muapi-cinema-director▌
samuraigpt/generative-media-skills · updated Jun 3, 2026
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A specialized skill for AI Agents to direct high-fidelity cinematic video.
- ›The Cinema Director skill translates high-level creative intent into technical cinematographic directives for state-of-the-art video models (Veo3, Kling, Luma).
🎬 AI Cinema Director Skill
A specialized skill for AI Agents to direct high-fidelity cinematic video. The Cinema Director skill translates high-level creative intent into technical cinematographic directives for state-of-the-art video models (Veo3, Kling, Luma).
Core Competencies
- Shot Composition Analysis: Mapping emotional beats to appropriate framing (e.g., Extreme Close-Up for intimacy, Wide Shot for isolation).
- Camera Movement Orchestration: Directing complex physical movements (Dolly, Truck, Crane) and lens-based effects (Rack Focus, Dolly Zoom).
- Lighting & Atmosphere Design: Specifying temporal and stylistic lighting (Golden Hour, Chiaroscuro, Volumetric God Rays).
- Technical Parameter Optimization: Automatically selecting optimal frame rates, aspect ratios, and model-specific biases.
🏗️ Technical Specification
1. Intent Mapping Table
| Creative Intent | Framing | Movement | Lighting |
|---|---|---|---|
| Heroic Reveal | Low Angle / Wide | Crane Up / Orbit | Rim Lighting / High Contrast |
| Tense/Uneasy | Dutch Angle | Handheld Shake | Low Key / Harsh Shadows |
| Introspective | Close-Up | Slow Push In | Soft Rembrandt / Window Light |
| Majestic/Epic | Extreme Wide | Drone Flyover | Golden Hour / Volumetric |
| Melancholic | Profile / Medium | Slow Pull Out | Blue Hour / Desaturated |
2. Physical Camera Movements
Dolly In/Out: Physical camera movement on a track toward/away from the subject.Truck Left/Right: Lateral physical movement.Crane/Jib: Sweeping vertical movement from a height.Orbit: Circular movement around a center point.Pedestal: Vertical elevation change (without tilting).
3. Lens & Optical Controls
Shallow DOF: Background blur (Bokeh).Anamorphic: Horizontal flares and wide-screen cinematic feel.Rack Focus: Shifting focus between planes within the shot.
🧠 Prompt Optimization Protocol (Agent Instruction)
Before calling the script, the Agent MUST expand the user's raw prompt using these Director's Rules:
- TECHNICAL INFUSION: Transform "cool action" into a technical shot.
- Formula:
[Shot Type] + [Subject/Action] + [Environment] + [Lighting] + [Camera Movement] + [Lens Effect]
- Formula:
- MOTION DYNAMICS: Use cinematic verbs: Dolly In (intimacy), Crane Up (majestic), Orbit (heroic), Truck (parallel motion).
- LIGHTING RECIPES: Apply specific illumination: Volumetric God Rays, Teal-and-Orange Grade, Cyberpunk Rim Lighting, Rembrandt Portrait Lighting.
- PHYSICS LOGIC: Describe light relationships (e.g., "Neon reflections shimmering on rain-slicked asphalt") to trigger model reasoning.
🚀 Protocol: Using the Cinema Director
Step 1: Define the Creative Brief
Provide the agent with a subject and a "Director's Intent."
Step 2: Invoke the Script
The generate-film.sh script accepts a --brief which it expands using its internal knowledge of cinematography.
# Directing a scene
bash scripts/generate-film.sh
--subject "A lone samurai in a blizzard"
--intent "epic reveal"
--model "kling-master"
Step 3: Handle the Async Response
Video generation is asynchronous. Use the returned request_id to poll for completion via core/platform/check-result.sh.
⚠️ Constraints & Guardrails
- Temporal Consistency: Avoid complex subject transformations in a single shot (e.g., "man turns into a bird").
- Movement Collisions: Do not combine contradictory movements (e.g., "Dolly In" and "Dolly Out" simultaneously).
- Physical Realism: Prefer movements possible with real-world equipment for a more professional "film" look.
- Model Bias:
Veo3: Best for slow, high-quality aesthetic shots.Kling: Best for complex character motion and physics.Luma: Best for fast-paced, high-action cinematic sequences.
⚙️ Implementation Details
This skill acts as an "Expert Translator" for the core/media/generate-video.sh primitive. It maintains a dictionary of cinematic styles and injects technical directives into the prompt before execution.
How to use muapi-cinema-director on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add muapi-cinema-director
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches muapi-cinema-director from GitHub repository samuraigpt/generative-media-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate muapi-cinema-director. Access the skill through slash commands (e.g., /muapi-cinema-director) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★48 reviews- ★★★★★Isabella Mehta· Dec 20, 2024
muapi-cinema-director reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Diya Verma· Dec 16, 2024
muapi-cinema-director has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Ishan Thompson· Nov 11, 2024
I recommend muapi-cinema-director for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Aanya Chawla· Nov 7, 2024
muapi-cinema-director fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Charlotte Li· Nov 3, 2024
Keeps context tight: muapi-cinema-director is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Diya Yang· Oct 26, 2024
We added muapi-cinema-director from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ishan Liu· Oct 22, 2024
muapi-cinema-director is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Charlotte Huang· Oct 2, 2024
Useful defaults in muapi-cinema-director — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Rahul Santra· Sep 25, 2024
muapi-cinema-director is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Yash Thakker· Sep 17, 2024
muapi-cinema-director has been reliable in day-to-day use. Documentation quality is above average for community skills.
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