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coco-de
coco-deOFFICIAL
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bug-report

Analyze screenshots to generate classified bug reports and create ZenHub issues.

Updated Aug 23, 2026
Search Tags:#github#issue tracking#bug report#image analysis#qa automation#zenhub
One-click install
npx skills add https://github.com/coco-de/skills --skill bug-report-coco-de
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bug-report
Source: https://github.com/coco-de/skills/tree/main/plugins/cc-code-quality/skills/bug-report
Command: npx skills add https://github.com/coco-de/skills --skill bug-report-coco-de

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the creation of detailed bug reports, leveraging image analysis and structured data to streamline the bug tracking process and integrate seamlessly with issue tracking systems like ZenHub.

Core Features & Use Cases

  • Image Analysis: Extracts UI states, error messages, and context from screenshots.
  • Automated Classification: Classifies bugs by severity, type (UI, functional, performance, crash, data), and affected area.
  • Issue Generation: Creates well-formatted issues in ZenHub/GitHub with appropriate labels and pipeline assignments.
  • Workflow Integration: Can initiate bug-fixing workflows directly after report creation.
  • Use Case: A QA engineer encounters a UI glitch. They provide a screenshot and a brief description. The Skill analyzes the image, identifies layout issues, suggests severity and area labels, and creates a detailed bug ticket in ZenHub, ready for a developer to pick up.

Quick Start

Use the bug-report skill to create a bug report from the screenshot '/path/to/error.png' with the description 'The login button is not working'.

Frequently Asked Questions about bug-report

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

FAQPage Schema
How do I automate bug report generation from a screenshot?▼

Automate bug report generation by providing a screenshot and a brief description. The Skill uses image analysis to extract UI states and error messages, then formats this into a structured bug report ready for issue tracking.

Can I create ZenHub issues automatically from image analysis?▼

Yes, you can create ZenHub issues automatically. The Skill analyzes your screenshots, classifies the bug by severity and type, and generates a well-formatted issue with appropriate labels and pipeline assignments in ZenHub.

How does automated bug classification work for GitHub issues?▼

Automated bug classification works by evaluating image analysis and structured data to categorize bugs by severity, type (UI, functional, performance, crash, data), and affected area, applying automatic labels to GitHub issues.

Does this bug tracking automation support custom bug templates?▼

Yes, the bug tracking automation supports various bug templates. It uses these templates alongside automatic labeling based on severity and type to ensure consistent issue generation for development workflows.

What is the best way to streamline bug reporting with AI for QA automation?▼

The best way to streamline bug reporting with AI is to integrate image analysis with issue tracking systems. This approach extracts context from screenshots, classifies the bug, and creates detailed tickets to initiate bug-fixing workflows directly.

Can I initiate bug-fixing workflows directly after issue creation in ZenHub?▼

Yes, you can initiate bug-fixing workflows directly after issue creation. The Skill integrates with development workflows in ZenHub to ensure the generated bug ticket is immediately ready for a developer to pick up.

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