[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MDKW65PFZSWW8T8MHPVRMA":3,"skill-same:01M6MDKW65PFZSWW8T8MHPVRMA":63},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":40,"commitSha":41,"skillDirectory":42,"forksCount":43,"repositoryHtmlUrl":44,"repositoryHomepageUrl":45,"ownerHtmlUrl":46,"ownerBlogUrl":47,"ownerDescription":48,"updatedAt":49,"install":50,"resources":62},"01M6MDKW65PFZSWW8T8MHPVRMA","muapi-fashion-try-on",null,"Virtually try on different outfits by combining a person's photo and a clothing item, then optionally generate a professional fashion model video.","hashgraph-online\u002Fawesome-codex-plugins","hashgraph-online","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F160371962?v=4","01M6CNB6NRJVNNGN14TR01Q6D3","HOL (Hashgraph Online)","01M6JT1HSKKG9V68KQAQGBA7XP",1554,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002FSamurAIGPT\u002FGenerative-Media-Skills\u002Flibrary\u002Fvisual\u002Ffashion-try-on\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32],"fashion","muapi","muapi fashion try on","generate","Video","model","professional","true","person","2026-11-10 10:12:30",false,"---\nslug: muapi-fashion-try-on\nname: muapi-fashion-try-on\nversion: \"1.0.0\"\ndescription: Virtually try on different outfits by combining a person's photo and a clothing item, then optionally generate a professional fashion model video.\nacceptLicenseTerms: true\n---\n\n\n# Fashion Try-On\n\n**Virtually try on different outfits by combining a person's photo and a clothing item, then optionally generate a professional fashion model video.**\n\n## Inputs\n\n| Name | Type | Required | Default | Description |\n|:---|:---|:---|:---|:---|\n| `person_image` | image_url | yes | — | A photo of the person or model who will try on the clothes. |\n| `clothing_image` | image_url | yes | — | A photo of the clothing item to try on. |\n\n\n## Steps\n\n### Phase A — Virtual Try-On\n\nIf `{{person_image}}` or `{{clothing_image}}` is not provided, ask the user to upload them.\n\nOnce both images are available, submit the plan with ONE step to perform the try-on:\n\n1. **Fashion Try-On** — `muapi image edit` (model=`qwen-image-edit-2511`):\n   - Reference Images: Use both `{{person_image}}` and `{{clothing_image}}`.\n   - 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.`\n   - Aspect ratio: 1:1 or 4:5\n\nPresent the resulting fashion photo to the user for approval.\n\n### Phase B — Fashion Video Generation (Optional)\n\nAfter the image is generated, ask the user if they would like to create a professional fashion video of the model wearing the outfit.\n\nIf requested, submit the plan with ONE step:\n\n1. **Fashion Video Generation** — `muapi video from-image` (model=`seedance-v1.5-pro-i2v-fast`):\n   - Reference Image: The try-on image generated in Phase A.\n   - 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.`\n   - Aspect ratio: 9:16 or 4:5\n\nAfter generation, present the final fashion video.\n\n## Trigger Keywords\n\n`fashion try on`, `virtual fitting room`, `try on clothes`, `model fashion`, `clothing preview`\n\n\n---\n\n## Notes for the Executing Agent\n\n- 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.\n- For model IDs without a CLI alias yet, fall back to the raw endpoint via `curl -X POST https:\u002F\u002Fapi.muapi.ai\u002Fapi\u002Fv1\u002F\u003Cendpoint> -H \"x-api-key: $MUAPI_API_KEY\" -H 'content-type: application\u002Fjson' -d '{...}'` and poll with `muapi predict wait \u003Crequest_id>`.\n- Substitute `{{input_name}}` placeholders with the user's actual inputs before issuing each call.\n","# Fashion Try-On\n\n**Virtually try on different outfits by combining a person's photo and a clothing item, then optionally generate a professional fashion model video.**\n\n## Inputs\n\n| Name | Type | Required | Default | Description |\n|:---|:---|:---|:---|:---|\n| `person_image` | image_url | yes | — | A photo of the person or model who will try on the clothes. |\n| `clothing_image` | image_url | yes | — | A photo of the clothing item to try on. |\n\n\n## Steps\n\n### Phase A — Virtual Try-On\n\nIf `{{person_image}}` or `{{clothing_image}}` is not provided, ask the user to upload them.\n\nOnce both images are available, submit the plan with ONE step to perform the try-on:\n\n1. **Fashion Try-On** — `muapi image edit` (model=`qwen-image-edit-2511`):\n   - Reference Images: Use both `{{person_image}}` and `{{clothing_image}}`.\n   - 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.`\n   - Aspect ratio: 1:1 or 4:5\n\nPresent the resulting fashion photo to the user for approval.\n\n### Phase B — Fashion Video Generation (Optional)\n\nAfter the image is generated, ask the user if they would like to create a professional fashion video of the model wearing the outfit.\n\nIf requested, submit the plan with ONE step:\n\n1. **Fashion Video Generation** — `muapi video from-image` (model=`seedance-v1.5-pro-i2v-fast`):\n   - Reference Image: The try-on image generated in Phase A.\n   - 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.`\n   - Aspect ratio: 9:16 or 4:5\n\nAfter generation, present the final fashion video.\n\n## Trigger Keywords\n\n`fashion try on`, `virtual fitting room`, `try on clothes`, `model fashion`, `clothing preview`\n\n\n---\n\n## Notes for the Executing Agent\n\n- 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.\n- For model IDs without a CLI alias yet, fall back to the raw endpoint via `curl -X POST https:\u002F\u002Fapi.muapi.ai\u002Fapi\u002Fv1\u002F\u003Cendpoint> -H \"x-api-key: $MUAPI_API_KEY\" -H 'content-type: application\u002Fjson' -d '{...}'` and poll with `muapi predict wait \u003Crequest_id>`.\n- Substitute `{{input_name}}` placeholders with the user's actual inputs before issuing each call.\n",{"name":5,"slug":5,"version":38,"description":7,"acceptLicenseTerms":39},"1.0.0",true,"main","2b63f856ce19c2a797929cacabd9e0fc936812fa","plugins\u002FSamurAIGPT\u002FGenerative-Media-Skills\u002Flibrary\u002Fvisual\u002Ffashion-try-on",468,"https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins","https:\u002F\u002Fhol.org\u002Fplugins\u002Fbest-codex-plugins","https:\u002F\u002Fgithub.com\u002Fhashgraph-online","https:\u002F\u002Fhol.org","Open-source standards and developer tools for interoperable AI agents: discovery, identity, communication, payments, privacy and security.","2026-11-11 02:22:54",{"source":8,"skillName":5,"commands":51,"prompt":61,"zipAvailable":39},[52,55,58],{"tool":53,"command":54},"npx","npx skills add hashgraph-online\u002Fawesome-codex-plugins --skill muapi-fashion-try-on",{"tool":56,"command":57},"bunx","bunx skills add hashgraph-online\u002Fawesome-codex-plugins --skill muapi-fashion-try-on",{"tool":59,"command":60},"pnpm","pnpm dlx skills add hashgraph-online\u002Fawesome-codex-plugins --skill muapi-fashion-try-on","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002FSamurAIGPT\u002FGenerative-Media-Skills\u002Flibrary\u002Fvisual\u002Ffashion-try-on\u002FSKILL.md",[],[64,91,116,145,166,180],{"skillNo":65,"name":66,"nameZh":6,"description":67,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":68,"categories":69,"keywords":70,"publishedAt":33},"01M716A6ETNB9B1SQ3GXZC75VR","deja-search","deja-vu memory — search the user's past AI coding sessions with the deja CLI. Holds what they already settled and never wrote into the repo (naming rules, banned or already-tried tools, required checks before merge, preferred values, who owns what). Use before your first edit in a task, before you call a change done or ready to merge, before you recommend a tool, library, design or reviewer, before re-debugging an error that may already be solved, when they say 'didn't we fix this before', 'what did we decide about X' or 'I already have that', and before telling them something on this machine does not exist.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fvshulcz\u002Fdeja-vu\u002Fskills\u002Fdeja-search\u002FSKILL.md",[],[71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90],"search","deja search","error","ready","never","memory","re","decide","fix","design","debugging","when","you","done","reviewer","io","change","cli","merge","past",{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":97,"publishedAt":33},"01M716A3J2W5SENSE9VGMXB375","deja-reflect","End-of-session reflection and memory curation with deja-vu. Review what was decided, what commands broke and what repaired them, and record durable project rules or decisions with deja remember so the next session starts with them.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fvshulcz\u002Fdeja-vu\u002Fskills\u002Fdeja-reflect\u002FSKILL.md",[],[98,99,100,101,76,102,103,104,105,106,107,108,109,86,110,111,112,113,114,115],"reflect","deja reflect","brew","remember","project rules","project","session","end","reflection","Rules","decisions","review","with","record","github","next","https","node",{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":129,"publishedAt":33},"01M715T3RR4BAYSR57HPPTJ0PF","revid","Make, edit, export and post AI videos with Revid (revid.ai) through the Revid MCP server. Use whenever the user wants a short-form or long-form video made (from an idea, a script, a URL, an article, a PDF, a tweet, a product page, their own clips, or a song), wants to find what is going viral on TikTok, YouTube, Instagram or X before making something, wants to edit or re-export an existing Revid project, generate a standalone AI image or clip, make a series episode, or publish and schedule a finished video to connected social accounts. Covers setup (hosted MCP with OAuth, or an API key), the 36 tools, credits, polling and the rules for publishing. Routes to the more specific revid-* skills when one fits.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftmakersas\u002Frevid-skills\u002Fskills\u002Frevid\u002FSKILL.md",[122,125,126],{"categoryNo":123,"categoryName":124,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":127,"categoryName":128,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[118,28,130,131,132,133,103,134,77,135,136,137,138,82,139,140,141,142,143,144],"short-form","standalone","PDF","viral","tiktok","short","social","MCP","song","URL","image","mcp server","schedule","api","publish",{"skillNo":146,"name":147,"nameZh":6,"description":148,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":149,"categories":150,"keywords":151,"publishedAt":33},"01M71569ZM2X3H5RBFK8PVKMK2","review-study","Review a QuestionPunk survey before launch for wording, answer choices, branching, and missing settings. Use for check my survey or review this draft before publishing.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fquestionpunk\u002Fcodex-plugin\u002Fskills\u002Freview-study\u002FSKILL.md",[],[152,153,109,154,155,156,157,158,159,160,161,162,163,164,165],"study","review study","for","answer","missing","survey","publishing","use","check","draft","settings","launch","my","branching",{"skillNo":167,"name":168,"nameZh":6,"description":169,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":170,"categories":171,"keywords":172,"publishedAt":33},"01M71567GV0C35YQBY0DPGR86B","manage-study","Find QuestionPunk studies, check status, publish an explicitly requested draft, or retrieve its participant link. Use for find my survey, publish this study, or how many people responded.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fquestionpunk\u002Fcodex-plugin\u002Fskills\u002Fmanage-study\u002FSKILL.md",[],[173,152,174,154,157,159,175,160,161,144,176,177,178,179,164],"manage study","manage","people","how","find","link","status",{"skillNo":181,"name":182,"nameZh":6,"description":183,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":184,"categories":185,"keywords":186,"publishedAt":33},"01M71565A8TCA01AZQZRGRYMFZ","create-study","Create a saved QuestionPunk survey draft from a research brief or edit specified questions. Use for requests such as make a customer feedback survey or shorten my onboarding study.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fquestionpunk\u002Fcodex-plugin\u002Fskills\u002Fcreate-study\u002FSKILL.md",[],[187,152,188,189,190,191,154,192,157,193,159,194,195,161,196,197,198,199,200,164],"create study","create","brief","as","feedback","customer feedback","research brief","shorten","saved","research","requests","customer","questions","edit"]