Does it run the entire test suite for every minor fix?

No, it uses focused test runs for specific groups to iterate quickly, only running the full suite for final verification once all groups are addressed.

Can this skill identify the cause of flaky tests?

While it focuses on systematic failures, its smart grouping and log analysis capabilities help identify patterns that often point to the root cause of non-deterministic errors.

How does the skill decide which tests to fix first?

It follows an 'infrastructure first' strategy, resolving import errors and dependency issues before addressing API changes and finally business logic bugs.

Does it modify my code automatically?

It identifies the root cause and proposes focused edits using Claude's editing tools, ensuring changes remain minimal and aligned with project conventions.

Is it compatible with different testing frameworks?

Yes, the systematic approach is framework-agnostic, though it includes built-in patterns for common runners like pytest.

Smart Test Repair

Name: Smart Test Repair
Author: claudiodearaujo

byclaudiodearaujo

0•

Security & Testing

Systematically identifies, groups, and resolves failing tests using intelligent error classification and prioritized fixing strategies.

The Smart Test Repair skill provides Claude with a structured framework for debugging and fixing broken test suites. Rather than addressing failures randomly, it employs a methodical approach that groups errors by type, module, or root cause. By prioritizing infrastructure and API-level fixes before moving on to business logic, the skill ensures that dependency chains are resolved first, leading to faster recovery times and more stable codebases. It is particularly effective after major refactorings, dependency updates, or when resolving complex CI/CD pipeline failures.

Key Features

01Smart error grouping by type (ImportError, AttributeError, etc.)

02Root cause analysis using Git diffs and code inspection

03Tiered fix prioritization (Infrastructure > API > Logic)

04Incremental verification of fixed test subsets

05Automated full-suite regression checking

060 GitHub stars

Use Cases

01Restoring test passing status after a large-scale code refactor

02Quickly resolving multiple test failures following a dependency update

03Automating the repair of CI/CD pipelines blocked by broken unit tests

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro-front test-fixing

For use in Claude.ai and ChatGPT

Key Features

01Smart error grouping by type (ImportError, AttributeError, etc.)

02Root cause analysis using Git diffs and code inspection

03Tiered fix prioritization (Infrastructure > API > Logic)

04Incremental verification of fixed test subsets

05Automated full-suite regression checking

060 GitHub stars

Use Cases

01Restoring test passing status after a large-scale code refactor

02Quickly resolving multiple test failures following a dependency update

03Automating the repair of CI/CD pipelines blocked by broken unit tests

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro-front test-fixing

For use in Claude.ai and ChatGPT