gpt-taste
gpt taste
create-storyboard
Transform screenplay output from /create-story into animatics with camera framing, visual panels, and timing. Highly collaborative - the skill acts as a creative cinematographer, making suggestions and asking questions throughout the process. Integrates with /memory for learned techniques.
Full skill instructions
Transform screenplays into animatics through a collaborative creative dialogue.
Philosophy: The skill acts as your cinematographer - it doesn't just execute, it thinks with you. It makes suggestions, explains rationale, asks for your input, and learns from completed projects.
# Start a new storyboard session (will ask questions)
./run.sh start screenplay.md --json
# Continue with answers to questions
./run.sh continue --session <ID> --answers '{"camera_s1": "sounds good"}'
# Auto-approve all suggestions (non-collaborative mode)
./run.sh start screenplay.md --auto-approve
The skill operates in a question-answer loop with the calling agent:
┌─────────────────────────────────────────────────────────────┐
│ COLLABORATION LOOP │
├─────────────────────────────────────────────────────────────┤
│ │
│ 1. Agent calls: ./run.sh start screenplay.md --json │
│ ↓ │
│ 2. Skill returns: { │
│ status: "needs_input", │
│ suggestions: [ │
│ "For Scene 3 where Sarah confronts the villain, │
│ I'm thinking a Panaflex with low-key lighting │
│ would enhance the tension. A slow pan from her │
│ face to the window would build suspense. │
│ What do you think?" │
│ ], │
│ session_id: "storyboard-20260129-abc123" │
│ } │
│ ↓ │
│ 3. Agent/User reviews suggestions, provides feedback │
│ ↓ │
│ 4. Agent calls: ./run.sh continue --session ID --answers │
│ ↓ │
│ 5. Skill proceeds or asks more questions │
│ ↓ │
│ 6. Repeat until status: "complete" │
│ │
└─────────────────────────────────────────────────────────────┘
Instead of dry questions like "What emotion for Scene 3?", the skill offers filmmaker suggestions:
💡 Scene 3 - Camera Suggestion
"In Scene 3 where Sarah confronts the villain, I'm thinking we should use a slow push-in as the tension builds. It would really draw the audience into the character's anxiety."
Rationale: The cautious movement and sparse dialogue suggest building dread - a push-in amplifies this without words.
Alternatives: locked-off static for uncomfortable stillness, handheld for visceral unease
→ sounds good / prefer static / let's try handheld / suggest something else
The skill queries /memory to recall learned techniques:
# When screenplay references "Blade Runner 2049"
techniques = recall_film_reference("Blade Runner 2049")
# Returns learned techniques from /ingest-movie
# The skill incorporates this into suggestions:
"I see you've referenced 'Blade Runner 2049' for Scene 1.
From my memory of that film:
• 2049 Minimal Composition: Desolate, geometric framing...
• 2049 Hologram Lighting: Magenta/cyan holographic glow...
Should I apply these techniques?"
Memory scopes used:
horus-storyboarding - Storyboard-specific learningshorus-movies - Techniques from ingested filmsStart a new storyboard session.
./run.sh start screenplay.md [options]
Options:
--output-dir, -o Output directory (default: ./output)
--fidelity, -f Panel fidelity: sketch|reference (default: sketch)
--format Output format: mp4|html|panels (default: mp4)
--auto-approve, -y Skip all questions, use defaults
--json, -j Output structured JSON for agent consumption
Continue an existing session with answers.
./run.sh continue --session <ID> --answers '<JSON>' [options]
Options:
--search-dir Directory to search for session files
--json, -j Output structured JSON
Check status of an existing session.
./run.sh status --session <ID>
Run a demo with sample screenplay showing the collaboration loop.
./run.sh demo # Interactive with questions
./run.sh demo -y # Auto-approve, skip questions
./run.sh demo --json # JSON output for agents
| Format | Description | Use Case |
|---|---|---|
mp4 | Video animatic with timed panels | Preview timing, share with team |
html | Interactive gallery with navigation | Review, iterate, keyboard controls |
panels | Directory of PNG images | Custom assembly, integration |
| Level | Description | Speed |
|---|---|---|
sketch | Composition guides with shot codes | Fast |
reference | Stick figure placeholders | Medium |
generated | AI-generated images (requires /create-image) | Slow (not yet implemented) |
This skill is a sub-phase of /create-movie:
/create-movie workflow:
RESEARCH → SCRIPT → [STORYBOARD] → BUILD TOOLS → GENERATE → ASSEMBLE
↑
/create-storyboard
Takes screenplay output as input:
# After /create-story generates screenplay.md
./run.sh start /path/to/screenplay.md
Queries for learned filmmaking techniques:
from memory_bridge import recall_film_reference, learn_technique
# Recall techniques
techniques = recall_film_reference("The Godfather")
# Store new technique after project
learn_technique(
"Tension Push-In",
"Slow 10-second push-in during confrontation",
source="Project: Dark Horizon"
)
Techniques ingested via /ingest-movie become available for recall:
# Ingest a film's techniques
/ingest-movie "Blade Runner 2049"
# Later, /create-storyboard can recall:
"From my memory of Blade Runner 2049:
• Minimal Composition: Desolate, geometric framing..."
For agent consumption, use --json flag. Response format:
{
"status": "needs_input",
"phase": "camera_plan",
"session_id": "storyboard-20260129-abc123",
"questions": [
{
"id": "camera_s1",
"scene_number": 1,
"question_type": "creative_suggestion",
"question": "For Scene 1, I'm thinking a slow push-in...",
"options": ["sounds good", "prefer static", "suggest something else"],
"context": "The cautious movement suggests building dread..."
}
],
"partial_results": {
"total_shots": 5,
"total_duration": 21.5,
"shot_plan_file": "output/.../shot_plan.json"
},
"message": "Generated 5 shots. Please review my creative suggestions.",
"resume_command": "./run.sh continue --session ... --answers '<JSON>'"
}
Status values:
needs_input - Waiting for answers to proceedin_progress - Phase executing, will continuecomplete - All phases done, outputs readyerror - Something failedcreate-storyboard/
├── SKILL.md # This file
├── run.sh # Entry point
├── orchestrator.py # Main CLI with collaboration loop
├── screenplay_parser.py # Parse markdown/Fountain screenplays
├── camera_planner.py # Auto-select shots, estimate timing
├── panel_generator.py # Generate visual panels
├── animatic_assembler.py # Create MP4/HTML output
├── collaboration.py # Session state, questions, structured output
├── creative_suggestions.py # Natural language filmmaker suggestions
├── memory_bridge.py # /memory integration
├── shot_taxonomy.py # Camera shot definitions
└── sanity/ # Dependency verification
├── ffmpeg_concat.sh
├── pillow_composite.py
└── run_all.sh
$ ./run.sh start screenplay.md
============================================================
📊 Status: NEEDS_INPUT
📍 Phase: camera_plan
🔑 Session: storyboard-20260129-134523-a1b2c3
============================================================
🎬 CREATIVE SUGGESTIONS
Here's what I'm thinking for the visual approach:
### 1. Scene 1 - Camera Suggestion
💡 For Scene 1 in the APARTMENT, I'm thinking we should use a slow
push-in as the tension builds. It would really draw the audience
into the character's anxiety.
*Why*: The cautious movement and sparse dialogue suggest building
dread - a push-in amplifies this without words.
*Or*: locked-off static for uncomfortable stillness, handheld for
visceral unease
→ sounds good / prefer static / let's try handheld / suggest something else
### 2. Scene 1 - Reference Suggestion
💡 I see you've referenced 'Blade Runner 2049' for Scene 1. I could
search my memory for specific techniques from that film - the color
grading, the shot composition, the pacing. Should I pull those details?
*Why*: The reference to Blade Runner 2049 gives us a visual language
to draw from.
→ yes_search_memory / no_skip / skip_all_references
============================================================
Reply with your thoughts on each, or just say 'looks good' to proceed.
============================================================
▶️ To continue: ./run.sh continue --session storyboard-20260129-134523-a1b2c3 --answers '<JSON>'
| Code | Name | Description | Emotional Use |
|---|---|---|---|
| EWS | Extreme Wide | Full environment, tiny figure | Isolation, scale |
| WS | Wide Shot | Full body with environment | Establishing, action |
| FS | Full Shot | Head to toe | Physical performance |
| MWS | Medium Wide | Knees up | Dialogue with movement |
| MS | Medium Shot | Waist up | Standard dialogue |
| MCU | Medium Close-Up | Chest up | Emotional dialogue |
| CU | Close-Up | Face only | Key emotional moments |
| ECU | Extreme Close-Up | Detail (eyes, hands) | Climactic intimacy |
| OTS | Over-The-Shoulder | Conversation framing | Dialogue, presence |
| POV | Point of View | Character's perspective | Empathy, discovery |
Run sanity checks:
./sanity/run_all.sh
gpt taste
Premium brand-kit image generation for high-end identity systems, logo concepts, and visual-world presentations.
Premium website design-to-code skill that generates visual references first, then builds faithful frontend implementations.
Premium frontend image direction for landing pages and marketing sites, generating one distinct horizontal image per section.
Premium mobile app screen concepts and flows with clean hierarchy, strong imagery, and distinctive art direction.
Emil Kowalski's philosophy on UI polish, component design, and the invisible details that make software feel good.
Frontend design and iteration for production-grade interfaces, from concept to ship.
Reverse-engineer design tokens from public websites into starter token files for your project.
Builds an animation from scratch by making the decisions in the order that determines whether it feels right.
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
Chat-to-edit AI studio for product photos, portraits, branding, and video.
Generate your dream room in seconds.
Redesign your interior in seconds using AI
Transform rooms with AI-generated designs.
Transform Your Space with AI-Powered Japanese Interior Designs by Jife
AI-powered wireframes for non-designers.
Revolutionize Property Viewing with AI-Generated Floor Plans and Virtual Tours
Transform sketches into stunning architectural renders with AI.