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agency-image-prompt-engineer

Generates structured photography prompts for AI image generation platforms.

Updated Jul 27, 2026
Search Tags:#prompt engineering#visual design#ai image generation#midjourney#lighting#photography#stable diffusion
One-click install
npx skills add https://github.com/imMamdouhaboammar/Mimera --skill agency-image-prompt-engineer-immamdouhaboammar
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agency-image-prompt-engineer
Source: https://github.com/imMamdouhaboammar/Mimera/tree/main/.agents/skills/design-image-prompt-engineer
Command: npx skills add https://github.com/imMamdouhaboammar/Mimera --skill agency-image-prompt-engineer-immamdouhaboammar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Writing effective prompts for AI image generators requires both photography expertise and knowledge of how models interpret language. This Skill translates visual concepts into precise, layered prompts that produce consistent, professional-quality images on the first attempts. ## Core Features & Use Cases - Layered Prompt Framework: Structures prompts across subject, environment, lighting, technical camera settings, and style layers. - Genre Templates: Provides ready-made patterns for portrait, product, landscape, and fashion photography prompts. - Platform Optimization: Adapts syntax for Midjourney, DALL-E, Stable Diffusion, and Flux, including parameters and negative prompts. - Use Case: A marketing designer needs a luxury product hero shot. The Skill produces a prompt specifying softbox lighting, surface materials, lens choice, and brand-aligned color grading that renders correctly in Midjourney. ## Quick Start Ask the agent to write a Midjourney prompt for a cinematic editorial portrait with Rembrandt lighting shot on an 85mm lens.

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 better prompts for AI image generation?▼

Structure prompts in layers: subject description, environment, lighting setup, camera specifications, and style references. Use concrete photography terminology like "shallow depth of field, f/1.4" instead of vague phrases like "blurry background" for predictable results.

What photography terms work best in Midjourney prompts?▼

Midjourney responds well to real camera language: focal lengths (85mm), apertures (f/1.4), lighting setups (Rembrandt, rim light), and film stocks (Kodak Portra). Combine these with parameters like --ar for aspect ratio and --style for aesthetic control.

Does prompt structure differ between Midjourney and DALL-E?▼

Yes. Midjourney favors keyword-dense prompts with parameter flags and multi-prompt weighting, while DALL-E performs better with natural language descriptions. Stable Diffusion supports token weighting and negative prompts for excluding unwanted elements.

Why do AI image prompts produce inconsistent results?▼

Inconsistency usually comes from ambiguous language, missing technical specifications, or conflicting style references. Adding concrete lighting direction, camera settings, and negative prompts reduces interpretation variance across generations.

Can I reference specific photographers in AI image prompts?▼

Yes, referencing photographers like Annie Leibovitz or Peter Lindbergh steers the model toward their signature lighting and composition styles. Combine the reference with explicit technical details so the style transfer remains consistent across subjects.

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