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muapi-fashion-try-on

Virtually try on different outfits by combining a person's photo and a clothing item, then optionally generate a professional fashion model video.

Install / Use

npx skills add SamurAIGPT/Generative-Media-Skills --skill fashion-try-on

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

82/100

Supported Platforms

Universal

Our assessment of muapi-fashion-try-on

muapi-fashion-try-on scores 82/100 on our quality scale, 1723rd of 3,168 Development & Engineering skills we index.

Its SKILL.md is 2.9 KB long, split into 7 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
11/20
Description
15/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 19 days ago, so muapi-fashion-try-on 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.

Safety scan

Review

Our scan of the whole file found 1 pattern worth reviewing before you install muapi-fashion-try-on.

  • mediumSends the output of a local command to a remote serverline 60
    …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 'con…

Automated pattern scan on 2026-09-28. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

muapi-fashion-try-on compared with similar skills

All 4 of these similar skills score higher than muapi-fashion-try-on; compare them before choosing.

SkillScoreStarsUpdatedFormat
muapi-fashion-try-on (this skill)by SamurAIGPT824.3k19d agoSKILL.md
Agent-Reachby Panniantong10085.9k13d agoCLAUDE.md
headroomby headroomlabs-ai10074.0k1d agoCLAUDE.md
ai-job-searchby MadsLorentzen10044.3ktodayCLAUDE.md
claude-howtoby luongnv8910041.7k2d agoCLAUDE.md

Frequently asked questions

How do I install muapi-fashion-try-on?
Run npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-fashion-try-on. The install tabs above show the steps for each supported agent.
Which AI agents does muapi-fashion-try-on 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-fashion-try-on safe to use?
Our scan of the whole file found 1 pattern worth reviewing before you install muapi-fashion-try-on. 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-fashion-try-on still maintained?
The repository was last updated 19 days ago, so muapi-fashion-try-on is actively maintained.

slug: muapi-fashion-try-on name: muapi-fashion-try-on version: "1.0.0" description: Virtually try on different outfits by combining a person's photo and a clothing item, then optionally generate a professional fashion model video. acceptLicenseTerms: true

Fashion Try-On

Virtually try on different outfits by combining a person's photo and a clothing item, then optionally generate a professional fashion model video.

Inputs

| Name | Type | Required | Default | Description | |:---|:---|:---|:---|:---| | person_image | image_url | yes | — | A photo of the person or model who will try on the clothes. | | clothing_image | image_url | yes | — | A photo of the clothing item to try on. |

Steps

Phase A — Virtual Try-On

If {{person_image}} or {{clothing_image}} is not provided, ask the user to upload them.

Once both images are available, submit the plan with ONE step to perform the try-on:

  1. Fashion Try-On — muapi image edit (model=qwen-image-edit-2511):
    • Reference Images: Use both {{person_image}} and {{clothing_image}}.
    • Prompt: A high-quality fashion photograph of the person from the first reference image wearing the exact clothing item from the second reference image. The fit should be natural and realistic, maintaining the person's pose and the clothing's texture and patterns. Soft studio lighting, neutral background, professional fashion photography style.
    • Aspect ratio: 1:1 or 4:5

Present the resulting fashion photo to the user for approval.

Phase B — Fashion Video Generation (Optional)

After the image is generated, ask the user if they would like to create a professional fashion video of the model wearing the outfit.

If requested, submit the plan with ONE step:

  1. Fashion Video Generation — muapi video from-image (model=seedance-v1.5-pro-i2v-fast):
    • Reference Image: The try-on image generated in Phase A.
    • Prompt: Shot type of Three-Quarter Length Shot. [Push in] as model gracefully places hand on hip, shifts weight to one side, tilts head slightly with soft smile, and gently adjusts hair with fingertips, creating elegant movement and confidence.
    • Aspect ratio: 9:16 or 4:5

After generation, present the final fashion video.

Trigger Keywords

fashion try on, virtual fitting room, try on clothes, model fashion, clothing preview


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
Updated19d 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