agency-image-prompt-engineer

Translate visual concepts into platform-optimized image-generation prompts.

Updated Feb 11, 2026
One-click install
npx skills add https://github.com/augustoheiss/LogicDefense --skill agency-image-prompt-engineer-augustoheiss
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agency-image-prompt-engineer
Source: https://github.com/augustoheiss/LogicDefense/tree/main/.gemini/skills/agency-image-prompt-engineer
Command: npx skills add https://github.com/augustoheiss/LogicDefense --skill agency-image-prompt-engineer-augustoheiss

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Translates high-level visual ideas and photography briefs into precise, platform-optimized prompts so users get consistent, professional-quality AI-generated images without guesswork or repeated iterations.

Core Features & Use Cases

  • Structured Prompt Frameworks: Layered templates for subject, environment, lighting, technical camera specs, and post-processing to ensure completeness and clarity.
  • Platform Optimization: Adjusts syntax and parameters for Midjourney, DALL-E, Stable Diffusion, and similar tools, including negative prompts and aspect ratio guidance.
  • Use Case: A creative director can convert a mood board and reference photos into repeatable prompts for a fashion editorial shoot, including lighting setup, lens choice, and color grade for consistent batch generations.

Quick Start

Create a cinematic portrait prompt for a 30-year-old subject: golden hour side lighting, 85mm f/1.4 shallow depth of field, editorial styling, warm color grade, and 3:2 aspect ratio optimized for Midjourney.

Frequently Asked Questions about agency-image-prompt-engineer

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

FAQPage Schema
How do I write Midjourney prompts for consistent photorealistic photography?

To write Midjourney prompts for consistent photorealistic photography, you need structured frameworks specifying subject attributes, lighting, camera settings, and aspect ratios. This approach translates visual concepts into precise, platform-optimized language to achieve professional-quality outputs.

What is the best way to structure an AI image generation prompt for a fashion editorial?

The best way to structure an AI image generation prompt for a fashion editorial is using layered templates. These templates layer subject, environment, lighting, technical camera specs, and post-processing to ensure completeness and clarity for consistent batch generations.

Can I use the same prompt structure for DALL-E, Stable Diffusion, and Midjourney?

You cannot use the exact same prompt structure for DALL-E, Stable Diffusion, and Midjourney without adjustments. Prompt engineering requires platform optimization to adjust syntax, parameters, negative prompts, and aspect ratio guidance for each specific tool.

How do I add negative prompts and aspect ratios to a Stable Diffusion prompt?

To add negative prompts and aspect ratios to a Stable Diffusion prompt, you must apply platform-specific parameters. Specifying these constraints alongside subject attributes and lighting setups ensures consistent, professional-quality AI-generated images.

Why do my AI-generated portraits lack consistent lighting and depth of field?

Your AI-generated portraits lack consistent lighting and depth of field because the prompt lacks precise technical camera specs. Specifying details like golden hour side lighting, 85mm f/1.4 shallow depth of field, and color grade ensures consistent photorealistic outputs.