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pytest-optimizer

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Analyze and optimize pytest suites to improve speed, identify flaky tests, and increase coverage. Use to maintain high-quality, fast-running test pipelines.

Code Review

What this skill does

# pytest Optimizer

## Purpose and Intent
Analyze and optimize pytest suites to improve speed, identify flaky tests, and increase coverage. Use to maintain high-quality, fast-running test pipelines.

## When to Use
- **Project Setup**: When initializing a new Python project.
- **Continuous Integration**: As part of automated build and test pipelines.
- **Legacy Refactoring**: When updating older Python codebases to modern standards.

## When NOT to Use
- **Non-Python Projects**: This tool is specialized for the Python ecosystem.

## Error Conditions and Edge Cases
- **Missing Requirements**: If the project lacks a requirements.txt or pyproject.toml.
- **Incompatible Versions**: If the project uses a Python version not supported by the tools.

## Security and Data-Handling Considerations
- All analysis is performed locally.
- No source code or credentials are ever transmitted externally.
Files: 2
Size: 1.8 KB
Complexity: 6/100
Category: Code Review

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