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prompt-engineering

Optimize prompts for LLMs, image generators, and video models.

Updated Apr 13, 2026
Search Tags:#prompt engineering#image generation#LLM prompting#AI model optimization#video modeling
One-click install
npx skills add https://github.com/optioni/dungeons-and-dragons --skill prompt-engineering-optioni
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-engineering
Source: https://github.com/optioni/dungeons-and-dragons/tree/main/.claude/skills/prompt-engineering
Command: npx skills add https://github.com/optioni/dungeons-and-dragons --skill prompt-engineering-optioni

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of achieving consistent and high-quality outputs from AI models by providing tools and techniques for effective prompt engineering.

Core Features & Use Cases

  • Prompt Engineering Techniques: Offers techniques for LLMs, image generators, and video models, including chain-of-thought, few-shot, system prompts, and negative prompts.
  • Model-Specific Tips: Provides advice for using Claude, GPT-4, Gemini, FLUX, Veo, and Stable Diffusion.
  • Use Case: Enhance the performance of an AI model by optimizing prompts for better results in complex tasks.

Quick Start

Run the infsh app run openrouter/claude-sonnet-45 command with a well-structured prompt for the Claude model.

Frequently Asked Questions about prompt-engineering

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

FAQPage Schema
How do I optimize prompts for different AI models like Claude and Stable Diffusion?▼

To optimize AI model prompts, apply model-specific techniques such as system prompts for Claude or negative prompts for Stable Diffusion. This ensures consistent, high-quality outputs across LLMs, image generators, and video models.

What prompt engineering techniques improve LLM outputs for complex tasks?▼

Prompt engineering techniques like chain-of-thought, few-shot, and system prompts improve LLM outputs for complex tasks. These methods provide structured guidance, enhancing the performance of models like GPT-4 and Gemini.

Do I need a specific CLI to run prompt engineering scripts for image generation?▼

Yes, you need the inference.sh CLI to run prompt engineering scripts. You can execute commands like `infsh app run openrouter/claude-sonnet-45` with well-structured prompts to generate optimized outputs.

What's the best way to structure negative prompts for FLUX and video models?▼

The best way to structure negative prompts for FLUX and video models is using provided model-specific tips and best practices. This tailors the prompt to effectively guide the image or video generation process.

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