meta-optimize-prompt

Rewrites UI text to be concise, consistent and inoffensive while preserving original meaning and context.

14|Updated May 28, 2024

Search Tags:#prompt engineering #optimization #ai #claude #prompt design #anthropic

Ready to run

npx skills add https://github.com/cameronraysmith/vanixiets --skill meta-optimize-prompt

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: meta-optimize-prompt
Source: https://github.com/cameronraysmith/vanixiets/tree/main/modules/home/ai/skills/src/core/meta-optimize-prompt
Command: npx skills add https://github.com/cameronraysmith/vanixiets --skill meta-optimize-prompt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users create more effective prompts for Anthropic's Claude by applying best practices in prompt engineering and adhering to Anthropic's guidelines.

Core Features & Use Cases

Prompt Optimization: Analyzes and rewrites user prompt drafts to improve clarity, specificity, and effectiveness.
Best Practice Adherence: Incorporates techniques like role assignment, context setting, data/instruction separation, few-shot learning, chain-of-thought, hallucination prevention, and structured output formatting.
Use Case: A marketing professional drafts a prompt to generate ad copy. This Skill refines the draft to ensure Claude understands the target audience, brand voice, and desired call to action, leading to higher quality ad copy.

Quick Start

Use the meta-optimize-prompt skill to refine the following prompt draft: "Write an email to a client about a new feature."

Frequently Asked Questions about meta-optimize-prompt

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

FAQPage Schema

How do I optimize a prompt draft for Claude?▼

To optimize a prompt draft for Claude, this Skill analyzes your text and applies Anthropic's best practices, enhancing role assignment, context setting, clarity, and data separation to generate a production-ready prompt tailored for your specific use case.

What prompt engineering techniques improve Claude outputs?▼

Effective prompt engineering techniques for Claude include role assignment, few-shot examples, chain-of-thought reasoning, data/instruction separation, and structured output formatting, all of which this Skill integrates to refine your prompts and prevent hallucinations.

Can I use this Skill to refine prompts for specific use cases like marketing copy?▼

Yes, you can use this Skill to refine prompts for specific use cases like marketing copy. It rewrites your drafts to ensure Claude clearly understands the target audience, brand voice, and desired call to action, leading to higher quality generated content.

How does this prompt optimizer prevent hallucinations in Claude responses?▼

This prompt optimizer prevents hallucinations in Claude responses by restructuring your drafts to explicitly separate data from instructions and by applying chain-of-thought reasoning guidelines, ensuring Claude processes context accurately without generating unsupported information.

What is the best way to structure instructions and examples for Anthropic models?▼

The best way to structure instructions and examples for Anthropic models is to separate data from instructions and use few-shot learning examples. This Skill applies these formatting techniques to your drafts, producing highly effective and structured prompts.