Testing

What it does

This skill equips AI agents with expertise in software testing best practices. It guides the agent to write, review, and discuss tests effectively by applying principles of unit testing, test organization, isolation, data management, comprehensive coverage, code quality within tests, and clear assertions. The skill emphasizes writing table-driven tests, mocking external interfaces, and ensuring adequate test coverage for exported functions.

When to use it

• When needing help crafting effective unit tests using table-driven patterns.
• For reviewing existing test suites and identifying areas for improvement in organization or clarity.
• To ensure comprehensive test coverage, including edge cases and error conditions.
• When seeking guidance on writing clear and readable assertions within tests.

Key capabilities

• Provides expert advice on software testing best practices.
• Guides the creation of unit tests with table-driven patterns and parallel execution.
• Emphasizes mocking external interfaces for clean isolation.
• Promotes descriptive test names and logical organization mirroring source file structure.
• Focuses on independent tests, fixture usage, and minimal test data setup.

Example prompts

• "Write a unit test using a table-driven pattern to verify this function."
• "Review this existing test suite and suggest improvements for clarity and coverage."
• "How can I best mock the external API call in my integration test?"

Tips & gotchas

• The skill assumes familiarity with basic testing concepts.
• It focuses on best practices, not generating tests directly; it provides guidance to improve existing or planned tests.
• Pay attention to the emphasis on independent tests and clean state management for reliable results.