writing-skills

Test-driven skill development applies the RED-GREEN-REFACTOR cycle to AI agent documentation. It ensures technical writing is effective by creating test scenarios that simulate real-world use cases before writing the actual skill instructions.

Start by identifying the skill's purpose, then create test scenarios simulating real-world use cases. Write the skill document addressing these scenarios, and test it to ensure the documentation works as expected through the RED-GREEN-REFACTOR cycle.

Yes, test-driven development improves existing AI agent documentation by applying the RED-GREEN-REFACTOR cycle. You create test scenarios for current use cases, then refactor the documentation to ensure it remains clear, concise, and discoverable.

The best way to structure skill creation guidelines is by following test-driven documentation practices. Focus on writing clear descriptions, simulating real-world test scenarios, and providing examples and templates for common skill types.

No prior test-driven development experience is strictly required, but understanding the RED-GREEN-REFACTOR cycle helps. The skill provides examples and templates for common skill types to guide new skill authors through the documentation process.

You should avoid test-driven documentation when real-world test scenarios cannot be clearly defined for your AI agent skills. Without concrete use cases to simulate, the RED-GREEN-REFACTOR cycle cannot effectively validate your technical writing.