qa

Convert conversational bug reports into structured GitHub issues with codebase context.

Updated Apr 14, 2026
One-click install
npx skills add https://github.com/kvithayathil/agent-resources --skill qa-kvithayathil
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qa
Source: https://github.com/kvithayathil/agent-resources/tree/main/skills/qa
Command: npx skills add https://github.com/kvithayathil/agent-resources --skill qa-kvithayathil

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Users often struggle to turn informal, conversational bug reports and QA feedback into structured, actionable GitHub issues that align with their project's domain language, leading to unclear tickets that are difficult for development teams to prioritize and resolve.

Core Features & Use Cases

  • Interactive Bug Collection: Guides users through short, focused clarifying questions to gather key details about bugs or issues without over-interviewing.
  • Context-Aware Issue Creation: Automatically explores the relevant codebase in the background to learn domain language and user-facing behavior boundaries, ensuring issues use consistent, project-specific terminology.
  • Smart Issue Breakdown: Automatically splits complex, multi-faceted reports into separate, dependency-ordered GitHub issues when needed, or keeps single-behavior problems as one ticket for clarity.
  • Use Case: A user reports a checkout flow bug during a QA session; the agent explores the e-commerce codebase, files a clear, durable issue with reproduction steps using the project's domain terms, with no stale file paths or internal module names.

Quick Start

Use the qa skill to run an interactive QA session to report bugs and file GitHub issues for your project.

Frequently Asked Questions about qa

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

FAQPage Schema
How do I convert conversational bug reports into structured GitHub issues?

You can use an interactive QA workflow that asks short clarifying questions to gather key bug details, then automatically formats the feedback into clear, reproducible GitHub issues aligned with your project's domain language.

How does context-aware issue creation work for codebase exploration?

Context-aware issue creation works by automatically exploring the codebase in the background during a QA session to learn domain language and behavior boundaries, ensuring generated GitHub issues use consistent, project-specific terminology instead of stale internal references.

Can I automatically split complex bug reports into multiple GitHub issues?

Yes, complex multi-faceted reports are automatically split into separate, dependency-ordered GitHub issues when needed, while single-behavior problems are kept as one clear ticket for development teams to easily resolve.

What is the best way to report bugs during an interactive QA session?

The best way to report bugs during an interactive QA session is to describe the issues verbally; the system then guides you with focused clarifying questions and explores the codebase to generate clear, actionable GitHub issues.

Do I need to manually provide codebase context when filing bug tickets?

No, you do not need to manually provide codebase context; the system automatically explores the relevant codebase in the background to gather context and ensure the GitHub issues use correct domain terminology and avoid stale file paths.