clavix-improve

Analyze and optimize prompts across six quality dimensions.

Updated Feb 22, 2026

Search Tags:#prompt engineering #prompt optimization #llm #ai assistant #quality assessment #prompt refinement

Ready to run

npx skills add https://github.com/g5becks/oxlint-plugins --skill clavix-improve-g5becks

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: clavix-improve
Source: https://github.com/g5becks/oxlint-plugins/tree/main/.skills/clavix-improve
Command: npx skills add https://github.com/g5becks/oxlint-plugins --skill clavix-improve-g5becks

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of poorly written or ineffective prompts that lead to suboptimal AI outputs, saving time and improving the quality of AI-generated results.

Core Features & Use Cases

Prompt Analysis: Evaluates prompts across six key dimensions: Clarity, Efficiency, Structure, Completeness, Actionability, and Specificity.
Automated Optimization: Applies proven improvement patterns to enhance prompt quality.
Depth Selection: Intelligently chooses between standard or comprehensive analysis based on the prompt's initial quality score.
Use Case: Before submitting a complex code generation request, use this Skill to ensure the prompt is precise, actionable, and contains all necessary technical details, leading to more accurate and useful code.

Quick Start

Use the clavix-improve skill to analyze and optimize the following prompt: "write some code for a website".

Frequently Asked Questions about clavix-improve

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

FAQPage Schema

How do I optimize prompts for better AI assistant responses?▼

To optimize prompts for AI assistants, you need to evaluate them across six dimensions: Clarity, Efficiency, Structure, Completeness, Actionability, and Specificity. Applying targeted improvement patterns to these areas refines prompt quality and produces more accurate LLM outputs.

What is prompt quality assessment and how does it work?▼

Prompt quality assessment is the process of analyzing a prompt across six dimensions including Clarity, Completeness, and Actionability. It calculates an initial quality score to determine whether a standard or comprehensive analysis depth is needed for effective prompt refinement.

How do I improve a vague prompt for complex code generation requests?▼

Improving a vague prompt for code generation involves analyzing its structure and specificity, then applying improvement patterns to ensure it is precise, actionable, and contains all necessary technical details. This yields an enhanced prompt that generates more useful code.

Can I save optimized prompts to a specific directory automatically?▼

Yes, you can save optimized prompts to a specified directory. The prompt optimization process generates an enhanced prompt and provides the option to save the refined output directly to your local file system for future use.

When should I use comprehensive vs standard prompt analysis?▼

The choice between comprehensive and standard prompt analysis depends on the prompt's initial quality score. The system intelligently selects comprehensive analysis for lower-scoring prompts that require deeper refinement, while standard analysis handles prompts needing minor adjustments.

Why does my LLM output lack detail even when my prompt seems clear?▼

LLM output lacks detail when prompts score low in Completeness or Specificity. Assessing your prompt against a six-dimension quality framework identifies missing structural elements and applies refinement patterns to elicit more comprehensive AI responses.