prompt-optimizer

Analyze user prompts for clarity and suggest improvements with component matching.

Updated May 28, 2026
One-click install
npx skills add https://github.com/Aytsuu/codemini --skill prompt-optimizer-aytsuu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-optimizer
Source: https://github.com/Aytsuu/codemini/tree/main/.agents/skills/prompt-optimizer
Command: npx skills add https://github.com/Aytsuu/codemini --skill prompt-optimizer-aytsuu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps users refine their prompts to ensure they are clear, concise, and effective, leading to better responses and outcomes.

Core Features & Use Cases

  • Prompt Analysis: Analyze the intent and structure of the prompt.
  • Optimization Suggestions: Provide advice on how to improve the prompt.
  • Component Matching: Match the prompt to relevant workspace components.
  • Output Formatting: Present the optimized prompt ready for use.

Quick Start

To optimize your prompt, use the prompt-optimizer skill with your draft text.

Frequently Asked Questions about prompt-optimizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize prompts for better AI interactions and clearer responses?

You can optimize prompts for better AI interactions by analyzing the prompt structure and intent, then applying suggested refinements to improve clarity and efficiency for more effective responses.

What is prompt analysis and how does it improve prompt structure?

Prompt analysis evaluates the intent and structure of your draft text to identify ambiguities, ensuring the prompt matching process aligns your request with relevant workspace components for accurate results.

How do I match my text to relevant workspace components using prompt refinement?

Prompt refinement matches your text to relevant workspace components by analyzing the prompt intent and suggesting structural improvements, ensuring your request maps accurately to the available components.

Does this prompt optimization approach require specific prompt structures to work?

Yes, this prompt optimization approach requires understanding common prompt structures and matching algorithms to effectively analyze your draft text and generate actionable refinement suggestions.

What is the best way to refine a draft prompt for efficiency before sending it?

The best way to refine a draft prompt for efficiency is to analyze it for clarity and conciseness, apply optimization suggestions, and format the output to present an optimized prompt ready for use.

Why does my AI response lack clarity despite a detailed prompt?

Your AI response may lack clarity because the prompt structure is inefficient; analyzing the prompt intent and applying optimization suggestions can refine the text to produce clearer outcomes.