What problem does it solve? Users often struggle to articulate clear, structured prompts for AI models, resulting in vague requests and low-quality outputs. This Skill analyzes raw prompt intent and automatically rewrites it using established prompting frameworks, removing the need to learn prompt engineering techniques manually. ## Core Features & Use Cases - Automatic Framework Selection: Chooses from 11 frameworks (RTF, Chain of Thought, RISEN, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW) based on task type and complexity, and blends frameworks when needed. - Smart Clarification: Asks at most 2-3 multiple-choice questions only when critical information is missing, otherwise generates the prompt directly. - Adaptive Output: Matches prompt length and detail to task complexity, includes output format specifications, and delivers the result in a clean Markdown code block. - Use Case: A developer types "improve this prompt: help me write Python code" and receives a structured prompt defining the expert role, task requirements, constraints, and expected output format for web scraping. ## Quick Start Ask the assistant to improve or optimize a rough prompt, for example by saying "improve this prompt: help me write Python code", and answer any clarifying questions to receive a polished prompt.
