Ai Cinematic Video Director

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 |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Adityaraj0421
• Source: Adityaraj0421/ai-cinematic-video-director-claude-skill
• License: MIT

Install and usage instructions live in the source repository linked above.