run-tests

To run tests and measure code coverage, you execute project tests using a scope identifier like a specific file path or --all. The skill collects coverage data across supported frameworks including Jest and Pytest, outputting structured JSON with results and coverage metrics.

Coverage gap analysis identifies untested code categories like error handling, edge cases, and rare branches. It prioritizes these gaps and generates concrete test suggestions to close them, directly improving project reliability and quality assurance outcomes.

Yes, this test execution tool works with both Jest and Pytest. It supports multiple frameworks, allowing you to execute tests and parse coverage data seamlessly across different project environments and language stacks.

You prioritize test suggestions by analyzing coverage gaps categorized by error handling, edge cases, and rare branches. The skill surfaces these gaps and provides concrete, actionable test recommendations to address the most critical areas first.

Yes, you can use structured test coverage reports for CI/CD pipeline telemetry. The skill outputs structured JSON containing test results, coverage parsing, and gap analysis, which integrates directly into continuous integration and reporting workflows.