How does this improve AI-generated code?

By providing precise triggers, constraints, and structured workflows, the AI receives a clearer roadmap, which significantly reduces hallucinations and results in more accurate, testable code.

What is the EARS methodology?

EARS (Easy Approach to Requirements Syntax) is a structured template for writing requirements that reduces ambiguity by using specific patterns such as event-driven, state-driven, and conditional triggers.

Does this skill support domain-specific frameworks?

Yes, it applies relevant theories such as GTD for productivity, BJ Fogg for behavior change, and Gestalt principles for UI/UX design to ground the generated prompts in proven industry frameworks.

When should I use the Prompt Optimizer skill?

Use this skill when you have a loose idea, ambiguous feature description, or a 'raw' requirement that needs to be more specific before being used for AI-generated code or products.

Prompt Optimizer

Name: Prompt Optimizer
Author: nguyendinhquocx

bynguyendinhquocx

Aprendizaje y Documentación

Transforms vague requests into precise, structured specifications using the EARS methodology and domain-specific frameworks.

Acerca de

The Prompt Optimizer skill bridges the gap between loose natural language requirements and high-quality AI outputs. By utilizing the Easy Approach to Requirements Syntax (EARS) and grounding prompts in established domain theories like GTD or Gestalt principles, it converts ambiguous feature descriptions into testable, actionable specifications. This skill is ideal for developers and product managers who need to refine requirements for AI-generated code, documentation, or product designs, ensuring that resulting AI outputs are professional, accurate, and aligned with industry best practices.

Características Principales

Automated extraction of concrete examples and real-world data
EARS-based syntax transformation for testable requirements
Analysis of original requirements to identify and fix ambiguity
Structured Role/Skills/Workflow/Example output formatting
Domain theory grounding using frameworks like GTD and BJ Fogg
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Casos de Uso

Optimizing prompts for generating complex application code with specific triggers
Refining project requirements to ensure they are measurable and testable
Converting vague feature requests into detailed engineering specifications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nguyendinhquocx/code-ai prompt-optimizer

For use in Claude.ai and ChatGPT

Download Skill

GitHub