Ensures task accuracy by pausing to ask targeted clarifying questions when requests are vague or underspecified.
The Smart Task Clarifier is designed to eliminate wasted development effort caused by ambiguous prompts or missing requirements. By systematically evaluating requests against key criteria—such as scope, constraints, and success definitions—the skill prevents Claude from making incorrect assumptions. It prioritizes low-risk discovery reads of your codebase first, and if ambiguity remains, it presents a single round of high-impact, multiple-choice questions. This ensures that every coding task starts with a shared understanding of the objective, resulting in higher quality code and fewer manual corrections.
Key Features
0117 GitHub stars
02Standardized question templates with clear, recommended defaults
03Single-round clarification limit to maintain development momentum
04Context-aware history scanning to prevent redundant questioning
05Automated ambiguity detection based on objective, scope, and safety constraints
06Discovery-first logic that reads local files before bothering the user
Use Cases
01Identifying target environments and version constraints before refactoring
02Clarifying implementation boundaries when multiple architectural paths exist
03Defining specific acceptance criteria for broad feature requests
