openmates:clarify

Run a 5-round Q&A to clarify bug reports and feature ideas into a Task Brief.

43|2|Updated Jan 25, 2024
One-click install
npx skills add https://github.com/glowingkitty/OpenMates --skill openmates-clarify
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openmates:clarify
Source: https://github.com/glowingkitty/OpenMates/tree/main/.claude/skills/clarify
Command: npx skills add https://github.com/glowingkitty/OpenMates --skill openmates-clarify

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you fully understand a bug report or feature request by guiding a structured Q&A before any implementation starts, reducing rework and unclear requirements.

Core Features & Use Cases

  • Adaptive 5-round clarification: Asks exactly one high-value question per round, skipping topics already answered.
  • Context pre-loading for Linear issues: When given a Linear ID (e.g., OPE-123), it fetches issue details, related images, and comments to inform the questions.
  • Build-ready Task Brief output: Produces a structured brief including user impact, problem statement, expected/actual behavior (as applicable), scope, acceptance criteria, edge cases, affected areas, testing approach, and open questions.

Quick Start

Use openmates:clarify with your bug description, feature idea, or a Linear issue ID like OPE-123 to generate a complete Task Brief after 5 single-question rounds.

Frequently Asked Questions about openmates:clarify

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

FAQPage Schema
How do I turn a vague bug report into a build-ready task brief?

A structured 5-round Q&A process clarifies vague feature ideas by asking one high-value question per round to extract scope, acceptance criteria, edge cases, and testing approaches before coding begins.

Can I generate acceptance criteria directly from a Linear issue ID?

Yes, providing a Linear issue ID pre-loads issue details, related images, and comments to inform adaptive follow-up questions and generate a deterministic task brief with acceptance criteria.

How does adaptive question skipping work for feature planning requirements?

Adaptive skipping analyzes your initial feature planning input to identify already-resolved topics, ensuring the 5-round Q&A asks exactly one high-value question per round without redundant queries.

What is the best way to structure product discovery questions for new features?

A 5-round Q&A adaptively extracts the problem statement, expected behavior, scope, edge cases, and open questions into a comprehensive task brief for product discovery.

Does bug triage with structured Q&A eliminate scope ambiguity?

Bug triage with structured Q&A reduces scope ambiguity by deterministically generating affected areas, testing approaches, and acceptance criteria after five rounds of targeted clarification questions.