writing-great-skills

Diagnosing AI agent failure modes involves identifying structural issues like sprawl, premature completion, and negation, then applying standardized architectural patterns to fix them.

The best way to structure prompt engineering for AI agents is to apply a predictability framework that manages context load and standardizes information hierarchy within modular skill units.

You can audit an existing AI skill definition by checking for common failure modes like sprawl and premature completion, using a structured vocabulary to evaluate and refine the instructions.

You need standardized terminology for AI skill design when developing modular, maintainable, and efficient skill units within an agentic system to effectively manage context load and information hierarchy.

Yes, you can use this framework to refactor bloated AI agent instructions by applying failure mode diagnosis techniques to make the skill units lean, maintainable, and effectively leveraged.