarifier
Author: corca-ai

bycorca-ai

0•

생산성 및 워크플로

Transforms vague or ambiguous specifications into precise, actionable requirements through iterative, structured questioning.

The Clarify skill acts as an essential bridge between initial ideas and production-ready code by systematically identifying missing details, edge cases, and architectural uncertainties. It employs a five-level clarity assessment framework to evaluate the readiness of a request and uses a structured questioning loop to extract intent. By providing concrete options and analyzing trade-offs, it ensures that developers and AI assistants have a shared, unambiguous understanding of the task before any implementation begins, preventing costly rework and misaligned features.

주요 기능

01Before-and-after comparison summaries to document finalized specifications

02Iterative questioning loop to resolve implicit and decision-level ambiguities

030 GitHub stars

04Automated generation of concrete options (2-4 choices) for faster decision-making

05Systematic clarity scoring (Levels 1-5) to measure requirement readiness

06GitHub repository context awareness to align requirements with existing architecture

사용 사례

01Investigating vague bug reports to establish reproducible steps and success criteria

02Refining broad feature requests like 'add a login system' into detailed technical specs

03Evaluating architectural trade-offs between different libraries or implementation paths

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add corca-ai/public-agents-and-skills clarify

For use in Claude.ai and ChatGPT

Download Skill