Will this skill make Claude ask too many questions?

No, it is optimized for efficiency. It is designed to ask a minimum set (1-5) of targeted, scannable questions and offers 'defaults' to keep the workflow moving quickly.

When should I use the Requirement Clarifier skill?

Use it whenever a task has multiple plausible interpretations or when key details regarding the project's environment, safety, or scope are missing.

How does this skill prevent Claude from making mistakes?

It forces Claude to identify 'must-have' information—like target environment, safety constraints, and specific goals—and requires user confirmation before performing any high-risk actions or major edits.

Can I bypass the questions if I'm in a hurry?

Yes. You can provide a 'fast-path' response like 'use defaults' or explicitly tell Claude to proceed with its own assumptions, which it will then state clearly for your records.

Requirement Clarifier

Name: Requirement Clarifier
Author: trailofbits

bytrailofbits

•

939

생산성 및 워크플로

Prevents wasted development effort by identifying underspecified tasks and asking targeted clarifying questions before implementation begins.

소개

The Requirement Clarifier skill streamlines the communication between developers and Claude by ensuring that project objectives, scope, and constraints are fully understood before any code is written. By identifying ambiguities in initial requests, it prompts Claude to pause and present structured, easy-to-answer questions—often with recommended defaults—to eliminate guesswork. This process minimizes the risk of 'wrong work,' ensures safety and compatibility requirements are met, and provides a clear path forward for complex or underspecified engineering tasks.

주요 기능

Pre-implementation pause to prevent unconfirmed file edits or commands
Automatic ambiguity detection for objectives, scope, and constraints
Smart default recommendations to minimize user decision fatigue
Fast-path response support for rapid workflow approval
939 GitHub stars
Structured question templates with scannable multiple-choice options

사용 사례

Establishing safety and rollback protocols for high-risk data migrations
Clarifying environment compatibility and dependencies before refactoring
Defining exact scope and acceptance criteria for vague feature requests

소개

주요 기능

Pre-implementation pause to prevent unconfirmed file edits or commands
Automatic ambiguity detection for objectives, scope, and constraints
Smart default recommendations to minimize user decision fatigue
Fast-path response support for rapid workflow approval
939 GitHub stars
Structured question templates with scannable multiple-choice options

사용 사례

Establishing safety and rollback protocols for high-risk data migrations
Clarifying environment compatibility and dependencies before refactoring
Defining exact scope and acceptance criteria for vague feature requests