coding.update_expected_vars

What problem does it solve?

This Skill helps developers automate the process of running tests, identifying mismatched expected variables, and updating them efficiently, reducing manual effort and errors.

Core Features & Use Cases

• Automated Test Execution: Runs specific pytest test cases to identify failures due to expected vs. actual output mismatches.
• Failure Diagnosis: Detects and reports which test cases are failing, streamlining debugging.
• Expected Variable Update: Automates updating the expected variables in test files to match the current output, facilitating quick test fixes.
• Use Case: Imagine a developer working on refactoring code; they can rerun tests, see which expected outputs are outdated, and automatically sync them to match the new code behavior with minimal manual editing.

Quick Start

Run the update_expected_vars skill in your project directory to automatically detect mismatched test expectations and update the expected variables in your pytest test files.