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pxlcrtiv
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qa

Create GitHub issues from conversational bug reports with codebase context.

Updated Jul 3, 2026
Search Tags:#GitHub#issue tracking#bug reporting#issue creation#QA session
One-click install
npx skills add https://github.com/pxlcrtiv/opencode-setup --skill qa-pxlcrtiv
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: qa
Source: https://github.com/pxlcrtiv/opencode-setup/tree/main/skills/qa
Command: npx skills add https://github.com/pxlcrtiv/opencode-setup --skill qa-pxlcrtiv

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of reporting bugs or issues in a conversational manner, allowing users to file GitHub issues with ease while the agent handles the technical details in the background.

Core Features & Use Cases

  • Conversational Bug Reporting: Interact with the AI to describe problems and issues, without needing technical details.
  • Background Code Analysis: While the user describes the issue, the agent analyzes the codebase for context and relevant domain language.
  • GitHub Issue Creation: Automatically generates GitHub issues based on the user's report, with proper templates and descriptions.
  • Use Case: Ideal for users who need to quickly report issues to the development team, without the need for technical knowledge of the codebase.

Quick Start

Begin a QA session and describe your issue to the AI. When you're done, the agent will file a GitHub issue on your behalf.

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 through a conversational interface and create a GitHub issue?▼

Conversational bug reporting lets you describe problems naturally while an agent handles GitHub issue creation. The agent analyzes your codebase for context and writes user-focused issues automatically.

Do I need technical knowledge of the codebase to file GitHub issues?▼

No technical knowledge is needed to file GitHub issues. You describe the problem conversationally, and the agent explores the codebase in the background to gather context and relevant domain language for the issue report.

What is the best way to automate bug reporting for non-technical users?▼

Automated bug reporting for non-technical users works best through conversational AI sessions. You simply describe the issue, and the agent generates GitHub issues with proper templates and descriptions on your behalf.

Can I use conversational QA sessions to track issues directly on GitHub?▼

Yes, you can use conversational QA sessions to track issues on GitHub. The agent requires GitHub API access to automatically generate and file issues with proper descriptions based on your conversational input.

What prerequisites are needed to automate GitHub issue creation from a QA session?▼

Automating GitHub issue creation requires GitHub API access and a basic understanding of the project's codebase. The agent uses these to analyze code for context and write appropriate issues during the QA session.

Why does the agent explore the codebase during a bug reporting session?▼

The agent explores the codebase during bug reporting to gather context and relevant domain language. This background analysis ensures the automatically generated GitHub issues contain accurate technical details and proper descriptions.

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