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Muapi Product Ad Cinematic Agent Skill

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

818 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
3969
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/SamurAIGPT/Generative-Media-Skills --skill muapi-product-ad-cinematic

The instruction itself

8 sections, as written by the author

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 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

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 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.

  • 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/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <request_id>.
  • Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.

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How to use it

Copy the folder

Take samuraigpt/muapi-product-ad-cinematic from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.