speckit-clarify.agent

Identify ambiguities in feature specifications and propose clarifying questions.

1|Updated Nov 20, 2025
One-click install
npx skills add https://github.com/stribus/pygerengastos --skill speckit-clarify-agent-stribus
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: speckit-clarify.agent
Source: https://github.com/stribus/pygerengastos/tree/main/.github/skills/speckit-clarify.agent
Command: npx skills add https://github.com/stribus/pygerengastos --skill speckit-clarify-agent-stribus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams identify underspecified areas in feature specifications and drive focused clarifications, reducing downstream rework and ambiguity in delivery.

Core Features & Use Cases

  • Ambiguity detection across functional, data, UX, and non-functional requirements.
  • A one-question-at-a-time workflow that proposes recommended options or concise short-answers.
  • Automatic integration of clarifications into a dedicated Clarifications section with a per-session log for auditing.

Quick Start

Run the Speckit clarification workflow to identify ambiguities and propose concrete questions.

Frequently Asked Questions about speckit-clarify.agent

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

FAQPage Schema
How do I identify ambiguities in a feature specification?

This Skill detects ambiguities across functional, data, UX, and non-functional requirements within a feature specification, proposing targeted clarifying questions to reduce downstream rework.

What is the best way to clarify requirements for AI-assisted workflows?

The best way to clarify requirements is using a stepwise, one-question-at-a-time workflow that proposes recommended options or concise short-answers, integrating clarifications into a dedicated spec section for auditing.

Can I update a spec in real time while resolving ambiguities?

Yes, you can update a spec in real time by operating within a stepwise loop that records accepted answers and integrates them into a dedicated Clarifications section, preserving the original structure for auditability.

How do I audit decisions made during spec refinement?

You audit spec refinement decisions by accessing a dedicated Clarifications section that preserves the original spec structure and maintains a per-session log of accepted answers for future planning.

Does the clarification workflow propose options for underspecified requirements?

Yes, the clarification workflow proposes recommended options or concise short-answers for underspecified requirements, operating one question at a time to drive focused clarifications and reduce ambiguity in delivery.