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speckit-clarify

Identify missing decision points in spec-kit feature files and record accepted answers in-place.

2|Updated Feb 16, 2026
Search Tags:#requirements#user stories#spec updates#feature spec#ambiguity detection#spec clarification#QA alignment
One-click install
npx skills add https://github.com/d0whc3r/statsig-browser-extension --skill speckit-clarify-d0whc3r
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: speckit-clarify
Source: https://github.com/d0whc3r/statsig-browser-extension/tree/main/.trae/skills/speckit-clarify
Command: npx skills add https://github.com/d0whc3r/statsig-browser-extension --skill speckit-clarify-d0whc3r

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It reduces ambiguity in your active feature specification by asking only the most impactful missing questions, then writes the answers back into the spec.

Core Features & Use Cases

  • Targeted clarification: Detects underspecified areas across functional, data, UX, quality attributes, integrations, edge cases, tradeoffs, and terminology.
  • Quota-controlled questioning: Asks up to 5 highly targeted questions one at a time to minimize disruption.
  • Spec updates after each answer: Incrementally records each accepted clarification in the appropriate section and saves the updated spec immediately.

Quick Start

Run /speckit.clarify and answer the single question it asks to update your feature spec with concrete decisions.

Frequently Asked Questions about speckit-clarify

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

FAQPage Schema
How do I clarify ambiguous requirements in a feature spec?▼

To clarify ambiguous requirements, the Skill scans your feature spec for underspecified decision points and asks up to five targeted questions one at a time, writing each accepted answer directly back into the specification file to resolve gaps.

How do I detect missing decision points in structured user stories?▼

Missing decision points are detected by scanning the loaded feature spec across functional, data, UX, quality attributes, integrations, edge cases, tradeoffs, and terminology, identifying high-impact areas that lack concrete decisions.

Does spec clarification work with structured spec-kit feature directories?▼

Spec clarification works specifically with structured spec-kit projects that use .specify feature directories, requiring the current feature spec to be loaded for ambiguity scanning before any questions are generated.

Can I update a feature spec in-place while resolving ambiguity?▼

You can update a feature spec in-place because the Skill incrementally records each accepted clarification in the appropriate section and saves the updated spec immediately after every answer without waiting for the full session to complete.

What is the questioning quota for targeted spec clarification?▼

The questioning quota is a maximum of five highly targeted questions asked one at a time, minimizing disruption while ensuring compliance with answer constraints and the overall questioning limit.

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