How does this skill improve development speed?

By using compact reply formats like '1a 2b', you can validate complex technical directions in seconds instead of long chat threads.

What happens if I want Claude to just proceed with its assumptions?

The skill will list its assumptions clearly and ask for your confirmation before starting, ensuring you are aware of the risks.

Does this skill make Claude ask questions every time?

No, it is designed to be invoked explicitly when a task is complex or requirements are underspecified.

Why should I use the Follow-Up Questions skill?

It prevents 'wrong work' by ensuring Claude understands the scope, constraints, and definition of done before writing any code.

Requirement Clarifier

Name: Requirement Clarifier
Author: Treytucker05

byTreytucker05

Productivity & Workflow

Ensures project success by systematically identifying and clarifying ambiguous requirements before code implementation begins.

About

The Ask Any Follow-Up Questions skill prevents wasted effort and rework by mandating a structured clarification phase for Claude. It forces the AI to identify gaps in objectives, scope, and technical constraints, presenting them as concise, scannable options for the user. By requiring explicit confirmation or assumption validation before executing commands or modifying files, this skill ensures that development stays aligned with user expectations, particularly in complex or under-specified environments.

Key Features

Requirement restatement and confirmation before final implementation
Low-risk discovery mode to inspect project context without committing to a direction
Structured clarification workflow for must-have and nice-to-have requirements
Multiple-choice and default-option formatting for rapid user responses
0 GitHub stars
Safety-first approach that pauses command execution until constraints are confirmed

Use Cases

Defining 'Definition of Done' and edge cases for new unit tests or features
Ensuring environment compatibility and performance constraints are met before refactoring
Refining vague feature requests into actionable technical specifications

About

Key Features

Requirement restatement and confirmation before final implementation
Low-risk discovery mode to inspect project context without committing to a direction
Structured clarification workflow for must-have and nice-to-have requirements
Multiple-choice and default-option formatting for rapid user responses
0 GitHub stars
Safety-first approach that pauses command execution until constraints are confirmed

Use Cases

Defining 'Definition of Done' and edge cases for new unit tests or features
Ensuring environment compatibility and performance constraints are met before refactoring
Refining vague feature requests into actionable technical specifications