Asks targeted clarifying questions for underspecified tasks to ensure accurate implementation and reduce rework.
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
01Pre-implementation requirement restatement for final confirmation
02Structured multiple-choice questions with recommended defaults
032 GitHub stars
04Automated ambiguity detection for underspecified prompts
05Fast-path 'defaults' command to quickly bypass low-stakes decisions
06Safety-first logic that pauses execution until critical unknowns are resolved
Use Cases
01When starting a broad refactor where the specific end-state isn't defined
02When a request could be implemented using multiple different libraries or patterns
03When technical constraints like browser support or performance targets are missing
