speckit-clarify

Resolve ambiguities in feature specifications through structured interactive questioning.

48|3|Updated Oct 13, 2025
One-click install
npx skills add https://github.com/kalamdb/KalamDB --skill speckit-clarify-kalamdb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: speckit-clarify
Source: https://github.com/kalamdb/KalamDB/tree/main/.cursor/skills/speckit-clarify
Command: npx skills add https://github.com/kalamdb/KalamDB --skill speckit-clarify-kalamdb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the common issue of vague or incomplete feature specifications by systematically identifying missing decision points and recording clarifications directly into the project documentation.

Core Features & Use Cases

  • Ambiguity Detection: Performs a structured scan across functional, domain, UX, and non-functional categories to find gaps.
  • Interactive Clarification: Guides the user through a prioritized, high-impact questioning loop to resolve uncertainties.
  • Automated Integration: Automatically updates the feature specification file with the agreed-upon answers and re-validates quality checklists.

Quick Start

Invoke the speckit-clarify skill to scan the current feature specification and begin the interactive clarification process.

Frequently Asked Questions about speckit-clarify

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

FAQPage Schema
How do I resolve ambiguities in a feature specification before implementation?

To resolve ambiguities in a feature specification, you can use a structured questioning workflow that scans functional and non-functional categories to identify missing decision points and record clarifications directly into the source file.

What is the best way to identify missing requirements in technical documentation?

Identifying missing requirements in technical documentation involves performing a structured scan across functional, domain, and UX categories to find gaps and prioritize high-impact clarification questions.

How does interactive clarification work for feature specifications?

Interactive clarification works by guiding you through a prioritized questioning loop to resolve uncertainties, automatically integrating your answers directly into the feature specification file.

Can I validate updated specification requirements against existing quality checklists?

Yes, you can validate updated specification requirements against existing quality checklists to ensure technical and functional requirements remain fully defined after integrating new clarifications.

Do I need a specific project environment to clarify feature specs?

You need to operate within the spec-kit project environment to ensure the interactive clarification process can accurately validate updates and integrate decisions directly into the source specification.

What types of ambiguities are detected during a specification scan?

A specification scan detects ambiguities across functional, domain, UX, and non-functional categories to find gaps and ensure technical requirements are fully defined before implementation planning.