Image Prompt Engineer

Generates structured photography prompts for AI image generation platforms like Midjourney and DALL-E.

2|Updated May 21, 2026
One-click install
npx skills add https://github.com/tcvdog/agency-agents-hermes --skill image-prompt-engineer-tcvdog
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Image Prompt Engineer
Source: https://github.com/tcvdog/agency-agents-hermes/tree/main/design/image-prompt-engineer
Command: npx skills add https://github.com/tcvdog/agency-agents-hermes --skill image-prompt-engineer-tcvdog

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Translating a visual concept into text that AI image generators interpret correctly is difficult, often requiring many failed iterations. This Skill converts visual ideas into precise, layered prompts using real photography terminology so generated images match the intended concept on the first attempts. ## Core Features & Use Cases - Layered Prompt Construction: Builds prompts across subject, environment, lighting, technical camera, and style layers using accurate photography vocabulary. - Platform-Specific Optimization: Adapts prompt syntax for Midjourney parameters, DALL-E natural language, Stable Diffusion token weighting, and Flux descriptions. - Genre Templates: Provides ready-made prompt patterns for portrait, product, landscape, and fashion photography. - Use Case: A marketing designer needs a luxury product hero shot. The Skill produces a complete prompt specifying softbox lighting, surface materials, lens choice, and post-processing style aligned with the brand aesthetic. ## Quick Start Ask the agent to write a Midjourney prompt for a cinematic portrait of a musician with Rembrandt lighting and an 85mm shallow depth of field look.

Frequently Asked Questions about Image Prompt Engineer

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

FAQPage Schema
How do I write better prompts for Midjourney and DALL-E?▼

Structure prompts in layers: subject details, environment, lighting direction and quality, camera specs like focal length and aperture, then style references. Use concrete photography terms such as "shallow depth of field, f/1.4 bokeh" instead of vague words like "blurry background".

What photography terms should I use in AI image prompts?▼

Use real technical vocabulary: lighting setups (Rembrandt, butterfly, rim light), lens effects (85mm compression, wide angle distortion), exposure styles (high key, low key), and film stocks (Kodak Portra, Cinestill 800T). AI models recognize these terms and render them more accurately.

Does prompt syntax differ between Midjourney, DALL-E, and Stable Diffusion?▼

Yes. Midjourney uses parameters like --ar and --style with multi-prompt weighting, DALL-E responds best to natural language descriptions, and Stable Diffusion supports token weighting and negative prompts. The Skill adapts prompt structure to each platform's conventions.

Why do my AI-generated images not match my prompt?▼

Mismatch usually comes from ambiguous language, missing technical specifications, or contradictory details like lighting direction conflicting with shadows. Adding negative prompts, specifying aspect ratio, and layering subject-to-style information reduces misinterpretation.

Can AI image prompts replicate a specific photographer's style?▼

Yes, referencing photographers like Annie Leibovitz or Peter Lindbergh guides the model toward their aesthetic. Combine the reference with concrete lighting, lens, and color grading details for more predictable style transfer across different subjects.