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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/SamurAIGPT/Generative-Media-Skillsnpx agentmods add skills/samuraigpt/generative-media-skills/seedance-2Wrote 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/seedance-2)<a href="https://agentmods.dev/skills/samuraigpt/generative-media-skills/seedance-2"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/seedance-2/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/seedance-2"><img src="https://agentmods.dev/badge/skills/samuraigpt/generative-media-skills/seedance-2.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 | $0.00067 | $0.07060 |
| Opus 5 | $0.00034 | $0.03530 |
| Sonnet 5 | $0.00013 | $0.01412 |
| Haiku 4.5 | $0.00007 | $0.00706 |
Grade A, and why
muapi-seedance-2 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 12d 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-seedance-2 — 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 — 633 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🎬 Seedance 2.0 Cinema Expert
The definitive skill for "Director-Level" AI video orchestration. Seedance 2.0 is not a descriptive model; it is an instructional model. It responds best to technical cinematography, physics directives, and precise camera grammar.
Core Competencies
- Text-to-Video (t2v): Generate cinematic video from a Director Brief — Chinese, Global, or VIP tier.
- Image-to-Video (i2v): Animate 1–9 reference images — Chinese, Global (smart mode), or VIP tier.
- Video Extension (extend): Seamlessly continue an existing Seedance 2.0 video (Chinese tier).
- First & Last Frame (first-last): Interpolate a fluid video between a start image and end image (Global/VIP).
- Omni Reference (omni): Full multimodal reference with images + audio + character refs (all tiers).
- Omni Reference Training (omni-train): Train a custom persistent character for identity-consistent generation.
- Character Sheet (character): Build a reusable character from 1–3 images (Chinese tier).
- Video Edit (video-edit): Edit an existing video with a prompt + optional reference images (Chinese tier).
- Watermark Removal (watermark-remove): Strip Seedance 2.0 watermarks (basic or Pro).
🏷️ Tiers
| Tier | Flag | Censorship | Aspect Ratios | Duration | Quality param |
|---|---|---|---|---|---|
| Chinese (default) | --tier chinese |
Low | 16:9, 9:16, 4:3, 3:4 | 5 / 10 / 15 s | Yes (basic/high) |
| Global | --tier global |
Standard | + 21:9, 1:1 | Any 4–15 s | No |
| VIP | --tier vip |
Low | + 21:9, 1:1 | Any 4–15 s | No |
Add --fast to any Global or VIP call to use the fast-queue variant (lower latency, same quality).
📥 Input Limits
| Input Type | Chinese i2v/omni | Global/VIP i2v/omni | Formats | Max Size |
|---|---|---|---|---|
| Images | ≤ 9 | ≤ 9 | jpeg, png, webp | 30 MB each |
| Videos | ≤ 3 (omni only) | Not supported | mp4, mov | 50 MB each |
| Audio | ≤ 3 | ≤ 3 | mp3, wav | 15 MB each |
| First-Last | — | 1–2 images | jpeg, png, webp | 30 MB each |
| Video Edit | 1 video + ≤ 9 imgs | — | mp4 ≤ 10 MB / 15s | — |
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.
- 12d ago First seen · 633 lines · 67 tokens per session scan A 21e344f0ac69
muapi-seedance-2 is a skill published in the GitHub repository SamurAIGPT/Generative-Media-Skills (4,263 stars, last pushed 3d ago), licensed MIT. It adds 67 tokens to every session and 7,060 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to muapi-seedance-2, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
muapi-director
Turn ONE topic, talking-head video, or photo into a finished Vox-style paper-collage explainer / ad video on the MuAPI platform (api.muapi.ai) + local ffmpeg — script, collage keyframes, motion, voice-over, music, captions, all automated. Three input modalities: a topic (B-roll), a talking-head video (A-roll mode), or…
deapi
AI media generation via deAPI. Transcribe YouTube/audio/video, generate images from text, text-to-speech, OCR, remove backgrounds, upscale images, create videos, generate embeddings. 10-20x cheaper than OpenAI/Replicate.
wechat-article-writer
A Chinese-language content-creation workflow for public-account and social-media writing. It supports article drafting, cover images, illustrations, process diagrams, style analysis, and adapting writing to selected styles.
gemini-watermark-remover
Remove visible Gemini image watermarks from local image files by calling the project's CLI. Use when the user wants an agent to clean one or more local Gemini-generated images and save de-watermarked output files.
remotion-upgrade
Upgrade Remotion, and related packages.
infographic-creator
Create beautiful infographics based on given text content. Use when users request to create infographics.