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.