speckit-clarify
SolidStructured clarification workflow for underspecified requirements. Use before planning to resolve ambiguities through coverage-based questioning. Records answers in spec clarifications section.
Install
Quality Score: 94/100
Skill Content
Details
- Author
- foryourhealth111-pixel
- Repository
- foryourhealth111-pixel/Vibe-Skills
- Created
- 3 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- Apache-2.0
Similar Skills
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speckit-clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
speckit-clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
speckit-clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
speckit-clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
clarify
Hypothesis-based clarification pipeline that transforms ambiguous user requests into precise, actionable specifications through structured MCQ (multiple-choice questions). Classifies ambiguity into three types: vague (unclear intent), unknown (missing information), metamedium (scope/boundary undefined). Generates targeted questions per type. Auto-activates when: ambiguity score >= threshold, multi-intent conflicts detected, or user explicitly asks for clarification. Triggers: clarify, unclear, what do you mean, ambiguous, vague, specify, 명확히, 구체적으로, 뭘 원하시는지