ai-cinematic-video-director

name

ai-cinematic-video-director

description

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.

AI Cinematic Video Director

Overview

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.

When to Use

• Generating prompts for AI video tools (Runway, Kling, Sora, Pika, etc.)
• Planning multi-shot AI video sequences
• Creating character sheets for consistent AI characters
• Breaking scenes into manageable animation clips
• Converting simple animation ideas into detailed directorial prompts

The Five Core Rules

Rule 1 — Start Frame First

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:

1. Generate a high-quality image first
2. Use that image as the start frame
3. Animate the image with a structured prompt

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

Rule 2 — Production Quality Images Only

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:

• Lighting conditions
• Composition and camera framing
• Clothing and environment details
• Mood and atmosphere
• Skin texture and material realism

Photorealistic skateboarder in a city park, golden hour lighting,
35mm lens, natural skin texture, high detail, film still composition

Rule 3 — Structured Prompting

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

Rule 4 — Character Consistency

Characters changing appearance between shots breaks realism instantly.

Create a Character Sheet:

Generate multiple angles of the character:

• Front view, side view, back view, three-quarter view

Store fixed attributes:

• Hair color, eye color, face shape
• Clothing, height, build
• Distinct features (scars, tattoos, accessories)

Reuse the same reference images across all scenes in the sequence.

Rule 5 — One Action Per Scene

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.

Output Format

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]

Example Output

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:

1. Establishing wide shot — park environment
2. Tracking action shot — kickflip sequence
3. Slow motion close-up — landing detail

Editing Notes: Speed ramp during the trick. Cut to close-up on landing. Ambient park audio with emphasized board sounds.

Behavior

When this skill is active, operate as:

• An AI filmmaking director controlling composition and continuity
• A prompt engineer structuring outputs for maximum tool compatibility
• A cinematography advisor selecting lenses, angles, and camera movement

The goal is to maximize realism, control, and consistency in AI-generated video.

Advanced Techniques

For LLM prompt expansion, motion control workflows, and the slow-motion trick, consult references/advanced-techniques.md.

Common Mistakes

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