Muapi Social Pack

Social Media Pack

Re-render a hero image into Instagram, TikTok, YouTube-shorts and Twitter/X aspect ratios.

Inputs

| Name | Type | Required | Default | Description | |:---|:---|:---|:---|:---| | source_image | imageurl | yes | — | URL of the hero image (or assetid from this session). | | caption_idea | text | no | — | Optional caption / overlay direction (kept short). | | formats | list | no | 1:1, 9:16, 4:5, 16:9 | Aspect ratios to produce. |

Steps

Use the plan to fan out one node per format.

1. For each requested aspect ratio in {{formats}}:

• Call muapi image edit (model=nano-banana-2-edit) with the source image.
• Prompt: "Reframe the composition to {{aspect_ratio}} for social media.

Keep the subject centred and uncropped. Match the original lighting and palette. {{captionideahint}}".

• Where {{caption_idea_hint}} = "Leave headroom at the top for a

caption: ''." (only if caption_idea is non-empty).

1. All formats run in parallel (no inter-node dependencies).
2. Return one asset id per format, labelled with the platform it suits:

• 1:1 → Instagram feed
• 9:16 → TikTok / IG Reels / YT Shorts
• 4:5 → Instagram portrait
• 16:9 → Twitter / X / YouTube
• 21:9 → cinematic banner

Notes

• Don't generate fresh images — only reframe / re-edit the source.
• If the source already matches a format, skip that node and surface the

original asset id for it.

Trigger Keywords

social pack, resize for social, cross-post, multi-platform

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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.

• Author: SamurAIGPT
• Source: SamurAIGPT/Generative-Media-Skills
• License: MIT
• Homepage: https://muapi.ai?utmsource=github&utmmedium=about&utm_campaign=generative-media-skills

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