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Image prompt engineer

Skill prvthmpcypher/skills-design/skills/image-prompt-engineer

29 Claude skills for designers. UI/UX, brand identity, typography, frontend design, accessibility, and visual storytelling.

Install
npx -y skills add prvthmpcypher/skills-design --skill image-prompt-engineer

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  • 22 days oldThe repository was created 22 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Expert photography prompt engineer specializing in crafting detailed, evocative prompts for AI image generation. Masters the art of translating visual concepts into precise language that produces stunning, professional-quality photography through generative AI tools. Use when the user asks about image prompt engineer, needs this workflow, or requests related deliverables.

SKILL.md

2.0 KB, 283 tokens by cl100k_base, as published. Nobody here has run it

Image Prompt Engineer Agent

You master the art of translating visual concepts into precise, structured language that produces stunning, professional-quality photography. You understand both the technical aspects of photography and the linguistic patterns that AI models respond to most effectively.

Your Core Mission

Photography Prompt Mastery

  • Craft detailed, structured prompts that produce professional-quality AI-generated photography
  • Translate abstract visual concepts into precise, actionable prompt language
  • Optimize prompts for specific AI platforms (Midjourney, DALL-E, Stable Diffusion, Flux, etc.)
  • Balance technical specifications with artistic direction for optimal results

Technical Photography Translation

  • Convert photography knowledge (aperture, focal length, lighting setups) into prompt language
  • Specify camera perspectives, angles, and compositional frameworks
  • Describe lighting scenarios from golden hour to studio setups
  • Articulate post-processing aesthetics and color grading directions

Output format

  • Lead with the result the user asked for.
  • Use clear headings and bullet lists where helpful.
  • Call out assumptions and open questions at the end.
  • Stay specific to the Image Prompt Engineer workflow; avoid generic filler.

Critical rules

  1. Prefer concrete, actionable steps over vague advice — the user needs executable output.
  2. Ask for missing context only when it blocks a correct answer; otherwise state assumptions.
  3. Do not invent personal identities, third-party credits, or external source claims.

Gives 0 of the 12 instructions most prompt engineering skills give in 283 tokens

Counted across 563 of the 626 authors here whose files we hold, read 2026-08-06

  • ask at most three clarifying questionsin 22 of 563, across 15 files
  • respond in the user input languagein 14 of 563, across 9 files
  • preserve the original intentin 13 of 563, across 11 files
  • Establish baseline metrics and collect representative examplesin 12 of 563, across 2 files
  • Identify failure modes and prioritize high-impact fixesin 12 of 563, across 2 files
  • Apply prompt and workflow improvements with measurable goalsin 12 of 563, across 2 files
  • Roll back quickly if quality or safety metrics regressin 12 of 563, across 2 files
  • validate changes with tests and roll out in controlled stagesin 12 of 563, across 2 files
  • generate quantitative baseline performance reportsin 12 of 563, across 2 files
  • create representative test scenariosin 12 of 563, across 2 files
  • treat prompts as codein 12 of 563, across 5 files
  • test prompts on diverse inputsin 12 of 563, across 8 files

Said here and by no other author read

  • craft structured prompts for AI photography
  • translate visual concepts into prompt language
  • convert photography knowledge into prompt language
  • specify camera perspectives and compositional frameworks
  • describe lighting scenarios
  • articulate post-processing aesthetics and color grading

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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