skills.rest
Jmarques
JmarquesCOMMUNITY
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qa

Create GitHub issues from conversational bug reports.

Updated Jul 3, 2026
Search Tags:#code analysis#GitHub#issue tracking#conversational AI#bug reporting
One-click install
npx skills add https://github.com/Jmarques/orford-sur-le-lac_embarcations --skill qa-jmarques
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: qa
Source: https://github.com/Jmarques/orford-sur-le-lac_embarcations/tree/main/.agents/skills/qa
Command: npx skills add https://github.com/Jmarques/orford-sur-le-lac_embarcations --skill qa-jmarques

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides a conversational interface for users to report bugs or issues directly. It automatically creates GitHub issues, leveraging context from the codebase and domain language to streamline the reporting process.

Core Features & Use Cases

  • Interactive Bug Reporting: Engage in a conversation to describe issues and receive immediate feedback.
  • Automated Issue Creation: Generates GitHub issues with clear, actionable details based on user input.
  • Codebase Exploration: Background analysis of the codebase for context and domain language to improve issue accuracy.
  • Use Case: When encountering a bug, simply explain the issue and let the Skill create the appropriate GitHub issue.

Quick Start

Start a QA session to report a bug. Describe the problem you are facing, and I will help create an issue.

Frequently Asked Questions about qa

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

FAQPage Schema
How do I create a GitHub issue through conversational bug reporting?▼

You can create a GitHub issue by starting a QA session and describing the problem conversationally. The Skill processes your natural language input and automatically generates an actionable GitHub issue.

Can I use conversational AI to report bugs with codebase context?▼

Yes, conversational AI bug reporting analyzes your codebase in the background to extract context and domain language. This ensures generated issues are accurate and directly reference relevant code.

What is the best way to automate issue tracking from natural language descriptions?▼

Automating issue tracking involves using a conversational interface that translates natural language descriptions into structured GitHub issues. This approach streamlines reporting by minimizing manual setup and formatting.

Does this bug reporting tool require manual setup or dependencies to create GitHub issues?▼

No manual setup or external dependencies are required to create GitHub issues. The Skill is optimized for user-focused, durable issue tracking with minimal configuration directly out of the box.

How does codebase exploration improve the accuracy of automated bug reporting?▼

Codebase exploration improves bug reporting accuracy by analyzing your project's structure and domain language. This context allows the conversational AI to populate GitHub issues with clear, actionable, and technically relevant details.

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