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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
SKILL.md, read when the skill is used
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
3 969
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 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 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.