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Muapi Ugc Lifestyle Try On Agent Skill

Generate UGC-style (User Generated Content) lifestyle photos of a person wearing or using your product — authentic, relatable, social-media-native imagery.

946 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-ugc-lifestyle-try-on

The instruction itself

8 sections, as written by the author

UGC Lifestyle Try-On

Generate UGC-style (User Generated Content) lifestyle photos of a person wearing or using your product — authentic, relatable, social-media-native imagery.

Inputs

| Name | Type | Required | Default | Description |

|:---|:---|:---|:---|:---|

| product_name | text | yes | — | The product to feature (e.g. "white oversized hoodie", "blue light blocking glasses", "leather crossbody bag"). |

| product_image | image_url | yes | — | Product image or photo URL to use as reference for the try-on. |

| model_description | text | no | woman, 25-30 years old, natural look, diverse | Description of the model (e.g. "man, athletic build, 20s", "woman, curvy, 30s, warm skin tone"). |

| setting | text | no | casual lifestyle, natural lighting | Scene and mood (e.g. "urban street style", "cozy home morning routine", "gym workout", "coffee shop"). |

| platform | text | no | instagram | Target platform — "instagram", "tiktok", "pinterest", "amazon". |

Steps

Submit the plan with TWO steps:

Step 1 — Outfit/Product Try-On

  • Try-on generationmuapi image edit (model=ai-dress-change) if product is wearable clothing, otherwise muapi image edit (model=flux-kontext-pro-i2i):
  • For clothing/wearables with ai-dress-change:
  • Product: {{product_image}}
  • Prompt: {{model_description}} wearing the product naturally in a {{setting}} environment. Authentic UGC-style photo, candid pose, natural expression.
  • For accessories/non-clothing with flux-kontext-pro-i2i:
  • Prompt: {{model_description}} using/wearing {{product_name}} in a {{setting}}. The product from the reference image is clearly visible and featured. Natural UGC-style lifestyle photography, authentic candid feel.
  • Aspect ratio: 4:5 for Instagram, 9:16 for TikTok, 2:3 for Pinterest

Step 2 — UGC Lifestyle Variant

  • Lifestyle context shotmuapi image edit (model=gpt4o-edit) using the output from Step 1:
  • Prompt: Make this look like authentic UGC content — add realistic environment context for {{setting}}, adjust lighting to feel natural and unposed, subtle film grain, candid photography style. Keep product {{product_name}} clearly visible and well-lit.

After generation:

  • Present both the try-on and lifestyle variant
  • Offer to generate a 3-image carousel set with different poses/settings
  • Suggest adding a short UGC-style video with kling-v3.0-pro-image-to-video

Notes

  • UGC performs best when it looks "accidental" — avoid overly polished or symmetrical compositions.
  • For TikTok/Reels, suggest animating the best static shot into a video.
  • For Amazon, refer back to the amazon-product-listing skill for white-background variants.

Trigger Keywords

ugc, try on, lifestyle photo, model wearing, outfit photo, wear product, user generated, ugc content, lifestyle try on


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-ugc-lifestyle-try-on 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.