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review-learnings

Synthesize QA learnings from a ledger file into prioritized improvement reports.

23|1|Updated Jan 7, 2026
Search Tags:#report generation#pattern recognition#issue prioritization#plugin improvements#QA learnings
One-click install
npx skills add https://github.com/neonwatty/qa-skills --skill review-learnings-neonwatty
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-learnings
Source: https://github.com/neonwatty/qa-skills/tree/main/skills/review-learnings
Command: npx skills add https://github.com/neonwatty/qa-skills --skill review-learnings-neonwatty

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of synthesizing QA learnings from a project's ledger into actionable plugin improvements, reducing manual analysis time and enhancing the plugin's effectiveness.

Core Features & Use Cases

  • Learnings Synthesis: Automatically processes QA learnings from a ledger file, identifying patterns and clusters.
  • Prioritization: Prioritizes issues based on their impact on plugin quality, providing a clear roadmap for improvements.
  • Report Generation: Outputs a detailed report with entries analyzed, clusters identified, and proposed changes with file paths and descriptions.
  • Implementation Option: Offers the option to automatically implement top improvements.

Quick Start

To review learnings and generate a report, use the command: review-learnings

Frequently Asked Questions about review-learnings

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

FAQPage Schema
How do I automate QA learnings synthesis for plugin improvements?▼

To automate QA learnings synthesis, you process a .qa-learnings/ledger.md file to identify patterns and clusters, generating a report with prioritized improvement recommendations and proposed file-level changes for your software plugin.

How do I generate a prioritized report from a QA learnings ledger file?▼

You generate a prioritized report by processing the .qa-learnings/ledger.md file, which analyzes entries, identifies issue clusters, and outputs proposed file-level changes based on impact to plugin quality.

Do I need codebase access to prioritize QA issues from a ledger?▼

Yes, you need access to the software plugin's codebase alongside the .qa-learnings/ledger.md file to accurately propose file-level changes and generate actionable improvement recommendations.

Can I automatically implement proposed plugin improvements after analyzing QA learnings?▼

Yes, after synthesizing QA learnings and generating a prioritized report, you can choose an option to automatically implement the top proposed improvements directly into the codebase.

What is the best way to identify patterns and clusters in QA learnings?▼

The best way to identify patterns in QA learnings is to process the .qa-learnings/ledger.md file through an automated synthesis tool that clusters issues and prioritizes them based on plugin quality impact.

What limitations exist when automating QA learnings synthesis for software plugins?▼

Automating QA learnings synthesis requires a populated .qa-learnings/ledger.md file and codebase access; without these inputs, the tool cannot identify patterns or generate proposed file-level changes.

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