ambiguity-detector
SolidDetects and analyzes ambiguous language in software requirements and user stories. Use when reviewing requirements documents, user stories, specifications, or any software requirement text to identify vague quantifiers, unclear scope, undefined terms, missing edge cases, subjective language, and incomplete specifications. Provides detailed analysis with clarifying questions and suggested improvements.
Install
Quality Score: 87/100
Skill Content
Details
- Author
- ArabelaTso
- Repository
- ArabelaTso/Skills-4-SE
- Created
- 6 months ago
- Last Updated
- today
- Language
- Python
- License
- Apache-2.0
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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
requirement-ambiguity-hunt
Find what a user story does not say before writing a single test - undefined terms, unstated clocks, cross-rule contradictions, missing error paths - and turn each into a numbered question for the product owner instead of a silent guess baked into an assertion.
ambiguity-resolver
Structure vague opportunities and unclear briefs into actionable one-page problem statements. Use when asked to clarify a vague brief, frame an undefined problem, make sense of an unclear opportunity, or when the user says 'we need to figure out what to do about X' or 'I've been asked to look into Y'. Produces a structured problem brief with reframed questions, scoped boundaries, and a minimum viable research plan.