Agent Skills
› SamurAIGPT/Generative-Media-Skills
› muapi-product-ad-cinematic
muapi-product-ad-cinematic
GitHub基于产品图片和品牌简报，通过两阶段流程生成5-10秒电影感产品广告视频。先由用户挑选最佳画面，再执行高清化、动画生成及配乐合成，最终输出短视频成品。
触发场景
product ad
commercial
cinematic ad
product video
安装
npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-product-ad-cinematic -g -y
SKILL.md
Frontmatter
{
"name": "muapi-product-ad-cinematic",
"slug": "muapi-product-ad-cinematic",
"version": "1.0.0",
"description": "Cinematic 5–10s product ad from a product photo + brand brief.",
"acceptLicenseTerms": true
}
Cinematic Product Ad
Cinematic 5–10s product ad from a product photo + brand brief.
Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
product_image |
image_url | yes | — | URL of the product photo (must already be uploaded). |
brand_brief |
text | yes | — | Mood / style direction (e.g. "luxury minimal", "playful"). |
duration_sec |
int | no | 6 | Final video length in seconds (5–10). |
Steps
This skill has TWO phases separated by a user pick. Submit them as two separate the plan calls — never bundle downstream steps into the first plan.
Phase A — variant exploration (cheap)
Submit ONE the plan containing only:
- Hero frame variants — 4 separate
muapi image generatenodes (model=nano-banana-2, aspect_ratio=16:9 by default).- Each prompt restyles the product against the brand brief mood. Vary lighting, palette, framing, and lens between variants. Keep product geometry intact.
- Reference the user's
product_imageif the model supports image conditioning; otherwise describe the product in detail.
After the plan executes, end your turn with a brief message listing the 4 asset_ids and asking the user which one to take forward (e.g. "Pick a hero (asset_1, asset_2, asset_3, or asset_4)?"). Wait.
Phase B — commit on the picked hero (expensive)
Once the user replies with their pick, submit a SECOND the plan:
- Upscale the picked frame —
enhance_image(operation=upscale). - Animate the upscaled frame —
muapi video from-image(model=kling-v3.0-standard-image-to-video, duration={{duration_sec}}, prompt="slow cinematic push-in, soft volumetric light, subtle product micro-rotation"). Reference the upscale's URL with$nX.url. - Background music —
muapi audio create(kind=music) — runs in parallel with the upscale/animate. Style derived frombrand_brief(luxury → "ambient cinematic, warm strings, slow tempo, instrumental"). Duration ≈ video length. - Return the upscaled hero image and the final video.
Notes
- If the brief mentions "luxury", bias the palette to gold/black; for "playful", bias to bright/saturated.
- If video gen fails after failover, fall back to a still-frame slideshow (just return the upscaled hero + music).
- Don't auto-confirm step 4 — its cost (~80 cr) deserves a user nod.
Trigger Keywords
product ad, commercial, cinematic ad, product video
Notes for the Executing Agent
- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call
muapiCLI commands. Usemuapi auth configurefirst ifMUAPI_API_KEYis unset. - For model IDs without a CLI alias yet, fall back to the raw endpoint via
curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'and poll withmuapi predict wait <request_id>. - Substitute
{{input_name}}placeholders with the user's actual inputs before issuing each call.
版本历史
- d4ce293 当前 2026-07-25 11:20
