What tools does the skill use to identify root causes?

It leverages automated test runners for error reporting and uses git diff tools to analyze recent code changes that may have triggered the failures.

How does it ensure that fixes don't cause new regressions?

The skill follows a strict verification protocol: it runs focused tests after every single fix and performs a comprehensive full-suite validation once all groups are addressed.

Does it work with specific testing frameworks?

While the examples mention pytest and make, the underlying systematic strategy of grouping and prioritized fixing is compatible with any command-line based testing framework.

How does the Smart Test Fixing skill prioritize errors?

It uses an 'Infrastructure-first' approach, resolving import and configuration issues before moving to API signature changes and finally addressing specific business logic bugs.

Can this skill handle large numbers of failing tests?

Yes, it is specifically designed to handle high-volume failures by grouping them into manageable clusters based on shared root causes, making large-scale fixes more efficient.

Smart Test Fixing

Name: Smart Test Fixing
Author: Jst-Well-Dan

byJst-Well-Dan

セキュリティとテスト

Systematizes the process of identifying, grouping, and fixing failing tests to restore suite health quickly and efficiently.

概要

The Smart Test Fixing skill is designed to streamline the debugging process when working with broken test suites in Claude Code. By utilizing a smart error grouping strategy, the skill categorizes failures by type, module, or root cause, allowing for a prioritized workflow that fixes infrastructure issues first. This method prevents the inefficient cycle of random debugging, ensuring that foundational errors like import issues or configuration problems are cleared before addressing complex logic bugs, ultimately leading to a more stable and reliable codebase with minimal manual intervention.

主な機能

Automated final regression testing for the full suite
Incremental verification using targeted test patterns
Root cause analysis via git history and diffing
Smart error grouping by type, module, and root cause
Infrastructure-first prioritization strategy
0 GitHub stars

ユースケース

Rapidly resolving multiple regressions during active development
Debugging complex CI/CD pipeline failures systematically
Restoring test suite health after major codebase refactoring

概要

主な機能

Automated final regression testing for the full suite
Incremental verification using targeted test patterns
Root cause analysis via git history and diffing
Smart error grouping by type, module, and root cause
Infrastructure-first prioritization strategy
0 GitHub stars

ユースケース

Rapidly resolving multiple regressions during active development
Debugging complex CI/CD pipeline failures systematically
Restoring test suite health after major codebase refactoring