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SKILL verified MIT Self-run

Muapi Product Ad Cinematic

skill-samuraigpt-generative-media-skills-product-ad-cinematic · by SamurAIGPT

Cinematic 5–10s product ad from a product photo + brand brief.

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Install

$ agentstack add skill-samuraigpt-generative-media-skills-product-ad-cinematic

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

View the full security report →

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Reliability & compatibility

Security review passed
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3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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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:

  1. Hero frame variants — 4 separate muapi image generate nodes

(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_image if 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:

  1. Upscale the picked frame — enhance_image (operation=upscale).
  2. 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.

  1. Background musicmuapi 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.

  1. 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 muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is 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 with muapi 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.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.