test-coverage-improver

What it does

This skill automatically analyzes your codebase to identify untested areas and generates new test cases to increase coverage metrics. It specifically targets functions, methods, and logic paths that currently lack verification.

When to use it

• Before merging a large feature branch to ensure new logic is validated.
• To quickly raise test coverage percentages on legacy codebases with minimal manual effort.
• When preparing for a security audit or compliance requirement mandating high coverage thresholds.
• During refactoring sessions to guarantee existing functionality remains covered after changes.

Key capabilities

• Scans the entire project structure to map out untested functions and branches.
• Generates syntactically correct test code tailored to your specific language and framework.
• Focuses on edge cases and boundary conditions often missed by manual testing.
• Integrates directly with existing testing workflows via the OpenAI Agents Python library.

Example prompts

• "Analyze my src/utils directory and generate unit tests for any function currently missing coverage."
• "Identify critical business logic paths in my API endpoints that have zero test coverage and write tests for them."
• "Review my recent commit and create a comprehensive test suite to cover all new code paths introduced."

Tips & gotchas

Ensure your project has a compatible testing framework (like Jest, PyTest, or Mocha) installed before running the agent, as it will generate code specific to those tools. While the skill excels at generating syntax-correct tests, you should still manually review generated cases to ensure they align with your specific business logic and error handling expectations.