[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MDGZRWSMBXYVZ7EEHNTSV2":3,"skill-same:01M6MDGZRWSMBXYVZ7EEHNTSV2":66},{"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":18,"publishedAt":36,"linkOnly":37,"markdownContent":38,"markdownBody":39,"frontMatter":40,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":46,"repositoryHtmlUrl":47,"repositoryHomepageUrl":48,"ownerHtmlUrl":49,"ownerBlogUrl":50,"ownerDescription":51,"updatedAt":52,"install":53,"resources":65},"01M6MDGZRWSMBXYVZ7EEHNTSV2","muapi-ugc-lifestyle-try-on",null,"Generate UGC-style (User Generated Content) lifestyle photos of a person wearing or using your product — authentic, relatable, social-media-native imagery.","hashgraph-online\u002Fawesome-codex-plugins","hashgraph-online","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F160371962?v=4","01M6CNB6NRJVNNGN14TR01Q6D3","HOL (Hashgraph Online)","01M6JT1HSKKG9V68KQAQGBA7XP",1559,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002FSamurAIGPT\u002FGenerative-Media-Skills\u002Flibrary\u002Fmotion\u002Fugc-lifestyle-try-on\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35],"muapi ugc lifestyle try on","muapi","social","person","true","imagery","native","user generated content","style","generate","photos","generated","user","Media","social-media","content","product","2026-11-10 10:12:30",false,"---\nslug: muapi-ugc-lifestyle-try-on\nname: muapi-ugc-lifestyle-try-on\nversion: \"1.0.0\"\ndescription: Generate UGC-style (User Generated Content) lifestyle photos of a person wearing or using your product — authentic, relatable, social-media-native imagery.\nacceptLicenseTerms: true\n---\n\n\n# UGC Lifestyle Try-On\n\n**Generate UGC-style (User Generated Content) lifestyle photos of a person wearing or using your product — authentic, relatable, social-media-native imagery.**\n\n## Inputs\n\n| Name | Type | Required | Default | Description |\n|:---|:---|:---|:---|:---|\n| `product_name` | text | yes | — | The product to feature (e.g. \"white oversized hoodie\", \"blue light blocking glasses\", \"leather crossbody bag\"). |\n| `product_image` | image_url | yes | — | Product image or photo URL to use as reference for the try-on. |\n| `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\"). |\n| `setting` | text | no | casual lifestyle, natural lighting | Scene and mood (e.g. \"urban street style\", \"cozy home morning routine\", \"gym workout\", \"coffee shop\"). |\n| `platform` | text | no | instagram | Target platform — \"instagram\", \"tiktok\", \"pinterest\", \"amazon\". |\n\n\n## Steps\n\nSubmit the plan with TWO steps:\n\n### Step 1 — Outfit\u002FProduct Try-On\n\n1. **Try-on generation** — `muapi image edit` (model=`ai-dress-change`) if product is wearable clothing, otherwise `muapi image edit` (model=`flux-kontext-pro-i2i`):\n   - For clothing\u002Fwearables with `ai-dress-change`:\n     - Product: `{{product_image}}`\n     - Prompt: `{{model_description}} wearing the product naturally in a {{setting}} environment. Authentic UGC-style photo, candid pose, natural expression.`\n   - For accessories\u002Fnon-clothing with `flux-kontext-pro-i2i`:\n     - Prompt: `{{model_description}} using\u002Fwearing {{product_name}} in a {{setting}}. The product from the reference image is clearly visible and featured. Natural UGC-style lifestyle photography, authentic candid feel.`\n   - Aspect ratio: 4:5 for Instagram, 9:16 for TikTok, 2:3 for Pinterest\n\n### Step 2 — UGC Lifestyle Variant\n\n2. **Lifestyle context shot** — `muapi image edit` (model=`gpt4o-edit`) using the output from Step 1:\n   - 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.`\n\nAfter generation:\n- Present both the try-on and lifestyle variant\n- Offer to generate a 3-image carousel set with different poses\u002Fsettings\n- Suggest adding a short UGC-style video with `kling-v3.0-pro-image-to-video`\n\n## Notes\n- UGC performs best when it looks \"accidental\" — avoid overly polished or symmetrical compositions.\n- For TikTok\u002FReels, suggest animating the best static shot into a video.\n- For Amazon, refer back to the `amazon-product-listing` skill for white-background variants.\n\n## Trigger Keywords\n\n`ugc`, `try on`, `lifestyle photo`, `model wearing`, `outfit photo`, `wear product`, `user generated`, `ugc content`, `lifestyle try on`\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","# UGC Lifestyle Try-On\n\n**Generate UGC-style (User Generated Content) lifestyle photos of a person wearing or using your product — authentic, relatable, social-media-native imagery.**\n\n## Inputs\n\n| Name | Type | Required | Default | Description |\n|:---|:---|:---|:---|:---|\n| `product_name` | text | yes | — | The product to feature (e.g. \"white oversized hoodie\", \"blue light blocking glasses\", \"leather crossbody bag\"). |\n| `product_image` | image_url | yes | — | Product image or photo URL to use as reference for the try-on. |\n| `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\"). |\n| `setting` | text | no | casual lifestyle, natural lighting | Scene and mood (e.g. \"urban street style\", \"cozy home morning routine\", \"gym workout\", \"coffee shop\"). |\n| `platform` | text | no | instagram | Target platform — \"instagram\", \"tiktok\", \"pinterest\", \"amazon\". |\n\n\n## Steps\n\nSubmit the plan with TWO steps:\n\n### Step 1 — Outfit\u002FProduct Try-On\n\n1. **Try-on generation** — `muapi image edit` (model=`ai-dress-change`) if product is wearable clothing, otherwise `muapi image edit` (model=`flux-kontext-pro-i2i`):\n   - For clothing\u002Fwearables with `ai-dress-change`:\n     - Product: `{{product_image}}`\n     - Prompt: `{{model_description}} wearing the product naturally in a {{setting}} environment. Authentic UGC-style photo, candid pose, natural expression.`\n   - For accessories\u002Fnon-clothing with `flux-kontext-pro-i2i`:\n     - Prompt: `{{model_description}} using\u002Fwearing {{product_name}} in a {{setting}}. The product from the reference image is clearly visible and featured. Natural UGC-style lifestyle photography, authentic candid feel.`\n   - Aspect ratio: 4:5 for Instagram, 9:16 for TikTok, 2:3 for Pinterest\n\n### Step 2 — UGC Lifestyle Variant\n\n2. **Lifestyle context shot** — `muapi image edit` (model=`gpt4o-edit`) using the output from Step 1:\n   - 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.`\n\nAfter generation:\n- Present both the try-on and lifestyle variant\n- Offer to generate a 3-image carousel set with different poses\u002Fsettings\n- Suggest adding a short UGC-style video with `kling-v3.0-pro-image-to-video`\n\n## Notes\n- UGC performs best when it looks \"accidental\" — avoid overly polished or symmetrical compositions.\n- For TikTok\u002FReels, suggest animating the best static shot into a video.\n- For Amazon, refer back to the `amazon-product-listing` skill for white-background variants.\n\n## Trigger Keywords\n\n`ugc`, `try on`, `lifestyle photo`, `model wearing`, `outfit photo`, `wear product`, `user generated`, `ugc content`, `lifestyle try on`\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":41,"description":7,"acceptLicenseTerms":42},"1.0.0",true,"main","2b63f856ce19c2a797929cacabd9e0fc936812fa","plugins\u002FSamurAIGPT\u002FGenerative-Media-Skills\u002Flibrary\u002Fmotion\u002Fugc-lifestyle-try-on",474,"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 14:40:14",{"source":8,"skillName":5,"commands":54,"prompt":64,"zipAvailable":42},[55,58,61],{"tool":56,"command":57},"npx","npx skills add hashgraph-online\u002Fawesome-codex-plugins --skill muapi-ugc-lifestyle-try-on",{"tool":59,"command":60},"bunx","bunx skills add hashgraph-online\u002Fawesome-codex-plugins --skill muapi-ugc-lifestyle-try-on",{"tool":62,"command":63},"pnpm","pnpm dlx skills add hashgraph-online\u002Fawesome-codex-plugins --skill muapi-ugc-lifestyle-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\u002Fmotion\u002Fugc-lifestyle-try-on\u002FSKILL.md",[],[67,75,82,89,116,141],{"skillNo":68,"name":69,"nameZh":6,"description":70,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":71,"categories":72,"keywords":73,"publishedAt":74},"01M746ZWACVKMZ1BJXJZHYJSSX","migrate-to-e2e","Moves an existing Playwright, Cypress, Selenium, Appium, Detox, Maestro, or TesterArmy suite to e2e one slice at a time, with the old suite running beside the new one until each ported test is proven. Keeps a MIGRATION.md progress file so any later session resumes where the last stopped. Optionally plants a defect to show both suites catch it. Use for \u002Fmigrate-to-e2e, \"migrate our tests to e2e\", \"port these Maestro flows\", \"move our TesterArmy tests\", or when a project has an e2e config and an older suite still running.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftester-army\u002Fe2e\u002Fskills\u002Fmigrate-to-e2e\u002FSKILL.md",[],[],"2026-11-11 15:11:14",{"skillNo":76,"name":77,"nameZh":6,"description":78,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":79,"categories":80,"keywords":81,"publishedAt":74},"01M746ZPTAX1Q0FBKAB1CYND7E","e2e","Writes, runs, and debugs end-to-end tests for web and mobile apps with e2e, the agentic test runner, which mixes agent.act goals with exact locator assertions on a Playwright browser or an iOS or Android device. Also drives a project's running app live over the e2e MCP server to look at a screen, check a UI change, take a screenshot or record a video, and try a locator; and runs bug bashes, parallel e2e explore runs with each bug proven by a repro test. Use when a project depends on e2e or has an e2e.config.ts, when asked for end-to-end, browser, mobile, or agentic UI tests, to check a change in the running app, to QA or bug bash an app or branch, or when an e2e run fails.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftester-army\u002Fe2e\u002Fskills\u002Fe2e\u002FSKILL.md",[],[],{"skillNo":83,"name":84,"nameZh":6,"description":85,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":86,"categories":87,"keywords":88,"publishedAt":74},"01M746ZJN784HVHMDP9MQGCSGG","create-verification-skill","Generate a project-local verify-\u003Capp> skill on top of e2e, so any coding agent can launch the app, check it is worth driving, exercise a feature the way a user does, keep evidence, and bug bash it. Writes the skill, a feature map with one explore charter per feature, and proves it once. Use for \u002Fcreate-verification-skill, \"make a verification skill for this repo\", or when a project has no scripted way to prove UI behavior.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftester-army\u002Fe2e\u002Fskills\u002Fcreate-verification-skill\u002FSKILL.md",[],[],{"skillNo":90,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":93,"categories":94,"keywords":95,"publishedAt":36},"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",[],[96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115],"search","deja search","never","error","ready","memory","re","decide","fix","design","debugging","when","you","done","reviewer","io","change","cli","merge","past",{"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":122,"publishedAt":36},"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",[],[123,124,125,111,126,127,128,129,130,131,132,133,134,135,101,136,137,138,139,140],"deja reflect","reflect","review","with","record","github","next","https","node","Rules","decisions","brew","remember","project rules","project","session","end","reflection",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":158,"publishedAt":36},"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",[147,152,155],{"categoryNo":148,"categoryName":149,"taxonomyType":150,"taxonomyTypeDesc":151},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",{"categoryNo":153,"categoryName":154,"taxonomyType":150,"taxonomyTypeDesc":151},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":156,"categoryName":157,"taxonomyType":150,"taxonomyTypeDesc":151},"01JBSEEDCAT000000000000010","后端与接口",[143,159,160,161,162,163,164,137,165,102,166,21,167,168,107,169,170,171,172,173],"URL","Video","short-form","standalone","PDF","viral","tiktok","short","MCP","song","image","mcp server","schedule","api","publish"]