prompt-engineer

Engineer and optimize prompts for Claude, GPT, and Gemini LLMs.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/j94469669-stack/CONTENTMASHINA --skill prompt-engineer-j94469669-stack
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-engineer
Source: https://github.com/j94469669-stack/CONTENTMASHINA/tree/main/openclaw-content-factory/skills/prompt-engineer
Command: npx skills add https://github.com/j94469669-stack/CONTENTMASHINA --skill prompt-engineer-j94469669-stack

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the creation and optimization of prompts for various Large Language Models (LLMs), ensuring clearer, more effective AI interactions and better results.

Core Features & Use Cases

  • Prompt Generation: Create new prompts from a simple task description.
  • Prompt Optimization: Refine existing prompts for improved accuracy and relevance.
  • Model-Specific Tuning: Adapt prompts for Claude, GPT, Gemini, and other models.
  • Use Case: You need to write a prompt for an AI to generate marketing copy. Instead of guessing, you use this Skill to create a prompt that specifies the target audience, desired tone, and key selling points, leading to much better copy.

Quick Start

Use the prompt-engineer skill to create a prompt for generating social media posts about a new product launch.

Frequently Asked Questions about prompt-engineer

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

FAQPage Schema
How do I optimize prompts for Large Language Models like Claude and GPT?

Prompt optimization refines existing LLM prompts for improved accuracy and relevance. This Skill applies advanced techniques and structured workflows to debug and tune prompts specifically for models like Claude, GPT, and Gemini.

What is the best way to create an AI prompt from a task description?

Creating an AI prompt from a task description involves specifying target audience, desired tone, and key constraints. This Skill generates structured prompts from simple task descriptions to ensure clearer, more effective AI interactions and better results.

Can I adapt an existing prompt for different LLMs such as Gemini?

Model-specific adaptation tunes existing prompts for different LLMs like Gemini, Claude, and GPT. This Skill modifies your prompt structure to align with the specific mechanisms and requirements of each model for optimal effectiveness.

Why does my LLM prompt produce irrelevant or inaccurate responses?

Inaccurate LLM responses often result from unclear prompt structure or missing context. Prompt debugging identifies these issues, and optimization techniques refine the prompt to improve clarity, accuracy, and relevance.

Do I need prior prompt engineering experience to refine prompts effectively?

No prior experience is needed to refine prompts effectively. This Skill streamlines the creation and optimization process through structured workflows and reference materials, guiding users to specify key parameters like target audience and desired tone for better results.