Auto Video Prompt Reverse Engineer v3.0#

Advanced AI video prompt reverse engineering. Input video/screenshot/description → structured prompts + reproduction workflow.

When This Skill Triggers#

User provides any of:

• Video link (Bilibili, YouTube, TikTok, Xinpianchang, etc.)
• Video file or screenshot(s)
• Text description of a video's visual style
• Request to analyze, deconstruct, replicate, or reverse-engineer a video

Analysis Rules — Every Shot Must Include#

DimensionRequired AnalysisShot TypeECU / CU / MCU / MS / MWS / WS / EWSCamera MovementStatic / Pan / Tilt / Dolly / Tracking / Crane / Handheld / Orbit / Zoom / Speed Ramp / Snap Zoom / Whip PanCompositionRule of thirds / Centered / Symmetrical / Leading lines / Dutch angle / Low angle / Over-shoulderLightingNatural / Studio / Neon / Volumetric / Rim / Backlit / High-key / Low-key / Spotlight / Strobe / Muzzle flashColorPalette name, color temperature (warm/cool), contrast curve, saturation levelSubject MotionWalking / Running / Dancing / Falling / Turning / Slow motion / Freeze frameDepth of FieldShallow / Deep / Rack focusTextureFilm grain / CGI / Ultra realistic / Painted / Pixel artTemporalNormal speed / Slow motion / Time-lapse / Freeze frame

Style Identification Checklist#

Must identify ALL that apply:

• Director style: Nolan, Villeneuve, Refn, Deakins, Wes Anderson, Snyder, etc.
• Film genre: Cyberpunk, Atomic Punk, Film Noir, Neo-western, Post-apocalyptic, etc.
• Animation style: Anime, cel-shaded, stop-motion, etc.
• CG style: Photoreal, stylized, low-poly, etc.
• Commercial style: Product hero, lifestyle, fashion, tech reveal
• AI artifacts: Temporal flicker, morphing faces, smooth physics, perfect lighting, etc.
• Color grading: Teal-orange, bleach bypass, film noir, vaporwave, golden hour, kodachrome, etc.
• Lens style: Anamorphic flare, tilt-shift, bokeh characteristics, focal length
• Film stock: Kodak Portra, Fuji Pro, Kodachrome, etc.

Model Estimation#

Identify likely AI model(s) used:

• Kling: Smooth motion, Chinese prompt friendly, good physics
• Seedance (小云雀): Audio-visual sync, immersive short film mode, character consistency
• Runway Gen-3: Camera controls (Pan, Zoom, Roll), cinematic quality
• Veo: Advanced cinematographic natural language understanding
• Sora: Narrative prompts, long duration, complex physics
• Pika: Short clips, motion parameter control
• SVD: Image-to-video, motion_bucket_id control
• Wan/CogVideoX: Chinese-optimized, shorter clips
• Midjourney/Flux: Keyframe generation (not video)

Prompt Reverse Engineering Template#

For EACH shot, output:

Shot XX#

Content: [what's happening]

Camera Language: [shot type + composition]

Motion: [camera movement type]

Lighting: [lighting setup]

Color: [palette + temperature]

Material/Texture: [film grain / CGI / realistic]

Subject Action: [what the subject does]

Positive Prompt: [structured prompt: Subject + Action + Environment + Camera + Lighting + Color Grade + Style + Technical] Negative Prompt: [what to exclude] Camera Prompt: [lens focal length, movement, angle] Style Prompt: [director reference, film stock, genre] Lighting Prompt: [specific lighting setup] Parameters: [aspect ratio, FPS, motion scale, CFG, model]

Output Format#

Use this structure for every analysis:

`

Video Overall Style Analysis#

Video Type#

• [Short film / Commercial / MV / Documentary / etc.]

Overall Style#

• [Atomic Punk + Post-apocalyptic Western / Cyberpunk / etc.]

Director Reference#

• [Most similar director(s) and why]

Editing Rhythm#

• [Slow build / Fast cuts / Montage / etc.]

Estimated AI Model(s)#

• [Primary model + supporting tools]

AI Generation Artifacts Detected#

• [List specific tells]

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Shot Breakdown#

Shot 01#

[Full analysis per template above]

Shot 02#

[Continue for ALL key shots]

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Global Reverse-Engineered Prompts#

Global Style Prompt (applies to all shots)#

[Master style anchor prompt]

Global Negative Prompt#

[What to always exclude]

Global Camera Prompt#

[Default lens, movement vocabulary, aspect ratio]

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Parameter Estimation#

ParameterValueAspect Ratio[e.g. 2.39:1]FPS[e.g. 24fps cinematic]Lens Range[e.g. 24mm-85mm]LUT Style[e.g. Bleach Bypass Warm]Color Temperature[e.g. 4500K warm]Depth of Field[e.g. Shallow f/1.4-2.8 for CU, Deep f/8-11 for WS]Shutter Feel[e.g. 180-degree shutter, 1/48s at 24fps]Film Grain[e.g. Medium, 35mm Tri-X 400 punch]Primary Model[e.g. Seedance 2.0]Secondary Tools[e.g. Midjourney for keyframes, DaVinci for grade]

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Reproduction Workflow#

1. Keyframe Generation → Midjourney / Flux → Generate character concept art + scene reference images

2. Video Generation → Choose based on style:

   • Ads / Product / Tech: HappyHorse (快马) — Best for advertising & futuristic tech style
   • Narrative / Short Film: Kling / Seedance / Runway → Text + reference image to video
   • Creative / Art: Veo / Sora → Complex cinematic scenes
   • Quick iteration: Pika / SVD → Short clips, rapid testing

3. Director Method → Write director-style prompts (WHY characters do things, not just WHAT)

4. Audio Sync → Seedance immersive mode for audio-visual sync / manual foley / HappyHorse dialogue support

5. Color Grade → DaVinci Resolve → Match LUT, cascade correction

6. Enhance → Topaz Video AI → Upscale + denoise + stabilize

7. Compose → Premiere / Final Cut → Edit, rhythm cuts, music sync

8. Final Pass → Film grain overlay, letterboxing, sound mix

HappyHorse Prompt Optimization Rules#

When generating HappyHorse prompts, apply these transformations:

• Remove negatives: Replace "no helmet" → "helmet removed, resting on metal stand beside"
• Visual substitution: Replace "back to camera" → describe what the back LOOKS LIKE (helmet top reflecting light, shoulder armor V-shape)
• Three-level shot control: [Shot type] + [Angle anchor] + [1-2 micro details]
• Cinematic keywords: Always append quality tags (cinematic quality, film grain, etc.)
• Chinese content: Write prompts in Chinese for best results
• Prompt length: 50-150 characters optimal; too long causes semantic drift
• No dialogue by default: Only add dialogue when user explicitly requests it
• Dialogue duration estimation: Slow speech ≈ 3-4 chars/sec, normal ≈ 5-6 chars/sec; always leave 1-2s buffer for transitions `

Pro Tips (from real creators)#

• Tell AI WHY, not just WHAT: "Character presses hat down because wind might blow it off" > "Character presses hat"
• Use non-human characters to bypass uncanny valley (robots, pixels, masks)
• Don't draw storyboards: Use scene reference image + character image + text direction
• Keep AI surprises: When generation gives unexpected good results, fold them into narrative
• Credit your models: List all AI tools used, treat them as "cast and crew"
• Multiple takes: Generate 10-20 variations per shot, select the best action/rhythm

References#

See references/model_params.md for model parameters, lens focal lengths, and color grading keyword reference.