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regression-learning

Learn from past failures to prioritize regression tests and predict risk.

175|26|Updated Aug 14, 2025
Search Tags:#code analysis#root cause analysis#regression testing#learning system#predictive maintenance#test prioritization
One-click install
npx skills add https://github.com/jmagly/aiwg --skill regression-learning-jmagly
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: regression-learning
Source: https://github.com/jmagly/aiwg/tree/main/plugins/sdlc/skills/regression-learning
Command: npx skills add https://github.com/jmagly/aiwg --skill regression-learning-jmagly

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps improve regression detection over time by learning from past failures, identifying risky code patterns, and prioritizing tests effectively.

Core Features & Use Cases

  • Pattern Recognition: Analyzes historical regression data to identify recurring error patterns and code hotspots.
  • Test Prioritization: Ranks tests based on their likelihood of detecting regressions, optimizing execution order.
  • Root Cause Memory: Stores and links past root cause analyses to build a knowledge base for faster debugging.
  • Predictive Analysis: Predicts the probability of regressions for new code changes and suggests preventive actions.
  • Use Case: After a code change, ask "What tests should I run?" to get a prioritized list of tests, saving time and ensuring critical areas are covered.

Quick Start

Analyze regression patterns to identify recurring issues and hotspots.

Frequently Asked Questions about regression-learning

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

FAQPage Schema
How do I prioritize regression tests based on past failures?▼

To prioritize regression tests, this Skill ranks them by analyzing historical failure data and identifying code hotspots, optimizing the execution order to detect regressions faster.

What is regression risk prediction for code changes?▼

Regression risk prediction evaluates new code changes against a persistent memory of past regression patterns and root causes to calculate the probability of failure and suggest preventive actions.

How does root cause memory help with debugging regressions?▼

Root cause memory builds a persistent knowledge base by linking past root cause analyses and fix effectiveness, enabling faster debugging by matching current code patterns against historical issues.

Can I use historical test execution data to identify risky code hotspots?▼

Yes, you can use historical test execution data to identify risky code hotspots. The Skill continuously analyzes past regression patterns to map out areas with a high likelihood of failure.

What's the best way to build a cross-task learning system for regression testing?▼

Building a cross-task learning system for regression testing requires continuously integrating past failure data, root cause analyses, and code pattern recognition into a persistent memory for predictive analysis.

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