How does the Clarify skill reduce development errors?

It implements a structured protocol that identifies ambiguities early, forcing a resolution of scope and constraints before implementation begins, which prevents wasted effort on incorrect assumptions.

Does it support complex technical decision-making?

Yes, it uses 'Recognition over Recall' principles, providing specific options for authentication methods, data formats, and architectural constraints to help users make informed decisions.

Can I save the clarified requirements to my repository?

Yes, the skill includes a final phase that offers to save the refined specification as a Markdown file, typically within a /requirements folder in your project.

What triggers the Clarify skill in Claude Code?

It is triggered by keywords like '/clarify', 'refine requirements', or 'make this clearer', and also activates when Claude detects that a user's request is too vague to be actionable.

Requirement Clarifier

Name: Requirement Clarifier
Author: team-attention

byteam-attention

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313

Productivity & Workflow

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

About

The Clarify skill for Claude Code acts as a specialized requirements engineer, ensuring development never begins on flawed assumptions. It follows a rigorous four-phase protocol—Capture, Iterate, Compare, and Save—to drill down into the user's true intent. By using the AskUserQuestion tool to present specific options and categories (like scope, behavior, and data constraints), it replaces guesswork with certainty. The process culminates in a comprehensive 'Before vs. After' summary that can be exported directly to your project documentation, providing a clear roadmap for implementation.

Key Features

Categorized probing for scope, behavior, data, and constraints.
313 GitHub stars
Structured iterative questioning to resolve technical ambiguities.
Automatic generation of 'Before vs. After' requirement summaries.
Decision-tracking tables to document chosen paths and trade-offs.
Seamless export of clarified specifications to Markdown files.

Use Cases

Transforming high-level feature requests into detailed technical specs.
Standardizing project documentation during the initial planning phase.
Narrowing down vague bug reports into reproducible technical issues.

About

Key Features

Categorized probing for scope, behavior, data, and constraints.
313 GitHub stars
Structured iterative questioning to resolve technical ambiguities.
Automatic generation of 'Before vs. After' requirement summaries.
Decision-tracking tables to document chosen paths and trade-offs.
Seamless export of clarified specifications to Markdown files.

Use Cases

Transforming high-level feature requests into detailed technical specs.
Standardizing project documentation during the initial planning phase.
Narrowing down vague bug reports into reproducible technical issues.