What problem does it solve?
It prevents prompt overengineering and under-structuring by selecting the best-fit prompting technique for a given task, refactoring the prompt accordingly, and validating the result before use.
Core Features & Use Cases
- Prompt routing by task shape: Infers what the user is really trying to do and chooses the lightest effective technique (e.g., zero-shot vs. structured reasoning vs. retrieval-grounded vs. tool loop).
- Refactored prompt output: Produces a stronger, more reliable prompt structure with clear inputs, constraints, and output requirements.
- Validation before activation: Generates a validation report covering structure completeness, ambiguity handling, technique fit, risk gating, and minimality.
- Fallback guidance: Provides a fallback technique plus operator notes to handle failure modes or missing context.
Quick Start
Use this skill with a raw prompt and your goal to get a routed technique, a rewritten higher-quality prompt, and a validation report ready for execution.