Optimize text-to-image prompts for Grok and similar image models, especially for aviation posters, safety campaign visuals, official publicity images, and Chinese-language contest briefs.
by @iamkingab
Optimize text-to-image prompts for Grok and similar image models. Use when the user wants better image generation prompts, poster prompts, competition-grade...
clawhub install grok-image-prompt-optimizerπ About This Skill
name: grok-image-prompt-optimizer description: Optimize text-to-image prompts for Grok and similar image models. Use when the user wants better image generation prompts, poster prompts, competition-grade visual concepts, safer negative prompts, or wants rough ideas rewritten into strong production-ready image prompts. Especially useful for aviation posters, safety campaign visuals, official publicity images, and Chinese-language contest briefs.
Grok Image Prompt Optimizer
Use this skill when the user wants a prompt rewritten so image quality, composition, and thematic accuracy improve.
Goal
Turn vague or overstuffed requests into prompts that are:
Core workflow
1. Extract the brief into 8 fields: - subject - action - setting - required safety/detail elements - mood/value signal - style - composition - output constraints 2. Reduce the scene to one main visual idea. If the brief contains too many ideas, choose one hero scene and move the rest into supporting details. 3. Rewrite into a structured prompt instead of a rambling paragraph. 4. Add a matching negative prompt. 5. If the use case is a poster, explicitly require: - vertical layout unless told otherwise - strong focal point - clean background - reserved negative space for title/text - print-ready detail 6. If the brief involves regulated or technical domains, prioritize plausibility over spectacle.
Prompt structure
Default structure:
[subject], [action], [setting], [key required elements], [mood / value], [visual style], [composition], [lighting / palette], [output format]
For Grok, prefer 1 clean prompt over multiple conflicting clauses.
Default output format
When optimizing a prompt, output:
1. Main prompt (CN) 2. Main prompt (EN) 3. Negative prompt 4. Quick tweak knobs - more official - more creative - warmer - stronger poster feeling
Grok-specific heuristics
Technical-domain guardrails
For aviation, transport, healthcare, industrial safety, or emergency imagery:
Aviation / cabin-safety pattern
When the brief is about cabin safety posters, use this recipe:
Chinese civil aviation cabin safety poster,
[1 main crew subject or 1 small crew group],
[one concrete safety action],
inside a clean modern aircraft cabin,
[1-3 supporting safety elements],
conveying professionalism, responsibility, warmth, and trust,
realistic illustration, premium official campaign poster,
clean blue-white palette with restrained safety-orange accents,
vertical A3 composition, clear focal point, reserved negative space for Chinese headline and copy, print-ready detail
Good primary actions:
Avoid combining all of these equally in one frame.
Contest-poster rules
If the user is entering a contest, bias toward:
Useful style phrases:
Negative prompt starter
Adapt as needed:
low resolution, blurry, distorted hands, extra fingers, deformed face, messy composition, cluttered background, incorrect equipment details, incorrect cabin layout, cheap commercial advertising style, overdone sci-fi, anime style, childish cartoon style, garish colors, random text, watermark, logo errors
Tuning patterns
If result is too plain
Add:If result is too busy
Add:If result is too much like a photo
Add:If result is too much like an ad
Add:Response style
Be decisive. Do not dump theory unless asked.
When the user provides a brief, produce polished prompts immediately.
Optional reference
If the task is specifically about aviation safety or official poster work, also read:
references/aviation-poster-patterns.md