Mmcp.market

muapi-ad-creative skill

by SamurAIGPT·SamurAIGPT/Generative-Media-Skills·4.3k stars·MIT

Generate a high-converting ad creative set — hero image, ad copy variations, and platform-optimized crops for Meta, Google Display, and LinkedIn.

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Install the muapi-ad-creative skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description. 

git clone --depth 1 https://github.com/SamurAIGPT/Generative-Media-Skills.git /tmp/Generative-Media-Skills
mkdir -p ~/.claude/skills
cp -r /tmp/Generative-Media-Skills/.opencode/skills/muapi-ad-creative ~/.claude/skills/muapi-ad-creative
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

Ad Creative Set

Generate a high-converting ad creative set — hero image, ad copy variations, and platform-optimized crops for Meta, Google Display, and LinkedIn.

Inputs

Steps

This skill has TWO phases. Phase A creates the hero concept for approval; Phase B fans out to platform formats.

Phase A — Hero image + Ad copy

Submit ONE the plan with:

  1. Hero image — muapi image generate (model=nano-banana-pro) or muapi image edit (model=nano-banana-pro-edit) if {{product_image}} is provided:
  • Aspect ratio: 1:1 (universal starting point).
  • Prompt must capture: product/service benefit, target audience lifestyle cue, campaign tone.
  • Style: {{tone}}, advertising photography, clean background, product focus, ultra detailed, commercial quality.
  • Tier: quality.

After the plan executes, present the hero asset and 3 ad copy variations:

Each variation includes: Headline (6 words max), Body (20–30 words), CTA button text.

  • Variation A — Problem-aware hook: "Tired of X? [Product] fixes that."
  • Variation B — Benefit-led: "[Feature] → [Outcome] for [Audience]."
  • Variation C — Social proof / urgency: "X teams already use [Product]."

Ask which copy variation to use for Phase B. Wait for user confirmation.

Phase B — Platform crops

Once the user picks a copy direction, submit a SECOND the plan with parallel crops:

  1. muapi image edit → 1:1 (Facebook/Instagram feed, 1080×1080)
  2. muapi image edit → 9:16 (Story/Reels, 1080×1920)
  3. muapi image edit → 1.91:1 (Facebook feed wide, 1200×628)
  4. muapi image edit → 1:1 (LinkedIn feed, same as FB)

For each crop:

  • Prompt: "Reframe for [platform] ad format. Keep product/subject centered and uncropped. Maintain original palette and tone. Leave headroom/footroom for text overlays."
  • All crops run in parallel.

Return one asset per format with the recommended copy overlay placement for each.

Notes

  • If campaign_goal is "conversion", emphasize urgency and direct CTA in copy.
  • If campaign_goal is "awareness", prioritize visual impact over text density.
  • Reference product_image via $nX.url syntax in Phase B nodes to ensure consistency.
  • Do NOT auto-confirm Phase B without user picking a copy variation.

Trigger Keywords

ad creative, advertisement, facebook ad, meta ad, google ad, linkedin ad, paid ad, ad banner, display ad

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 MUAPIAPIKEY 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: $MUAPIAPIKEY" -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.

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