Generate Tests

Create comprehensive test cases for functions and modules to ensure correctness and improve code coverage.

When to Use

• •Following test-driven development (TDD) approach
• •Adding tests to increase coverage
• •Testing edge cases and error conditions
• •Validating refactoring doesn't break functionality

Quick Reference

# Test generation pattern
def generate_tests(function, test_cases: List[Tuple]):
    """Create test cases for a function"""
    for inputs, expected_output in test_cases:
        result = function(*inputs)
        assert result == expected_output, f"Failed for {inputs}"

# Example: test matrix multiply
test_cases = [
    (([[1, 2], [3, 4]], [[1, 0], [0, 1]]), [[1, 2], [3, 4]]),  # Identity
    (([], []), []),  # Empty
]

Workflow

1. •Analyze function: Understand inputs, outputs, side effects
2. •Identify test cases: Normal cases, edge cases, error cases
3. •Write assertions: Create expected output for each case
4. •Implement tests: Create test functions in test file
5. •Verify coverage: Check that tests exercise all code paths

Output Format

Test suite:

• •Test class/module with clear naming
• •Test methods (test_normal_case, test_edge_case, test_error_case)
• •Setup/teardown if needed
• •Clear assertions with error messages
• •Coverage report showing lines tested

References

• •See run-tests skill for executing tests
• •See calculate-coverage skill for coverage analysis
• •See CLAUDE.md > TDD in Key Development Principles