qa

Create GitHub issues from conversational bug reports.

Updated Jul 2, 2026
One-click install
npx skills add https://github.com/tgmarinho/agent-super-powers-matt-pocock-skills-comparasions --skill qa-tgmarinho
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qa
Source: https://github.com/tgmarinho/agent-super-powers-matt-pocock-skills-comparasions/tree/main/upstream-snapshots/mattpocock-skills/skills/deprecated/qa
Command: npx skills add https://github.com/tgmarinho/agent-super-powers-matt-pocock-skills-comparasions --skill qa-tgmarinho

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, github3.py, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of reporting bugs and filing GitHub issues by enabling a conversational interface, reducing time spent on manual bug reporting and ensuring issues are clear and actionable.

Core Features & Use Cases

  • Conversational Bug Reporting: Engage in a dialogue to report issues, eliminating the need for traditional bug reporting methods.
  • Automated Issue Creation: Automatically generate GitHub issues based on the conversation, ensuring they are well-formed and actionable.
  • Codebase Exploration: Background exploration of the codebase to provide context and domain language for the issues.
  • Use Case: Ideal for developers and QA engineers who need to report bugs quickly and accurately.

Quick Start

Start a QA session to report a bug: "I've noticed that the application crashes when I click the 'Save' button."

Frequently Asked Questions about qa

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

FAQPage Schema
How do I report a bug and create a GitHub issue using conversational AI?

You can report a bug by starting a conversational dialogue about the issue, which automatically generates a well-formed GitHub issue. This eliminates manual bug reporting by capturing context from the conversation to ensure the issue is actionable.

Do I need GitHub API access to file issues through a conversational interface?

Yes, you need GitHub API access to automate issue creation from a conversational interface. The process requires GitHub API access and specific Python libraries for background processing to successfully file the issues.

Can I explore my codebase for context when reporting bugs conversationally?

Yes, the skill supports background codebase exploration to provide context and domain language for reported issues. This ensures the automatically generated GitHub issues contain accurate technical context from your project.

What is the best way to streamline bug reporting for developers and QA engineers?

The best way to streamline bug reporting is using a conversational AI interface that automatically creates GitHub issues. This reduces manual reporting time for developers and QA engineers by ensuring issues are clear and actionable.

What Python libraries are required to automate GitHub issue creation from a conversation?

Automating GitHub issue creation requires the requests and github3.py Python libraries. These dependencies handle background processing and API integration to file well-formed issues directly from your conversational bug reports.

Why use conversational AI instead of manual GitHub issue templates for bug reporting?

Conversational AI simplifies bug reporting by engaging in a dialogue, eliminating traditional manual methods. It ensures issues are well-formed and actionable by automatically generating GitHub issues with codebase context.