Ai Storyboard 2x2 logo

Ai Storyboard 2x2

Organization
NVlabs
ai-storyboard-2x2

Créez des storyboards visuellement cohérents en utilisant la technique des 2x2 Grid Shots de PJ Ace, garantissant éclairage, personnages et décors uniformes entre les plans. Use when: **Après avoir finalisé un script vidéo** - Transformer le concept en visuels; **Besoin de cohérence visuelle** - Personnages et éclairage constants entre les plans; **Préparer des assets pour animation** - Frames prêtes pour Veo, Runway, Kling; **Présenter un storyboard client** - Visualisation avant production;...

Overview

PublisherNVlabs
RepositorySkill2Env
Skill nameai-storyboard-2x2
Stars
189
Forks
18
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by NVlabs on GitHub. Read the source before you install it.

Installation

Install the Ai Storyboard 2x2 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/NVlabs/Skill2Env/tree/main/SkillHub/skills/ai-storyboard-2x2
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/NVlabs/Skill2Env.git /tmp/Skill2Env
mkdir -p .claude/skills
cp -r /tmp/Skill2Env/SkillHub/skills/ai-storyboard-2x2 .claude/skills/ai-storyboard-2x2
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ai Storyboard 2x2 in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ai Storyboard 2x2 on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ai Storyboard 2x2 is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AI Storyboard 2x2

Créez des storyboards visuellement cohérents en utilisant la technique des 2x2 Grid Shots de PJ Ace, garantissant éclairage, personnages et décors uniformes entre les plans.

When to Use This Skill

  • Après avoir finalisé un script vidéo - Transformer le concept en visuels
  • Besoin de cohérence visuelle - Personnages et éclairage constants entre les plans
  • Préparer des assets pour animation - Frames prêtes pour Veo, Runway, Kling
  • Présenter un storyboard client - Visualisation avant production
  • Planifier des transitions fluides - Séquencer les plans wide → closeup

Methodology Foundation

Source: PJ Ace - AI Video Production Workflow (2025-2026)

Core Principle: "En générant 4 images dans un grid 2x2, le modèle maintient automatiquement la cohérence d'éclairage, de personnage et de lieu entre les shots. Vous obtenez une séquence cinématique au lieu de 4 images disparates."

Why This Matters: Les modèles de génération d'images traitent chaque prompt indépendamment. En demandant un grid 2x2, vous forcez le modèle à créer une scène cohérente sous 4 angles différents, résolvant le problème majeur de l'incohérence visuelle.

What Claude Does vs What You Decide

Claude DoesYou Decide
Structures production workflowFinal creative direction
Suggests technical approachesEquipment and tool choices
Creates templates and checklistsQuality standards
Identifies best practicesBrand/voice decisions
Generates script outlinesFinal script approval

What This Skill Does

  1. Génère des prompts 2x2 grid - Structure optimale pour la cohérence
  2. Organise le layout séquentiel - Ordre des plans dans Figma
  3. Guide le cropping et upscaling - Extraire les frames individuelles
  4. Planifie les transitions - Wide → Closeup pour masquer les cuts
  5. Prépare le handoff animation - Frames prêtes pour la génération vidéo

How to Use

Créer un storyboard depuis un script

J'ai ce script structuré: [coller script]. Aide-moi à créer le storyboard avec la technique 2x2 grid.

Générer des prompts pour une scène spécifique

Je dois visualiser cette scène: [description]. Génère-moi le prompt 2x2 grid et explique comment l'utiliser.

Planifier une séquence d'action

J'ai une séquence d'action: [description mouvement]. Crée les 4 frames du grid pour capturer le mouvement.

Instructions

Step 1: Analyser le script et identifier les scènes clés

## Analyse Scène par Scène

**Script source:** [Référence au script]

| Scène | Durée | Type de plan | Éléments clés | Grids nécessaires |
|-------|-------|--------------|---------------|-------------------|
| 1 | 8s | Establishing | Personnage + Décor | 1 grid (4 angles) |
| 2 | 8s | Action | Mouvement | 1-2 grids |
| 3 | 8s | Dialogue | 2 personnages | 1 grid par perso |
| 4 | 8s | Product shot | Produit + Logo | 1 grid |

**Total grids estimés:** [X]

Règles d'estimation:

  • 1 grid = 4 shots d'une même scène
  • Scène simple = 1 grid
  • Scène avec mouvement = 2 grids (début/fin)
  • Scène avec plusieurs personnages = 1 grid par personnage

Step 2: Créer les prompts 2x2 Grid

Le format de prompt clé:

## Prompt Template 2x2 Grid

Create a 2x2 grid shot from [STYLE] film.

Top-left: [SHOT 1 - Usually establishing/wide]
Top-right: [SHOT 2 - Medium shot or different angle]
Bottom-left: [SHOT 3 - Close-up or action]
Bottom-right: [SHOT 4 - Detail or reaction]

Scene description: [CONTEXT GLOBAL]
Lighting: [ÉCLAIRAGE]
Color palette: [COULEURS]
Camera style: [STYLE CAMÉRA]

Exemple concret:

Create a 2x2 grid shot from a premium Nike-style commercial.

Top-left: Wide shot of a modern minimalist office, morning light through large windows, a confident woman in her 30s standing by the desk
Top-right: Medium shot of the same woman, side profile, looking at laptop screen
Bottom-left: Close-up of her hands on keyboard (avoid finger details, focus on gesture)
Bottom-right: Over-the-shoulder shot showing the screen with abstract productivity graphics

Scene: Professional woman starting her productive morning routine
Lighting: Golden hour morning light, soft shadows, rim light from windows
Color palette: Warm neutrals, touches of blue from screen
Camera style: Cinematic, shallow depth of field, 35mm lens look

Step 3: Organiser le layout Figma

## Layout Storyboard

### Structure recommandée

┌─────────────────────────────────────────────────────────────┐
│ SCÈNE 1: [Nom]                                              │
├─────────────┬─────────────┬─────────────┬─────────────┬─────┤
│  Shot 1.1   │  Shot 1.2   │  Shot 1.3   │  Shot 1.4   │ VO  │
│  [Wide]     │  [Medium]   │  [Close]    │  [Detail]   │[txt]│
│  0:00-0:02  │  0:02-0:04  │  0:04-0:06  │  0:06-0:08  │     │
├─────────────┴─────────────┴─────────────┴─────────────┴─────┤
│ SCÈNE 2: [Nom]                                              │
├─────────────┬─────────────┬─────────────┬─────────────┬─────┤
│  Shot 2.1   │  Shot 2.2   │  Shot 2.3   │  Shot 2.4   │ VO  │
│  ...        │  ...        │  ...        │  ...        │[txt]│
└─────────────┴─────────────┴─────────────┴─────────────┴─────┘

### Colonnes
- Frame (image)
- Timing
- Type de plan (W/M/CU/D)
- Notes techniques
- Voiceover

Tips Figma:

  • Utiliser des frames de 1920x1080 ou 1080x1920 selon format
  • Nommer les layers: S01-Shot01-Wide
  • Grouper par scène
  • Ajouter des annotations pour les transitions

Step 4: Extraire et upscaler les frames

## Workflow d'extraction

### Depuis le 2x2 grid:

1. **Cropper** chaque quadrant individuellement
   - Top-left → Shot_01.png
   - Top-right → Shot_02.png
   - Bottom-left → Shot_03.png
   - Bottom-right → Shot_04.png

2. **Upscaler** chaque frame

   Prompt d'upscale (dans ChatGPT/Ideogram):

Upscale this image to high resolution, maintaining all details. Add subtle film grain for cinematic quality. Enhance sharpness while keeping natural look. Output: 1920x1080 or higher


3. **Vérifier la cohérence**
- Éclairage identique?
- Personnage reconnaissable?
- Palette de couleurs consistante?
- Si non → re-générer le grid

Step 5: Planifier les transitions

## Règles de Transition

### DO: Transitions qui fonctionnent
| Transition | Exemple | Pourquoi ça marche |
|------------|---------|-------------------|
| Wide → Closeup | Establishing → Face | Cache les incohérences de mouvement |
| Closeup → Wide | Detail → Context | Révèle l'environnement |
| Same angle, action continue | Running frame 1 → 2 | Mouvement fluide si même grid |
| Cut on action | Bras levé → Bras en haut | Le mouvement masque le cut |

### DON'T: Transitions problématiques
| Transition | Problème | Solution |
|------------|----------|----------|
| Wide → Wide même scène | Jump cut visible | Insérer un closeup entre |
| 2 personnages face-à-face | Dialogue difficile | Alterner champ/contre-champ |
| Mouvement continu long | Incohérence | Couper en segments de 4-8s |

### Technique de continuité
Pour lier deux clips:
1. Prendre la **dernière frame** du clip A
2. L'utiliser comme **première frame** du clip B (image-to-video)
3. Ou l'upscaler et créer un closeup pour la transition

Step 6: Output final - Storyboard complet

## Storyboard Final: [Titre]

**Projet:** [Nom]
**Durée:** [X] secondes
**Grids générés:** [Y]
**Frames totales:** [Z]

---

### Séquence Complète

| # | Frame | Timing | Type | Prompt utilisé | Transition vers |
|---|-------|--------|------|----------------|-----------------|
| 1 | [thumb] | 0:00-0:02 | Wide | Grid1-TL | Cut to #2 |
| 2 | [thumb] | 0:02-0:04 | Medium | Grid1-TR | Dissolve to #3 |
| 3 | [thumb] | 0:04-0:06 | CU | Grid1-BL | Cut on action to #4 |
| ... | ... | ... | ... | ... | ... |

---

### Assets générés

📁 Storyboard_[Projet]/
├── grids/
│   ├── grid_scene01.png
│   ├── grid_scene02.png
│   └── ...
├── frames/
│   ├── S01_shot01_wide.png
│   ├── S01_shot02_medium.png
│   └── ...
├── upscaled/
│   ├── S01_shot01_wide_4k.png
│   └── ...
└── layout/
    └── storyboard_figma.fig

---

**Prêt pour:** ai-video-prompting (animation)

Examples

Example 1: Séquence produit e-commerce

Context: Storyboard pour une pub de sneakers, style dynamique

Input:

J'ai une scène de 8 secondes: un runner urbain qui court dans la rue au lever du soleil, portant nos nouvelles sneakers. Crée le grid 2x2.

Output:

Grid Prompt: Urban Runner Scene

Create a 2x2 grid shot from a Nike-style athletic commercial.

Top-left: Wide shot of empty urban street at sunrise, golden light,
modern architecture, a male runner (30s, athletic build, black running
outfit) approaching from distance

Top-right: Medium tracking shot of the same runner mid-stride,
side profile, sneakers visible, motion blur on background,
determination on face

Bottom-left: Low angle close-up of the sneakers hitting pavement,
dynamic splash if wet ground, focus on shoe design and movement

Bottom-right: Front-facing medium shot of runner, morning sun
behind creating rim light, confident expression, urban skyline
in soft focus background

Scene: Athletic morning run through city streets
Lighting: Golden hour sunrise, long shadows, warm tones with
cool shadows
Color palette: Orange/gold highlights, blue shadows,
neutral grays of urban environment
Camera style: Cinematic, anamorphic lens flare,
high frame rate feel frozen in stills

Extraction Plan

PositionNom fichierUsageDurée suggérée
Top-leftrunner_wide_approach.pngEstablishing shot2s
Top-rightrunner_medium_profile.pngBuild energy2s
Bottom-leftsneaker_closeup_action.pngProduct focus2s
Bottom-rightrunner_hero_frontface.pngEmotional payoff2s

Transition Notes

  • Wide → Medium: Cut naturel, même direction de mouvement
  • Medium → Closeup sneaker: Cut on footstrike (action)
  • Closeup → Hero front: Jump emotionnel, acceptable car produit → visage

Why this works: Les 4 shots partagent le même éclairage (sunrise), le même personnage, et racontent une micro-histoire en 4 beats. Le closeup sneaker (bottom-left) est stratégiquement placé pour le focus produit.


Example 2: Séquence narrative avec transformation

Context: Scène "avant/après" pour un produit de productivité

Input:

Je dois montrer une transformation: bureau chaotique → bureau organisé après utilisation de notre app. Crée 2 grids (avant et après).

Output:

Grid 1: "Before" - Chaos

Create a 2x2 grid shot from a comedy-drama office scene.

Top-left: Wide shot of messy home office, papers everywhere,
multiple coffee cups, stressed person (woman, 30s, tired expression)
at cluttered desk, harsh overhead lighting

Top-right: Medium shot of the same woman, head in hands,
laptop showing 47 browser tabs, notification badges everywhere

Bottom-left: Close-up of desk surface chaos - sticky notes overlapping,
tangled cables, cold coffee, crumpled papers

Bottom-right: Over-shoulder shot of laptop screen showing
overwhelming to-do list, calendar with conflicts,
red notification badges

Scene: Overwhelming work-from-home chaos moment
Lighting: Harsh fluorescent overhead, unflattering,
slight greenish tint
Color palette: Desaturated, muddy colors,
visual noise and clutter
Camera style: Handheld feel, slightly tilted,
documentary/mockumentary style

Grid 2: "After" - Harmony

Create a 2x2 grid shot from a premium Apple-style commercial.

Top-left: Wide shot of the same home office, now minimalist and
organized, warm morning light, the same woman (now relaxed,
slight smile) at clean desk with single monitor

Top-right: Medium shot of her confidently working,
good posture, peaceful expression, plant in background

Bottom-left: Close-up of clean desk surface -
single notebook, quality pen, artisan coffee in nice mug,
laptop with clean interface

Bottom-right: Over-shoulder shot of laptop screen showing
clean task management interface (our app),
clear priorities, green checkmarks

Scene: Productive, peaceful work-from-home flow state
Lighting: Warm golden hour light from window,
soft and flattering
Color palette: Warm whites, soft greens,
touches of wood and natural materials
Camera style: Smooth, stable,
premium commercial cinematography

Storyboard Layout

BEFORE SEQUENCE (0:00 - 0:08)
┌─────────────┬─────────────┬─────────────┬─────────────┐
│ G1-Wide     │ G1-Medium   │ G1-CU desk  │ G1-Screen   │
│ Chaos room  │ Stressed    │ Messy       │ Overwhelm   │
│ 0:00-0:02   │ 0:02-0:04   │ 0:04-0:06   │ 0:06-0:08   │
└─────────────┴─────────────┴─────────────┴─────────────┘
           ↓ TRANSITION: Match cut on screen → app interface

AFTER SEQUENCE (0:08 - 0:16)
┌─────────────┬─────────────┬─────────────┬─────────────┐
│ G2-Screen   │ G2-CU desk  │ G2-Medium   │ G2-Wide     │
│ Clean app   │ Organized   │ Confident   │ Zen room    │
│ 0:08-0:10   │ 0:10-0:12   │ 0:12-0:14   │ 0:14-0:16   │
└─────────────┴─────────────┴─────────────┴─────────────┘

Transition Strategy

DeVersTechniquePourquoi
G1-Screen (chaos)G2-Screen (clean)Match cutMême cadrage, transformation visible
G2-ScreenG2-CU deskZoom outRévèle l'environnement transformé
G2-MediumG2-WidePull backPayoff émotionnel, satisfaction

Why this works: Les deux grids sont construits en miroir inversé (chaos→ordre). La transition match-cut sur l'écran crée un moment "magie" de transformation. L'ordre des plans After est inversé (screen→wide) pour créer un crescendo de révélation.


Checklists & Templates

Checklist Storyboard 2x2

## Validation Storyboard

### Par Grid
- [ ] 4 shots cohérents (éclairage, couleur, personnage)
- [ ] Variété de plans (wide, medium, CU, detail)
- [ ] Prompt inclut: scène, lighting, palette, camera style
- [ ] Personnage reconnaissable dans tous les shots

### Par Séquence
- [ ] Transitions planifiées (pas de wide→wide)
- [ ] Timing assigné à chaque frame
- [ ] Voiceover aligné avec les visuels
- [ ] Direction de mouvement cohérente

### Assets
- [ ] Grids sauvegardés en haute résolution
- [ ] Frames individuelles croppées
- [ ] Frames upscalées pour animation
- [ ] Layout Figma organisé

### Prêt pour animation
- [ ] Frames nommées clairement (S01_shot01_wide.png)
- [ ] Notes de transition documentées
- [ ] Durées définies
- [ ] Handoff vers ai-video-prompting

Template Prompt 2x2

## 2x2 Grid Prompt

Create a 2x2 grid shot from [GENRE/STYLE] [TYPE: film/commercial/etc].

Top-left: [SHOT TYPE] of [SUBJECT], [ACTION], [KEY DETAILS]

Top-right: [SHOT TYPE] of [SUBJECT], [ANGLE CHANGE], [CONTINUITY ELEMENT]

Bottom-left: [SHOT TYPE] [FOCUS AREA], [DETAIL TO HIGHLIGHT]

Bottom-right: [SHOT TYPE] [EMOTIONAL BEAT], [PAYOFF VISUAL]

Scene: [OVERALL CONTEXT - 1 sentence]
Lighting: [LIGHT SOURCE, QUALITY, DIRECTION]
Color palette: [DOMINANT COLORS, MOOD]
Camera style: [LENS, MOVEMENT STYLE, FILM LOOK]

Types de Plans (Référence)

## Shot Types pour Prompts

| Abbr | Nom | Description | Usage |
|------|-----|-------------|-------|
| EWS | Extreme Wide | Paysage, contexte | Establishing |
| WS | Wide Shot | Personnage entier + environnement | Context |
| MWS | Medium Wide | Personnage genoux-up | Action |
| MS | Medium Shot | Taille-up | Dialogue |
| MCU | Medium Close-up | Poitrine-up | Émotion |
| CU | Close-up | Visage | Intensité |
| ECU | Extreme Close-up | Détail (œil, objet) | Emphasis |
| OTS | Over-the-Shoulder | Par-dessus épaule | Dialogue |
| POV | Point of View | Vue subjective | Immersion |
| Insert | Insert/Cutaway | Détail objet | Information |

Skill Boundaries

What This Skill Does Well

  • Structuring audio production workflows
  • Providing technical guidance
  • Creating quality checklists
  • Suggesting creative approaches

What This Skill Cannot Do

  • Replace audio engineering expertise
  • Make subjective creative decisions
  • Access or edit audio files directly
  • Guarantee commercial success

References

  • PJ Ace. "233M Views in 3 Days: The David Beckham AI Workflow" - Marketing Against the Grain (2026)
  • MKTG Skills - Étude Écosystème Vidéo IA
  • Block, Bruce. "The Visual Story" - Visual structure principles
  • Katz, Steven D. "Film Directing Shot by Shot" - Storyboarding techniques

Related Skills


Skill Metadata

  • Mode: cyborg
yaml
name: ai-storyboard-2x2
category: video
subcategory: pre-production
version: 1.0
author: MKTG Skills
source_expert: PJ Ace
source_work: AI Video Production Workflow
difficulty: intermediate
estimated_value: $1000-3000 (storyboard development)
tags: [video, ai, storyboard, visual, 2x2-grid, figma, production]
created: 2026-01-25
updated: 2026-01-25

Frequently asked questions

What does the Ai Storyboard 2x2 AI skill do?

Créez des storyboards visuellement cohérents en utilisant la technique des 2x2 Grid Shots de PJ Ace, garantissant éclairage, personnages et décors uniformes entre les plans. Use when: **Après avoir finalisé un script vidéo** - Transformer le concept en visuels; **Besoin de cohérence visuelle** - Personnages et éclairage constants entre les plans; **Préparer des assets pour animation** - Frames prêtes pour Veo, Runway, Kling; **Présenter un storyboard client** - Visualisation avant production;...

Why use Ai Storyboard 2x2 on TypingMind?

Because you install it once and use it with any model. Ai Storyboard 2x2 is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ai Storyboard 2x2 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NVlabs/Skill2Env/tree/main/SkillHub/skills/ai-storyboard-2x2. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ai Storyboard 2x2?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ai Storyboard 2x2?

As many as you like. As long as a model supports skills, you can use Ai Storyboard 2x2 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ai Storyboard 2x2 AI skill free?

Yes. It is published on GitHub by NVlabs under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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