Does it verify the fixes automatically?

Yes, the workflow includes a step to run a subset of tests for each identified group immediately after a fix is applied, followed by a final full-suite verification.

Can it handle large test suites with many failures?

Yes, it is designed to analyze the entire output, group similar failures together, and work through them systematically to avoid context exhaustion and ensure focused fixes.

How does the test-fixing skill prioritize failures?

It uses a smart grouping strategy that prioritizes infrastructure errors, such as import issues and configuration problems, before tackling API changes and specific business logic assertions.

Which testing frameworks are supported?

The skill is framework-agnostic but follows best practices compatible with pytest, unittest, and other standard runners, using commands like 'make test' and pattern-based execution.

Smart Test Fixing

Name: Smart Test Fixing
Author: kivilaid

bykivilaid

•

Seguridad y Pruebas

Systematically identifies, groups, and resolves failing test suites using an intelligent prioritization workflow and smart error analysis.

The Smart Test Fixing skill automates the process of debugging and repairing broken test suites within Claude Code by applying a structured approach to error management. Instead of tackling failures randomly, this skill groups errors by type and module, prioritizing critical infrastructure and API issues before addressing individual business logic bugs. This systematic methodology is particularly effective after large refactors, dependency updates, or when preparing a codebase for CI/CD deployment, ensuring that your test suite returns to a green state efficiently and reliably.

Características Principales

01Targeted verification using specific test patterns and markers

026 GitHub stars

03Priority-based fixing workflow focusing on infrastructure first

04Automated failure analysis and pattern recognition

05Full-suite regression checking after all fixes are implemented

06Smart error grouping by error type, module, and root cause

Casos de Uso

01Achieving a green test suite status before merging code or deploying to production

02Fixing broken tests caused by dependency updates or API signature changes

03Resolving extensive test failures following a major codebase refactor

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add kivilaid/plugin-marketplace test-fixing

For use in Claude.ai and ChatGPT

Download Skill