Does this skill help with regression testing?

Absolutely. After implementing fixes, the skill includes a final verification step that runs the complete test suite to ensure no new regressions were introduced.

How does it understand what changed in the code?

The skill utilizes git diff and code inspection tools to understand recent changes and identify the specific code modifications that triggered the failures.

Why does it prioritize infrastructure errors over logic issues?

Infrastructure and import errors often cause cascading failures across the entire suite. Fixing them first clears the 'noise' and allows the AI to see the true underlying logic bugs.

How does this skill group test failures?

The skill categorizes errors by type (such as ImportError or AssertionError), affected file, and likely root cause to prioritize the most impactful fixes first.

Can I use this with specific testing frameworks?

Yes, while the workflow is optimized for tools like pytest and make, the systematic approach of grouping and fixing can be applied to most modern testing environments.

Smart Test Fixing

Name: Smart Test Fixing
Author: claudiodearaujo

byclaudiodearaujo

Seguridad y Pruebas

Systematically identifies and resolves failing tests through intelligent error grouping and prioritized root cause analysis.

Acerca de

The Smart Test Fixing skill enables Claude to efficiently manage and repair broken test suites by organizing failures into logical clusters. Instead of addressing errors at random, it employs a strategic hierarchy—prioritizing infrastructure and API-level issues before diving into complex business logic bugs. This systematic approach reduces debugging time, prevents regression, and ensures a stable codebase, making it an essential tool for developers dealing with refactoring side effects or CI/CD pipeline failures.

Características Principales

Strategic prioritization focusing on infrastructure before logic
Intelligent error grouping by type, module, and root cause
Pattern recognition to identify recurring bugs across the suite
Focused verification of specific test subsets to minimize feedback loops
Automated test execution using standard tools like pytest
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Casos de Uso

Resolving widespread test regressions after a major codebase refactor
Cleaning up legacy projects with accumulated test debt
Systematically fixing CI/CD pipeline failures with minimal manual intervention

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/izacenter test-fixing

For use in Claude.ai and ChatGPT

Download Skill

GitHub