coverage-enhancer

# Coverage Enhancer Analyze existing tests and source code to identify coverage gaps, then suggest specific additional tests to improve overall test coverage and code quality. ## Core Capabilities ### 1. Coverage Gap Analysis Identify untested areas in source code: - **Uncovered lines** - Code never executed by tests - **Uncovered branches** - Conditional paths not tested - **Uncovered functions** - Methods/functions without tests - **Missing error handling tests** - Exception paths not verified - **Untested edge cases** - Boundary conditions not covered - **Insufficient scenarios** - Limited test diversity ### 2. Existing Test Analysis Understand current test coverage by: - Parsing existing test files - Identifying tested functions and methods - Recognizing test patterns and frameworks - Detecting coverage tools in use - Analyzing test quality and completeness ### 3. Test Suggestion Generation Generate specific, actionable test recommendations: - Complete test code in the project's framework - Clear test names describing what's being tested - Setup, execution, and assertion steps - Integration with existing test structure - Prioritized by coverage impact ## Coverage Analysis Workflow ### Step 1: Analyze Existing Tests Read and understand the current test suite: **Identify test framework:** ```python # pytest def test_something(): assert result == expected # unittest class TestSomething(unittest.TestCase): def test_method(self): self.assertEqual(r...