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Ai Character Consistency Planner
Build reusable visual bibles and continuity plans to prevent character drift in AI filmmaking and image generation.
$5
Ai Character Consistency Planner
Example session with this skill installed
Create a consistency plan for 'Jax', a 30-year-old cyber-noir detective. He has a jagged scar over his left eye, wears a weathered tan trench coat, and always carries a cracked digital flask.
- Read your context and instructions
- Compiled the ai character consistency
I have processed the character details for Jax and established the identity locks for your cyber-noir production.
Character Consistency System: Jax
1. Identity Profile & Visual Locks
| Attribute | Lock Status | Descriptive Constraint |
|---|---|---|
| Name/ID | Primary | Jax (30yo Male) |
| Facial Mark | CRITICAL | Jagged vertical scar, left eye, 2 inches long |
| Wardrobe | FIXED | Weathered tan trench coat, popped collar, frayed cuffs |
| Signature Prop | FIXED | Cracked digital flask, glowing blue rim |
| Hair | STABLE | Short, dark charcoal undercut, messy texture |
| Skin/Build | STABLE | Rugged, stubble, lean athletic build |
2. Master AI Prompt (Reusable)
Cinematic cyber-noir style, 30-year-old man named Jax, rugged facial features, jagged vertical scar over left eye, messy charcoal undercut hair, wearing a weathered tan trench coat with popped collar, holding a cracked digital flask with glowing blue rim, sharp shadows, high contrast.
3. Scene-Specific Prompt: The Rainy Alleyway
Medium shot, Jax standing in a dark rainy alleyway, neon lights reflecting on wet tan trench coat, water droplets on jagged scar over left eye, tight grip on cracked digital flask, moody noir lighting, volumetric fog.
4. Negative Consistency Constraints (Avoid List)
- Do not remove scar or move it to the right eye.
- Avoid changing coat color to black or grey.
- No clean-shaven face; maintain stubble.
- Do not smooth out the texture of the coat.
5. Consistency QA Checklist
- Face: Is the scar present over the left eye?
- Wardrobe: Is the coat tan and weathered?
- Props: Is the flask cracked with a blue glow?
- Lighting: Does the lighting maintain the high-contrast noir aesthetic?
Next steps
- Test the Master Prompt in your preferred generator (Midjourney/Runway) to calibrate the weight of the "jagged scar" token.
- Identify if Jax needs a "Costume Variant" for indoor scenes.
- Apply the Scene-Specific Prompt for the first shot of the alleyway sequence.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
AI video and image generators often suffer from "face drift" and wardrobe inconsistencies across scenes. Maintaining a stable character identity without a structured plan leads to unusable assets and broken continuity in filmmaking.
What it does
- Extracts stable visual attributes from scripts or reference images to build a canonical character bible.
- Generates Master Character Prompts and reusable consistency blocks for image/video models.
- Creates a Scene-to-Scene Continuity Ledger to track wardrobe, injuries, and emotional states.
- Produces a Consistency QA Checklist to audit generated frames for face, hair, and proportion drift.
- Flags High-Risk drift points where character identity is most likely to break during generation.
Why this beats prompting it yourself
Standard prompting relies on luck for consistency. This skill implements a systematic EXTRACT-LOCK-PLAN workflow that separates permanent identity traits from scene-variable actions. It ensures your prompt engineering remains grounded in a single source of truth rather than drifting with every new scene description.
Use cases
- Building a reusable visual profile for a recurring protagonist in an AI-generated short film.
- Planning wardrobe and prop transitions across a 10-scene narrative script.
- Converting a single character reference image into a detailed prompt-locking system.
- Auditing generated shots to identify and correct facial feature divergence.
Known limitations
Cannot guarantee 100% pixel-perfect identity across different AI models. Requires manual verification of generated outputs against the QA checklist.
Cannot guarantee perfect identity preservation across different models. Manual verification against the QA checklist is required to catch subtle drifts.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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