Install
$ agentstack add skill-samuraigpt-generative-media-skills-product-ad-cinematic ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
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 assetids and asking the user which one to take forward (e.g. "Pick a hero (asset1, asset2, asset3, 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 from brand_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/ -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'and poll withmuapi predict wait. - Substitute
{{input_name}}placeholders with the user's actual inputs before issuing each call.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: SamurAIGPT
- Source: SamurAIGPT/Generative-Media-Skills
- License: MIT
- Homepage: https://muapi.ai?utmsource=github&utmmedium=about&utm_campaign=generative-media-skills
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.