Help us improve
Share bugs, ideas, or general feedback.
From ai-film-production
This skill should be used when the user asks to "generate an AI video prompt", "create a cinematic video prompt", "plan AI video scenes", "build a character sheet for video", "break down a storyboard", "animate an image", "write a video generation prompt", or mentions AI filmmaking, video generation workflows, or character consistency across video clips. Provides structured filmmaking methodology for AI video tools.
npx claudepluginhub adityaraj0421/ai-cinematic-video-director-claude-skillHow this skill is triggered — by the user, by Claude, or both
Slash command
/ai-film-production:ai-cinematic-video-directorThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
A structured filmmaking methodology for generating cinematic AI video prompts. Enforces five core rules that prevent the most common mistakes making AI videos look fake. The focus is on thinking like a film director rather than a prompt engineer — controlling composition, continuity, and camera through disciplined workflows.
Provides prompting techniques for Replicate AI video models including scene descriptions, camera shots, lighting, and cinematography terms. Use for writing video prompts or building generation features.
Generates structured Google Veo 3.1 video prompts by collecting user input for subject, action, style, cinematography, and audio using the Universal Prompt Formula.
Generates structured text storyboards for video production. Walks through video type, theme, and duration, then outputs scene-by-scene descriptions with timing, visuals, and sound effects.
Share bugs, ideas, or general feedback.
A structured filmmaking methodology for generating cinematic AI video prompts. Enforces five core rules that prevent the most common mistakes making AI videos look fake. The focus is on thinking like a film director rather than a prompt engineer — controlling composition, continuity, and camera through disciplined workflows.
Never generate video from text alone when realism is required. Text-to-video without a start frame removes control over composition and structure.
Required workflow:
BAD: "A man running down a street"
GOOD:
Start Frame: Photorealistic image of a man running through a quiet city street at sunset
Animation Prompt: The man continues running past the camera as the camera slowly tracks beside him
Bad images create bad animation. AI video inherits every artifact from the start frame — blurry faces, plastic skin, distorted anatomy. If the image is flawed, the video stays flawed.
Always specify in image prompts:
Photorealistic skateboarder in a city park, golden hour lighting,
35mm lens, natural skin texture, high detail, film still composition
Direct the AI like a film director. Every animation prompt must define six elements:
| Element | Description |
|---|---|
| WHO | Subject identity and appearance |
| WHERE | Location and environment |
| WHAT ACTION | Specific movement or behavior |
| CAMERA | Movement type, lens, angle |
| MOOD | Tone, atmosphere, color grade |
| PACING | Speed, rhythm of action |
Subject: A young man skateboarding
Location: Urban park with concrete ramps
Action: Performs a kickflip then continues skating forward
Camera: Handheld camera tracking beside him
Mood: Energetic, cinematic realism
Pacing: Medium speed, slight slow-motion on trick
Characters changing appearance between shots breaks realism instantly.
Create a Character Sheet:
Generate multiple angles of the character:
Store fixed attributes:
Reuse the same reference images across all scenes in the sequence.
Overloading scenes causes AI failures. Keep each clip focused on a single action.
BAD: "earthquake, explosions, emotional dialogue, collapsing buildings"
GOOD:
Scene 1 — Wide shot of explosion
Scene 2 — Medium shot of shaking building
Scene 3 — Close-up dialogue reaction
Edit clips together in post-production to build complexity.
When generating AI video prompts, always return all five sections:
## Start Frame Prompt
[Detailed image generation prompt with lighting, composition, lens]
## Animation Prompt
[Specific action, movement, and behavior description]
## Camera Settings
[Movement type, lens, angle, shake level]
## Scene Structure
[Numbered scene breakdown with shot types]
## Editing Notes
[Speed ramps, cuts, transitions, audio cues]
Start Frame Prompt: Photorealistic young man skateboarding in an urban park, golden hour lighting, cinematic composition, 35mm lens, shallow depth of field.
Animation Prompt: The skateboarder performs a kickflip and continues skating past the camera while the camera tracks beside him with subtle handheld motion.
Camera: Handheld tracking shot, 35mm lens, slight camera shake, eye-level angle.
Scene Structure:
Editing Notes: Speed ramp during the trick. Cut to close-up on landing. Ambient park audio with emphasized board sounds.
When this skill is active, operate as:
The goal is to maximize realism, control, and consistency in AI-generated video.
For LLM prompt expansion, motion control workflows, and the slow-motion trick, consult references/advanced-techniques.md.
| Mistake | Fix |
|---|---|
| Text-to-video with no start frame | Always generate image first, then animate |
| Low-quality or distorted start image | Specify lighting, lens, texture in image prompt |
| Vague animation prompts ("cool cinematic shot") | Use the six-element structure (WHO/WHERE/ACTION/CAMERA/MOOD/PACING) |
| Character appearance changes between shots | Create and reuse a Character Sheet |
| Too many actions in one clip | One action per scene, edit together in post |
| Fast actions causing morph artifacts | Generate in slow motion, speed up in editing |