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    AI Cinematic Prompt Engineer

    1

    Architects high-fidelity AI image and video prompts using cinematic vocabulary and model-specific optimizations.

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    See it in action

    You say

    I need a cinematic prompt for a woman in a cafe. The current ones look like AI stock photos and the lighting is boring. Using Soul 2.0.

    Your agent does

    Model: Soul 2.0 Type: Image Aspect ratio: 4:5

    Prompt: A woman in her late 30s, sharp bob haircut, wearing a charcoal wool coat, seated at a corner marble table, staring pensively at a half-empty espresso cup — the posture of deep reflection. A rainy Parisian street visible through the condensation-streaked window behind her. Blue hour twilight, soft practical lamp light from the table reflecting in her eyes. Muted, desaturated tones with deep navy and warm amber accents. Shot on 35mm film, subtle grain.

    Negative prompt: vibrant, neon, high saturation, plastic skin, waxy, cartoon, watermark, blurry, overexposed.

    What you get

    Select the best model for specific visual styles or text-in-image requirements.Structure prompts using a subject-first hierarchy to maximize model attention.Apply professional lighting and color grading terminology to raw concepts.Fix failing generations by diagnosing specific visual symptoms and root causes.

    About this skill

    The problem

    General-purpose LLMs often produce generic, flat, or photorealistically "uncanny" image and video prompts. Developers and creators waste tokens on trial-and-error because they lack the specific technical vocabulary and architectural structure these models require to perform.

    What it does

    • Selects the optimal model for the task across Soul, Flux, Kling, Sora, and others based on specific strengths like text rendering or cultural aesthetics.
    • Builds prompts using a subject-first architecture that prioritizes identity and action over technical clutter.
    • Applies professional cinematography vocabulary for lighting, color palettes, and material textures.
    • Diagnoses failing generations by identifying root causes like motion blur, flat lighting, or model mismatch.
    • Generates structured, copy-paste ready Prompt Blocks including negative prompts and variations.

    Frameworks & tools

    Supports Soul 2.0, Flux 2, Sora 2, Kling 3.0, Veo 3.1, Nano Banana Pro, Seedance 2.0, and GPT Image 2.

    Why this beats prompting it yourself

    Most users over-specify technical parameters which dilutes the model's focus. This skill enforces a specific structural order and uses physical motion anchors rather than vague adjectives, leading to more predictable and high-fidelity outputs.

    Use cases

    • Generating high-conversion product photography prompts for e-commerce.
    • Creating consistent cinematic narrative shots for video production.
    • Ensuring perfect text rendering for branded social media assets.
    • Troubleshooting "plastic" skin textures or distorted anatomy in AI portraits.

    Known limitations

    Does not perform inpainting or direct image editing. Focuses purely on prompt engineering and diagnostic logic.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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