Can I quickly skip the clarification process?

Yes, you can simply reply with 'defaults' to accept all recommended options, or tell the assistant to 'proceed with assumptions' to move forward immediately.

Will it ask too many questions?

No, the skill is specifically designed to ask a minimum set (1-5) of high-impact questions in a scannable, numbered format to minimize friction.

What happens if I don't know the answer to a question?

The skill typically includes a 'Not sure - use default' option, allowing the AI to apply industry best practices or project standards when you're undecided.

How does this skill help save time?

It prevents Claude from writing code based on incorrect assumptions, saving you from having to undo, revert, or fix implementations that didn't meet your unstated needs.

Requirement Clarifier

Name: Requirement Clarifier
Author: bhandras

bybhandras

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Productivity & Workflow

Asks targeted clarifying questions for underspecified tasks to ensure accurate implementation and reduce rework.

About

The Requirement Clarifier skill optimizes the interaction between users and Claude Code by identifying ambiguous requests early in the process. Instead of making assumptions that could lead to incorrect code or wasted effort, this skill triggers a structured clarification workflow. It analyzes tasks for missing scope, constraints, or acceptance criteria and presents the user with 1-5 concise, multiple-choice questions. By providing recommended defaults and a fast-path response system, it ensures that the objective is perfectly aligned before a single line of code is written.

Key Features

Pre-implementation requirement restatement for final confirmation
Structured multiple-choice questions with recommended defaults
2 GitHub stars
Automated ambiguity detection for underspecified prompts
Fast-path 'defaults' command to quickly bypass low-stakes decisions
Safety-first logic that pauses execution until critical unknowns are resolved

Use Cases

When starting a broad refactor where the specific end-state isn't defined
When a request could be implemented using multiple different libraries or patterns
When technical constraints like browser support or performance targets are missing

About

Key Features

Pre-implementation requirement restatement for final confirmation
Structured multiple-choice questions with recommended defaults
2 GitHub stars
Automated ambiguity detection for underspecified prompts
Fast-path 'defaults' command to quickly bypass low-stakes decisions
Safety-first logic that pauses execution until critical unknowns are resolved

Use Cases

When starting a broad refactor where the specific end-state isn't defined
When a request could be implemented using multiple different libraries or patterns
When technical constraints like browser support or performance targets are missing