智能体工作流

prompt-optimizer

Name: prompt-optimizer
Author: daymade

daymade/claude-…e-skills

Transforms vague prompts or feature requests into precise, testable specifications using EARS (Easy Approach to Requirements Syntax) grounded in relevant domain theories (GTD, BJ Fogg, Gestalt). Use when requirements lack triggers or measurable outcomes, or the user asks to "optimize my prompt" / "improve this requirement" / "make this more specific".

2091 次安装
1500 星标
收录于 2026.01.21

安装命令

$ npx skills add https://github.com/daymade/claude-code-skills --skill prompt-optimizer

SKILL.md

Prompt Optimizer

Overview

Optimize 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.

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), which demonstrated practical EARS application for prompt enhancement.

Four-layer enhancement process:

EARS syntax transformation - Convert descriptive language to normative specifications
Domain theory grounding - Apply relevant industry frameworks (GTD, BJ Fogg, Gestalt, etc.)
Example extraction - Surface concrete use cases with real data
Structured prompt generation - Format using Role/Skills/Workflows/Examples/Formats framework

SKILL.md

Prompt Optimizer

Overview

When to Use

相关 Skills