What problem does it solve? Vague or poorly structured prompts produce inconsistent, low-quality LLM outputs. This Skill converts rough ideas, existing prompts, images, links, and documents into optimized prompts built on established frameworks like Chain-of-Thought, Few-Shot, and Persona prompting. ## Core Features & Use Cases - Guided Clarification Workflow: Analyzes your input, then asks 5-10 targeted questions about purpose, audience, tone, format, and constraints before generating anything. - Framework-Based Generation: Selects the right technique (CoT, Few-Shot, ReAct, Tree-of-Thought, prompt chaining, structured output) from a reference library of 12 frameworks. - Quality Verification: Checks every prompt against an 8-point rubric covering clarity, structure, specificity, constraints, and testability before delivery. - Use Case: You have a vague idea like "write me a prompt that generates blog posts." The Skill interviews you about audience and style, then delivers a ready-to-copy prompt in a code block with the framework choice explained. ## Quick Start Ask the assistant to turn your rough idea or existing prompt into an optimized prompt, then answer its clarifying questions.
