How does it know which files to fix?

The skill performs a codebase-wide search using Glob and Grep patterns to find files that match the 'Area' or keywords described in the QA findings.

Can the skill actually see my UI bugs?

Yes, it uses Claude's vision capabilities to analyze screenshots or videos linked in your QA report, providing context-aware task descriptions.

What is the final output of this skill?

It generates a standardized qa-plan.md file that organizes every issue into a task with related file paths, actions, and testable acceptance criteria.

What input file does the QA Plan Generator require?

This skill requires a file named qa-list-automated.md containing a table with columns for ID, Area, Status, Priority, Image/Video, and Explanation.

QA Plan Generator

Name: QA Plan Generator
Author: potenlab

bypotenlab

Security & Testing

Transforms automated QA findings and screenshots into actionable developer tasks with clear acceptance criteria.

About

The QA Plan Generator bridges the gap between quality assurance and software development by converting raw finding logs into structured, developer-friendly documentation. This skill intelligently analyzes your QA reports, interprets visual bugs via screenshot analysis, and automatically identifies the relevant source files within your codebase. By generating a comprehensive qa-plan.md file, it provides developers with prioritized tasks, precise action items, and testable acceptance criteria, ensuring no bug report is left ambiguous or unactionable.

Key Features

Codebase mapping to automatically link issues to specific source files
Automated conversion of QA findings into structured developer tasks
Generation of testable acceptance criteria for every reported issue
Intelligent visual context analysis using screenshot and video reading
0 GitHub stars
Standardized task prioritization with emoji-coded status reporting

Use Cases

Standardizing documentation for bug-fixing sprints and release cycles
Translating visual UI/UX bug reports into technical implementation steps
Streamlining the handoff between automated QA tools and development teams

About

Key Features

Codebase mapping to automatically link issues to specific source files
Automated conversion of QA findings into structured developer tasks
Generation of testable acceptance criteria for every reported issue
Intelligent visual context analysis using screenshot and video reading
0 GitHub stars
Standardized task prioritization with emoji-coded status reporting

Use Cases

Standardizing documentation for bug-fixing sprints and release cycles
Translating visual UI/UX bug reports into technical implementation steps
Streamlining the handoff between automated QA tools and development teams