One-click install
npx skills add https://github.com/wyattowalsh/agents --skill prompt-engineer-wyattowalsh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-engineer
Source: https://github.com/wyattowalsh/agents/tree/main/skills/prompt-engineer
Command: npx skills add https://github.com/wyattowalsh/agents --skill prompt-engineer-wyattowalsh

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps you craft, analyze, and refine prompts for any AI system, ensuring you get the best possible results and avoid common pitfalls.

Core Features & Use Cases

  • Prompt Crafting: Generate new prompts from scratch based on your requirements.
  • Prompt Analysis & Auditing: Diagnose existing prompts for clarity, robustness, and efficiency, with actionable suggestions for improvement.
  • Model Conversion: Adapt prompts to work effectively across different AI model families (e.g., Claude, GPT, Gemini).
  • Evaluation Framework Design: Build test suites and rubrics to systematically measure prompt performance.
  • Use Case: You need to create a system prompt for a customer support chatbot. Use this Skill to draft an effective prompt, then analyze it to ensure it's clear, concise, and handles potential user errors gracefully.

Quick Start

Use the prompt engineer skill to craft a system prompt for a RAG customer support agent on Claude.

Frequently Asked Questions about prompt-engineer

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

FAQPage Schema
How do I optimize AI prompts for better LLM performance?

To optimize AI prompts for better LLM performance, you can analyze and audit existing prompts to diagnose issues with clarity, robustness, and efficiency, then apply research-backed principles and actionable suggestions to refine them.

What is the best way to convert prompts between different AI model families?

The best way to convert prompts between different AI model families like Claude, GPT, and Gemini is to use model-specific playbooks that adapt prompts to ensure effective model fit and peak performance across target systems.

How do I build an evaluation framework to test prompt performance?

You can build an evaluation framework to test prompt performance by designing dedicated test suites and rubrics that systematically measure how well your prompts handle clarity, completeness, and robustness.

Can I diagnose why my existing AI prompt is not working as expected?

Yes, you can diagnose why an existing AI prompt is not working by performing a prompt analysis and audit, which identifies specific weaknesses in clarity, robustness, and efficiency, providing actionable suggestions for improvement.

Does this approach work for crafting system prompts for customer support chatbots?

Yes, this approach works for crafting system prompts for customer support chatbots by guiding you through prompt generation from scratch to ensure the final prompt is clear, concise, and handles potential user errors gracefully.

What principles are used for AI prompt analysis and refinement?

AI prompt analysis and refinement leverages research-backed principles and model-specific playbooks to enhance clarity, completeness, efficiency, robustness, and model fit for your specific AI system.