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muapi-product-ad-cinematic

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

Install / Use

npx skills add SamurAIGPT/Generative-Media-Skills --skill product-ad-cinematic

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

81/100

Supported Platforms

Universal

Our assessment of muapi-product-ad-cinematic

muapi-product-ad-cinematic scores 81/100 on our quality scale, 1319th of 2,569 Development & Engineering skills we index.

Its SKILL.md is 3.2 KB long, well organised into 8 sections and no code examples: a solid amount of guidance for an agent.

With 4,329 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
13/20
Description
12/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 18 days ago, so muapi-product-ad-cinematic is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

muapi-product-ad-cinematic compared with similar skills

All 4 of these similar skills score higher than muapi-product-ad-cinematic; compare them before choosing.

SkillScoreStarsUpdatedFormat
muapi-product-ad-cinematic (this skill)by SamurAIGPT814.3k18d agoSKILL.md
Agent-Reachby Panniantong10085.6k11d agoCLAUDE.md
headroomby headroomlabs-ai10073.9ktodayCLAUDE.md
ai-job-searchby MadsLorentzen10044.0k6d agoCLAUDE.md
claude-howtoby luongnv8910041.7ktodayCLAUDE.md

Frequently asked questions

How do I install muapi-product-ad-cinematic?
Run npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-product-ad-cinematic. The install tabs above show the steps for each supported agent.
Which AI agents does muapi-product-ad-cinematic work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is muapi-product-ad-cinematic safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is muapi-product-ad-cinematic still maintained?
The repository was last updated 18 days ago, so muapi-product-ad-cinematic is actively maintained.

slug: muapi-product-ad-cinematic name: 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:

  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 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:

  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.
  3. 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.
  4. 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.

Related Skills

View on GitHub
GitHub Stars4.3k
CategoryDevelopment
Updated18d ago
Forks496

Languages

Shell

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions