writing-skills

Test-driven documentation for AI skills involves writing pressure scenarios first to establish baseline behavior, then developing minimal skills to address those behaviors, and finally testing to close loopholes. This ensures documentation accurately reflects and enforces actual issues.

Skill verification is best done by writing pressure scenarios without the skill to understand baseline behavior. This test-driven approach identifies actual issues and ensures the documentation addresses real behaviors rather than assumed ones, preventing common mistakes and ensuring consistency across skills.

Compliance testing for AI skill documentation requires developing test scenarios that enforce rules and standards. By creating baseline scenarios first, then developing minimal skills to address them, you ensure the documentation effectively enforces compliance and prevents common mistakes.

Yes, TDD for documentation prevents common mistakes by ensuring skills are developed to address actual issues identified through pressure scenarios. This approach creates testable, enforceable documentation that maintains consistency across skills and closes loopholes in skill behavior.

Test-driven documentation for AI skills requires identifying specific pressure scenarios upfront, which may not cover all edge cases. The approach focuses on addressing actual behaviors and closing loopholes, but relies heavily on the quality and comprehensiveness of the initial scenarios written.