qa

Capture user feedback through interviews and generate structured GitHub issues.

45|2|Updated Apr 24, 2026
One-click install
npx skills add https://github.com/hachej/boring-ui --skill qa-hachej
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qa
Source: https://github.com/hachej/boring-ui/tree/main/.agents/skill-library/miscellaneous/qa
Command: npx skills add https://github.com/hachej/boring-ui --skill qa-hachej

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill streamlines the bug reporting process by converting informal user feedback into structured, durable, and actionable GitHub issues, ensuring that development teams receive high-quality, reproducible bug reports.

Core Features & Use Cases

  • Conversational Issue Filing: Conducts an interactive QA session to gather necessary details without overwhelming the user.
  • Contextual Exploration: Automatically explores the codebase to understand domain language and feature intent, improving the quality of the generated issues.
  • Smart Breakdown: Intelligently decides whether to file a single issue or break complex problems into smaller, parallelizable tasks with dependency tracking.

Quick Start

Initiate a qa session to help me report the bugs I am seeing in the current workspace.

Frequently Asked Questions about qa

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

FAQPage Schema
How do I turn user feedback into actionable GitHub issues automatically?

You can turn user feedback into GitHub issues by running an interactive QA session that captures details conversationally and generates structured issue reports programmatically via the GitHub CLI.

Can I create structured bug reports from informal feedback without overwhelming the user?

Yes, creating structured bug reports from informal feedback is achieved through conversational interviews that gather necessary details interactively, ensuring high-quality and reproducible GitHub issues without overwhelming the reporter.

Does this bug reporting automation work with the GitHub CLI?

Yes, this bug reporting automation requires integration with the GitHub CLI to programmatically create and manage issue tracking tasks directly from the captured user feedback sessions.

How does the system ensure technical accuracy when filing bug reports?

The system ensures technical accuracy for bug reports by performing background codebase exploration during the interactive session to understand domain language and feature intent before generating the final issues.

When do I need to break down complex bug reports into smaller GitHub issues?

Complex bug reports are broken down into smaller, parallelizable GitHub issues with dependency tracking when the system intelligently determines the problem requires multiple tasks rather than a single issue.

What is the best way to track dependencies when splitting user feedback into multiple issues?

The best way to track dependencies when splitting user feedback is to use the smart breakdown feature, which parallelizes complex problems into smaller GitHub issues while automatically maintaining their dependency relationships.