skill-authoring

Risk-based testing applies testing rigor proportional to a skill's risk level, guiding you from light checks to full TDD cycles. This framework ensures new skills are created with appropriate rigor, preventing common failure modes like insufficient testing.

CSO optimization improves skill discoverability through precise naming conventions and clear descriptions. It provides specific formulas and examples to optimize your skill's metadata, ensuring Claude's search can effectively locate and surface your skill.

Ethical persuasion in skill development involves using persuasion principles responsibly and effectively. The framework offers guidance on avoiding manipulative language while optimizing your skill's communication, addressing common failure modes related to manipulative wording.

The best way to structure the skill lifecycle is using a framework that supports the entire process from initial concept to validation and iteration. This includes defining clear red flags, following TDD cycles for critical processes, and optimizing descriptions for search.

Yes, you can use test-driven development for skills enforcing critical processes. The framework guides you through the TDD cycle, helps define clear red flags for failure modes, and ensures appropriate testing rigor proportional to the skill's risk level.

AI skills fail due to poor naming conventions and insufficient testing because these are common failure modes in skill development. The framework addresses these issues by enforcing risk-based testing methodology and CSO optimization for discoverability.