prompt-optimizer

1# Prompt Optimizer
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3## Overview
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5Optimize vague prompts into precise, actionable specifications using EARS (Easy Approach to Requirements Syntax) - a Rolls-Royce methodology for transforming natural language into structured, testable requirements.
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7**Methodology inspired by:** This skill's approach to combining EARS with domain theory grounding was inspired by [阿星AI工作室 (A-Xing AI Studio)](https://mp.weixin.qq.com/s/yUVX-9FovSq7ZGChkHpuXQ), which demonstrated practical EARS application for prompt enhancement.
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9**Four-layer enhancement process:**
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111. **EARS syntax transformation** - Convert descriptive language to normative specifications
122. **Domain theory grounding** - Apply relevant industry frameworks (GTD, BJ Fogg, Gestalt, etc.)
133. **Example extraction** - Surface concrete use cases with real data
144. **Structured prompt generation** - Format using Role/Skills/Workflows/Examples/Formats framework
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16## When to Use
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18Apply when:
19- User provides vague feature requests ("build a dashboard", "create a reminder app")
20- Requirements lack specific conditions, triggers, or measurable outcomes
21- Natural language descriptions need conversion to testable specifications
22- User explicitly requests prompt optimization or requirement refinement
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24## Six-Step Optimization Workflow
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26### Step 1: Analyze Original Requirement
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28Identify weaknesses:
29- **Overly broad** - "Add user authentication" → Missing password requirements, session management
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