Group failing test errors by type and guide fixes.
npx skills add https://github.com/samChang72/custom-skills --skill test-fixing-samchang72
Please help me install this Agent Skill. Skill: test-fixing Source: https://github.com/samChang72/custom-skills/tree/main/gemini/skills/test-fixing Command: npx skills add https://github.com/samChang72/custom-skills --skill test-fixing-samchang72
The test-fixing skill addresses the challenge of dealing with failing tests in a systematic way, saving time and ensuring code reliability.
Run the test-fixing skill to analyze and fix failing tests in your project.
High-intent search queries and answers about installing and using this skill.
To fix failing tests systematically, you can group errors by type, file, or root cause to resolve foundational issues like missing imports first. This method prioritizes infrastructure fixes before correcting logical bugs and verifying the full suite.
Grouping test failures by error type, file, or root cause allows for focused debugging. This approach organizes errors into manageable groups, enabling you to tackle infrastructure issues like dependencies before moving to code corrections.
The test-fixing process requires a Python testing framework to execute tests and apply fixes. It uses this framework to run test subsets, confirm corrections, and perform final verification on the full suite to ensure reliability.
Fixing missing imports and configuration errors involves prioritizing foundational infrastructure issues first. By grouping errors, you can systematically identify these dependencies and configuration problems before addressing logical bugs in the code.
Prioritizing infrastructure errors in your test suite resolves foundational dependencies and configuration issues that often cause cascading failures. Addressing these first simplifies the subsequent correction of logical bugs and ensures focused fixes.
To verify bug fixes after resolving failures, run subsets of tests followed by the full suite. This final verification step confirms that the applied corrections work and ensures overall code reliability without introducing new errors.
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