prompt__writing-persona

What problem does it solve?

This Skill helps you tighten and guide LLM output by teaching you to apply three research-backed prompt-engineering techniques. It reduces vague results, increases relevance, and speeds up reaching high-quality responses by providing structured conditioning signals to the model.

Core Features & Use Cases

• EmotionPrompt: append emotional stakes and positive framing to prompts to increase effort and quality.
• Structured Expert Framing: replace vague labels with rich, multi-faceted expert personas to steer reasoning.
• Track Record / Self-Efficacy: include past success signals to bias the model toward higher-quality outputs.
• Use Case: when you want to write, optimize, or review prompts for writing, coding, or analysis tasks, especially for high-stakes or complex prompts.

Quick Start

Provide a rewritten prompt that applies EmotionPrompt, Structured Expert Framing, and Track Record signals to maximize LLM output quality.