name: generate-tests description: "Create test cases for functions and modules. Use when implementing TDD or improving coverage." mcp_fallback: none category: testing tier: 2

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