Can this skill help reduce test execution time?

Yes, it uses a weighted risk-score algorithm to prioritize tests that are statistically most likely to catch regressions based on the specific files changed, allowing you to skip low-value tests in fast-feedback modes.

Does this skill suggest actual code fixes?

Yes, it builds a fix template library based on successful past resolutions, allowing Claude to suggest high-confidence code corrections when it detects a known regression pattern.

How does the Regression Learning skill improve over time?

It records every regression in a persistent YAML-based memory, tracking which patterns recur, which components are most fragile, and which fixes are most effective across iterations.

What are 'code hotspots' in this context?

Hotspots are specific files or modules that have a high frequency of historical regressions and high complexity, signaling to the developer that these areas require more rigorous testing and manual review.

Regression Learning AI

Name: Regression Learning AI
Author: jmagly

byjmagly

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103

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セキュリティとテスト

Enhances software reliability by learning from historical regression patterns to predict risks and prioritize testing suites.

This skill provides a cognitive layer for regression testing within Claude Code, enabling the AI to accumulate knowledge across development iterations. By analyzing historical failure records, identifying code hotspots, and building a taxonomy of root causes, it transforms standard testing into an adaptive, predictive process. It helps developers focus on high-risk areas, suggests proven fixes based on past resolutions, and optimizes test execution order to catch bugs faster and reduce technical debt.

主な機能

01Persistent root cause memory with automated fix template generation

02Adaptive pattern recognition for recurring error types

03Predictive risk analysis for incoming code modifications

04Dynamic test prioritization based on historical failure data

05Code hotspot identification to flag high-risk files and modules

06103 GitHub stars

ユースケース

01Performing pre-commit risk assessments to flag high-risk code changes

02Conducting automated post-mortems on recurring bugs to prevent future regressions

03Optimizing CI/CD pipelines by automatically running the most relevant tests first

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jmagly/aiwg regression-learning

For use in Claude.ai and ChatGPT