Clarify vague product requirements into structured testable specifications.
npx skills add https://github.com/konglong87/superPM --skill pm-clarify-konglong87
Please help me install this Agent Skill. Skill: pm-clarify Source: https://github.com/konglong87/superPM/tree/main/skills/01-demand-insight/pm-clarify Command: npx skills add https://github.com/konglong87/superPM --skill pm-clarify-konglong87
This Skill helps you turn an initial, possibly vague product需求 into a structured, unambiguous requirements list with clear scenarios, boundaries, exception handling, and measurable acceptance criteria.
Ask the AI to run pm-clarify using your current initial需求 list, or first run /pm-demand if you haven’t prepared the requirement research report yet.
High-intent search queries and answers about installing and using this skill.
To turn vague product requirements into testable acceptance criteria, you iteratively clarify each need to define usage scenarios, boundaries, exception handling, and measurable conditions, outputting a structured markdown specification.
The best way to structure a requirements list is to capture specific fields for each need, including usage scenarios, concrete user behaviors, boundary conditions, and exception handling, ensuring delivery-ready specifications.
Yes, you can generate a markdown requirements specification without prior research by switching to a fast mode where you manually input core requirements for immediate clarification and drafting.
You can validate technical feasibility and market benchmarks during product planning by running parallel checks alongside requirement clarification to strengthen specification decision-making.
You need to clarify requirements scenario design before writing a markdown spec when you have an initial needs list that lacks defined boundaries, exception handling, and measurable acceptance criteria, preventing scope ambiguity.
Yes, requirement clarification reworks scope ambiguity for delivery-ready specs by iteratively deepening each requirement with guardrails to prevent rework and ensure measurable testability.
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