Does this skill help with automated testing?

Yes, it promotes a Test-Driven Development (TDD) approach by guiding the user to write regression tests before implementing a fix to prevent future regressions.

How does this skill prioritize software issues?

It utilizes a P0/P1/P2 classification system where P0 represents critical blockers like data loss, P1 covers major UX degradation, and P2 addresses minor cosmetic or documentation errors.

How does it handle development isolation?

It manages Git worktrees to create isolated environments for specific fixes, ensuring that your main development branch remains stable while resolving beta issues.

What feedback formats are supported by the parser?

The skill can parse Markdown reports, YAML test results, GitHub issue lists, and structured plain text reports to extract actionable bug data.

Beta Feedback Fixer

Name: Beta Feedback Fixer
Author: wildcard

bywildcard

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Security & Testing

Streamlines the end-to-end process of addressing beta tester feedback through systematic root cause analysis and automated regression testing.

About

The Beta Feedback Fixer skill automates the complex workflow of triage and resolution for software beta cycles. It helps developers parse structured feedback reports, prioritize issues by severity (P0-P2), and perform deep-dive root cause analysis. By guiding the creation of isolated git worktrees and enforcing a TDD approach with regression tests, it ensures that fixes are robust, verified, and properly documented. It further assists in release preparation by automating changelog updates and version bumping, making it an essential tool for maintaining high software quality during rapid iteration phases.

Key Features

Systematic Root Cause Analysis (RCA) framework
Priority-based triage and severity classification (P0-P2)
23 GitHub stars
Automated beta report parsing and issue extraction
TDD-driven regression testing and automated PR preparation
Isolated environment management using Git worktrees

Use Cases

Resolving critical P0 blockers identified during a software beta phase
Preparing structured release notes and version bumps for new beta iterations
Converting raw tester feedback into actionable, tested code fixes

About

Key Features

Systematic Root Cause Analysis (RCA) framework
Priority-based triage and severity classification (P0-P2)
23 GitHub stars
Automated beta report parsing and issue extraction
TDD-driven regression testing and automated PR preparation
Isolated environment management using Git worktrees

Use Cases

Resolving critical P0 blockers identified during a software beta phase
Preparing structured release notes and version bumps for new beta iterations
Converting raw tester feedback into actionable, tested code fixes