Generative-Media-Skills is a toolkit that lets AI agents generate, edit, and display images, videos, and audio through the muapi command-line interface. It is for users of Claude Code, Cursor, Gemini CLI, and OpenCode who need multimodal media-generation workflows. The catalogue entries are the skills that expose these media capabilities to coding agents.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add SamurAIGPT/Generative-Media-Skills --skill cinema-directorgit clone --depth 1 https://github.com/SamurAIGPT/Generative-Media-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/samuraigpt/generative-media-skills/cinema-director)<a href="https://agentmods.dev/skills/samuraigpt/generative-media-skills/cinema-director"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/cinema-director/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/samuraigpt/generative-media-skills/cinema-director"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/cinema-director.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.01066 |
| Opus 5 | $0.00020 | $0.00533 |
| Sonnet 5 | $0.00008 | $0.00213 |
| Haiku 4.5 | $0.00004 | $0.00107 |
Grade A, and why
muapi-cinema-director scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to muapi-cinema-director — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🎬 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)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 94 lines · 40 tokens per session scan A 24a884942a0b
muapi-cinema-director is a skill published in the GitHub repository SamurAIGPT/Generative-Media-Skills (4,263 stars, last pushed 3d ago), licensed MIT. It adds 40 tokens to every session and 1,066 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to muapi-cinema-director, differing in 0 lines, and is treated as a copy.
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mlops-collaboration
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mlops-industrialization
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