Can I save the clarified requirements for my team?

Yes, once the requirements are refined, the skill can save a structured Markdown file (e.g., in a requirements/ directory) to serve as a single source of truth.

Does this skill help with project scoping?

Absolutely. It specifically probes for what is in-scope and what is explicitly excluded, preventing scope creep before the coding phase begins.

When should I use the Clarify skill?

Use it whenever a feature request or bug report is vague or open to interpretation, such as 'add a login' or 'the export is broken,' to ensure all edge cases are defined.

How does the Clarify skill interact with the user?

It uses the AskUserQuestion tool to present specific options and iterative questions, helping you make decisions efficiently through recognition rather than recall.

Requirement Clarifier

Name: Requirement Clarifier
Author: corca-ai

bycorca-ai

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Productivity & Workflow

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

About

The Clarify skill provides a rigorous framework for Claude to resolve ambiguity before implementation begins. By systematically probing for scope, constraints, and success criteria using structured questioning, it ensures that developers and stakeholders are aligned on the intended outcome. This skill eliminates guesswork, reduces logic errors, and generates professional-grade documentation including before-and-after comparisons and structured requirement files, making it an essential tool for high-quality software development workflows.

Key Features

Iterative questioning using the AskUserQuestion tool for precise user alignment
Automatic generation of Before/After requirement comparison summaries
20 GitHub stars
Decision tracking to log rationale and choices made during the refinement process
Structured ambiguity detection across categories like scope, data, and constraints
Support for exporting finalized specifications to project-specific markdown files

Use Cases

Establishing clear project boundaries and success criteria before writing code
Converting one-sentence feature requests into comprehensive technical specs
Resolving incomplete or vague bug reports into reproducible scenarios

About

Key Features

Iterative questioning using the AskUserQuestion tool for precise user alignment
Automatic generation of Before/After requirement comparison summaries
20 GitHub stars
Decision tracking to log rationale and choices made during the refinement process
Structured ambiguity detection across categories like scope, data, and constraints
Support for exporting finalized specifications to project-specific markdown files

Use Cases

Establishing clear project boundaries and success criteria before writing code
Converting one-sentence feature requests into comprehensive technical specs
Resolving incomplete or vague bug reports into reproducible scenarios