qa

Create GitHub issues from conversational bug reports with codebase context.

Updated May 15, 2026
One-click install
npx skills add https://github.com/ruskibeats/t1d --skill qa-ruskibeats
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qa
Source: https://github.com/ruskibeats/t1d/tree/main/.agents/skills-archive/deprecated/qa
Command: npx skills add https://github.com/ruskibeats/t1d --skill qa-ruskibeats

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires github, requests, and includes scripts (resource) components.

What problem does it solve?

This Skill provides a conversational interface for users to report bugs and issues in codebases, automating the process of creating GitHub issues.

Core Features & Use Cases

  • Conversational Bug Reporting: Users can report issues conversationally, describing problems they are encountering.
  • Codebase Exploration: The Skill explores the codebase for context and domain language to aid in creating effective issue reports.
  • Issue Filing: The Skill creates GitHub issues directly, ensuring they are durable and user-focused.

Quick Start

Begin a QA session by describing the issue you're encountering.

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 conversationally and create a GitHub issue?

You can report bugs conversationally by describing the issue you are encountering, which triggers codebase exploration for context and automatically creates a detailed GitHub issue in your repository.

Does automated issue filing work with my existing codebase?

Automated issue filing works with your existing codebase by exploring its context and domain language to ensure the generated GitHub issues are durable, user-focused, and accurately descriptive of the software problem.

What do I need to set up to automate GitHub issue creation from bug reports?

To automate GitHub issue creation, you need GitHub API access configured for the session to authenticate and file the durable bug reports directly into the target repository.

How does conversational bug reporting improve issue tracking?

Conversational bug reporting improves issue tracking by guiding users through describing problems naturally, then translating that dialogue into structured, durable GitHub issues enriched with background codebase context.

Can I use this for codebase analysis before filing an issue?

Yes, the system performs background codebase analysis to extract context and domain language, which aids in creating effective and accurate GitHub issue reports based on the user's conversational input.

What are the limitations of using conversational AI for bug reporting?

The primary limitation is the absolute dependency on GitHub API access for issue creation, meaning the conversational bug reporting and codebase exploration cannot file durable issues without valid repository authentication.