audit-markers
OfficialAutomate pytest marker auditing and fixing for optimized test runs.
Software Engineering#test automation#pytest#resource optimization#test suite maintenance#marker analysis
Authorgenerative-computing
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the process of auditing and fixing pytest markers in test files and examples, ensuring that tests are correctly classified and optimized for efficient execution.
Core Features & Use Cases
- Automatic Classification: Classifies tests as unit, integration, e2e, or qualitative using heuristics and project-specific rules.
- Resource Estimation: Estimates GPU VRAM and RAM requirements for tests to optimize resource allocation.
- Quick Fixes: Applies fixes to test markers to ensure they are correct and up-to-date.
- Use Case: Before committing changes, use this Skill to audit and fix pytest markers in your test suite, ensuring that tests are correctly classified and optimized for performance.
Quick Start
Run the 'audit-markers' skill on your test files to automatically classify and fix pytest markers.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: audit-markers Download link: https://github.com/generative-computing/mellea/archive/main.zip#audit-markers Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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