clarify-spec

Guide targeted questions to clarify specs and record answers into spec.md.

Updated Mar 22, 2026
One-click install
npx skills add https://github.com/patrickrmoore/sdd-test --skill clarify-spec-patrickrmoore
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clarify-spec
Source: https://github.com/patrickrmoore/sdd-test/tree/main/.github/skills/clarify-spec
Command: npx skills add https://github.com/patrickrmoore/sdd-test --skill clarify-spec-patrickrmoore

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill guides product teams through a structured clarification workflow to resolve ambiguities in specifications and automatically update the spec.md with accepted answers.

Core Features & Use Cases

  • Guided clarifications identify and prioritize critical ambiguities in a feature spec.
  • Question-driven refinement selects up to eight high-impact questions and records user decisions.
  • Atomic spec updates persist accepted answers to spec.md with a session history for cross-team alignment.

Quick Start

Start a clarification session to identify ambiguities, choose a mode, and update spec.md with the accepted answers.

Frequently Asked Questions about clarify-spec

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I clarify ambiguities in a product feature spec?

Spec clarification resolves ambiguities by guiding stakeholders through targeted questions about product, technical, and operational requirements, then recording accepted answers directly into spec.md for cross-team alignment.

What is the best way to update spec.md with refined requirements?

Updating spec.md with refined requirements is handled through atomic spec updates that persist accepted answers alongside a session history, ensuring feature-definition workflows maintain accurate and aligned documentation.

How do I resolve requirements ambiguity across stakeholders in a feature-definition workflow?

Resolving requirements ambiguity involves a guided clarification workflow that identifies critical ambiguities, selects up to eight high-impact questions, and captures user decisions to align stakeholders on feature specs.

Can I reuse existing research when clarifying product specifications?

Yes, clarifying product specifications optionally reuses existing research within the workflow, allowing teams to leverage prior findings while refining requirements and resolving ambiguities through targeted questions.

Does structured question handling limit how many ambiguities I can resolve at once?

Structured question handling selects up to eight high-impact questions per clarification session, prioritizing critical ambiguities to keep the refinement process focused and manageable for stakeholders.

When should I not use a guided clarification workflow for spec updates?

A guided clarification workflow is not ideal when a spec has no ambiguities to resolve or when stakeholders already have fully aligned requirements, as the process targets identifying and prioritizing critical gaps in feature definitions.