[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MJ9APS2KXD01KQQ63DTM4P":3,"skill-same:01M6MJ9APS2KXD01KQQ63DTM4P":87},{"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":16,"sourceHtmlUrl":17,"categories":18,"keywords":24,"publishedAt":45,"linkOnly":46,"markdownContent":47,"markdownBody":48,"frontMatter":49,"refName":53,"commitSha":54,"skillDirectory":55,"forksCount":56,"repositoryHtmlUrl":57,"repositoryHomepageUrl":58,"ownerHtmlUrl":59,"ownerBlogUrl":60,"ownerDescription":61,"updatedAt":62,"install":63,"resources":76},"01M6MJ9APS2KXD01KQQ63DTM4P","magic-hour-body-swap",null,"Place a supplied person into a scene image with Magic Hour Body Swap, preserving the intended identity and checking pose, scale and scene contact. Use for full-person photo placement; use Face Swap for only a face and Character Replace for an existing video performance.","hashgraph-online\u002Fawesome-codex-plugins","hashgraph-online","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F160371962?v=4","01M6CNB6NRJVNNGN14TR01Q6D3","HOL (Hashgraph Online)","01M6JT1HSKKG9V68KQAQGBA7XP",1566,"MIT","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fmagichourhq\u002Fskills\u002Fskills\u002Fmagic-hour-body-swap\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fmagichourhq\u002Fskills\u002Fskills\u002Fmagic-hour-body-swap\u002FSKILL.md",[19],{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44],"body","magic hour body swap","magic","swap","with","replace","face","pose","Existing","person","for","image","scale","full","character","only","use","Video","identity","performance","2026-11-10 10:12:30",false,"---\nname: magic-hour-body-swap\ndescription: Place a supplied person into a scene image with Magic Hour Body Swap, preserving the intended identity and checking pose, scale and scene contact. Use for full-person photo placement; use Face Swap for only a face and Character Replace for an existing video performance.\nlicense: MIT\nmetadata:\n  author: magichourhq\n  version: \"1.0.0\"\n---\n\n# Magic Hour body swap\n\nAccept “put me in this scene.” Identify the person reference and destination image, choose settings within the existing budget, inspect the result and deliver the image. Do not swap source and destination or reinterpret a face-only request as replacing the whole person.\n\n## Prepare compatible inputs\n\nUse `place_person_in_scene` when an entire person belongs in a supplied scene. Use photo Face Swap when the existing body\u002Foutfit must remain, AI Image Editor for a directed background or wardrobe change, and Character Replace when preserving a video performance is the actual job.\n\nInspect both images before generating: intended person, visible body extent, pose, camera height, lighting and destination scale. A headshot cannot specify unseen clothing or legs. Prefer a reference showing the body the scene needs; if a new view is necessary, create\u002Fedit it deliberately within budget and identify invented details. Preserve actual identity and clothing choices rather than adding unsolicited body or beauty changes.\n\nDetermine whether the scene contains one obvious replacement subject or needs a new placement. The endpoint has person and scene inputs but no point selector, mask or placement prompt. For multiple people or a precise empty-space location, use a tool that exposes suitable control, or first prepare an unambiguous scene. Do not guess which bystander the endpoint will replace.\n\n## Generate and inspect the contact\n\nUse the creation MCP at `https:\u002F\u002Fmcp.magichour.ai\u002F`; [setup](https:\u002F\u002Fgithub.com\u002Fmagichourhq\u002Fmagic-hour-mcp\u002Fblob\u002Fmain\u002Fuser.md). Pass `assets.person_file_path` for the identity\u002Fbody reference, `assets.scene_file_path` for the destination and a supported `resolution`. API users should read `\u002Fv1\u002Fbody-swap` in the [live schema](https:\u002F\u002Fdocs.magichour.ai\u002Fapi-reference\u002Fopenapi.json). It does not accept a general prompt, strength, mask, seed or model field; do not invent them.\n\nUpload local inputs with `get_upload_urls`, PUT raw bytes to `upload_url` without the API bearer token, then use `file_path`. Submit once, save the ID and `wait_for_image_project`. Resume the same ID after a timeout. Preserve exact download URLs and save a durable image.\n\nCompare against both inputs: recognizable face, intended outfit\u002Fbody, pose, limb count, hands, perspective, subject scale, ground\u002Fchair contact, shadow direction, occlusion and unchanged surrounding people\u002Fobjects. Inspect full resolution and the intended small display size. Verify the downloaded dimensions; a plausible face alone does not make a convincing placement.\n\nFor wrong identity, return to a clearer original reference. For wrong position or altered bystanders, use an available editor with the needed control instead of repeating the same uncontrolled request. For bad body geometry, fix reference\u002Fframing compatibility. Repair only the failed requirement within budget and state unresolved issues.\n\nIn the [published placement case](https:\u002F\u002Fgithub.com\u002Fmagichourhq\u002Fskills\u002Ftree\u002Fmain\u002Fexamples\u002Fscene-remixes), Body Swap changed facial likeness and recomposed the station. A two-reference Image Editor repair restored a closer likeness and the side-platform setting; framing and fine scene details still differed. Inspect both attempts; do not treat a successful Body Swap request as proof that the destination was preserved.\n\n## Continue to motion only after the still works\n\nIf video was requested, animate the accepted placement through Image-to-Video and describe action, camera and end state. Do not ask motion generation to repair extra limbs or incorrect contact in the start frame. If exact choreography was supplied, use Character Replace with the original performance instead.\n\nDeliver the finished image or requested video, both source references and the accepted placement decisions. Reuse the scene when changing the person and the person reference when changing the scene; a crop or caption does not need another body swap.\n","# Magic Hour body swap\n\nAccept “put me in this scene.” Identify the person reference and destination image, choose settings within the existing budget, inspect the result and deliver the image. Do not swap source and destination or reinterpret a face-only request as replacing the whole person.\n\n## Prepare compatible inputs\n\nUse `place_person_in_scene` when an entire person belongs in a supplied scene. Use photo Face Swap when the existing body\u002Foutfit must remain, AI Image Editor for a directed background or wardrobe change, and Character Replace when preserving a video performance is the actual job.\n\nInspect both images before generating: intended person, visible body extent, pose, camera height, lighting and destination scale. A headshot cannot specify unseen clothing or legs. Prefer a reference showing the body the scene needs; if a new view is necessary, create\u002Fedit it deliberately within budget and identify invented details. Preserve actual identity and clothing choices rather than adding unsolicited body or beauty changes.\n\nDetermine whether the scene contains one obvious replacement subject or needs a new placement. The endpoint has person and scene inputs but no point selector, mask or placement prompt. For multiple people or a precise empty-space location, use a tool that exposes suitable control, or first prepare an unambiguous scene. Do not guess which bystander the endpoint will replace.\n\n## Generate and inspect the contact\n\nUse the creation MCP at `https:\u002F\u002Fmcp.magichour.ai\u002F`; [setup](https:\u002F\u002Fgithub.com\u002Fmagichourhq\u002Fmagic-hour-mcp\u002Fblob\u002Fmain\u002Fuser.md). Pass `assets.person_file_path` for the identity\u002Fbody reference, `assets.scene_file_path` for the destination and a supported `resolution`. API users should read `\u002Fv1\u002Fbody-swap` in the [live schema](https:\u002F\u002Fdocs.magichour.ai\u002Fapi-reference\u002Fopenapi.json). It does not accept a general prompt, strength, mask, seed or model field; do not invent them.\n\nUpload local inputs with `get_upload_urls`, PUT raw bytes to `upload_url` without the API bearer token, then use `file_path`. Submit once, save the ID and `wait_for_image_project`. Resume the same ID after a timeout. Preserve exact download URLs and save a durable image.\n\nCompare against both inputs: recognizable face, intended outfit\u002Fbody, pose, limb count, hands, perspective, subject scale, ground\u002Fchair contact, shadow direction, occlusion and unchanged surrounding people\u002Fobjects. Inspect full resolution and the intended small display size. Verify the downloaded dimensions; a plausible face alone does not make a convincing placement.\n\nFor wrong identity, return to a clearer original reference. For wrong position or altered bystanders, use an available editor with the needed control instead of repeating the same uncontrolled request. For bad body geometry, fix reference\u002Fframing compatibility. Repair only the failed requirement within budget and state unresolved issues.\n\nIn the [published placement case](https:\u002F\u002Fgithub.com\u002Fmagichourhq\u002Fskills\u002Ftree\u002Fmain\u002Fexamples\u002Fscene-remixes), Body Swap changed facial likeness and recomposed the station. A two-reference Image Editor repair restored a closer likeness and the side-platform setting; framing and fine scene details still differed. Inspect both attempts; do not treat a successful Body Swap request as proof that the destination was preserved.\n\n## Continue to motion only after the still works\n\nIf video was requested, animate the accepted placement through Image-to-Video and describe action, camera and end state. Do not ask motion generation to repair extra limbs or incorrect contact in the start frame. If exact choreography was supplied, use Character Replace with the original performance instead.\n\nDeliver the finished image or requested video, both source references and the accepted placement decisions. Reuse the scene when changing the person and the person reference when changing the scene; a crop or caption does not need another body swap.\n",{"name":5,"license":15,"metadata":50,"description":7},{"author":51,"version":52},"magichourhq","1.0.0","main","2b63f856ce19c2a797929cacabd9e0fc936812fa","plugins\u002Fmagichourhq\u002Fskills\u002Fskills\u002Fmagic-hour-body-swap",483,"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.","2026-11-13 02:16:32",{"source":8,"skillName":5,"commands":64,"prompt":74,"zipAvailable":75},[65,68,71],{"tool":66,"command":67},"npx","npx skills add hashgraph-online\u002Fawesome-codex-plugins --skill magic-hour-body-swap",{"tool":69,"command":70},"bunx","bunx skills add hashgraph-online\u002Fawesome-codex-plugins --skill magic-hour-body-swap",{"tool":72,"command":73},"pnpm","pnpm dlx skills add hashgraph-online\u002Fawesome-codex-plugins --skill magic-hour-body-swap","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fmagichourhq\u002Fskills\u002Fskills\u002Fmagic-hour-body-swap\u002FSKILL.md",true,[77,83],{"path":78,"resourceType":79,"resourceTypeDesc":80,"sizeBytes":81,"sourceHtmlUrl":82},"agents\u002Fopenai.yaml","REFERENCE","参考文档",277,"https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fmagichourhq\u002Fskills\u002Fskills\u002Fmagic-hour-body-swap\u002Fagents\u002Fopenai.yaml",{"path":84,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":86,"sourceHtmlUrl":16},"LICENSE","许可证",1076,[88,97,104,111,138,162],{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":92,"licenseFileUrl":6,"sourceHtmlUrl":93,"categories":94,"keywords":95,"publishedAt":96},"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.","Apache-2.0","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":98,"name":99,"nameZh":6,"description":100,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":92,"licenseFileUrl":6,"sourceHtmlUrl":101,"categories":102,"keywords":103,"publishedAt":96},"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":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":92,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":110,"publishedAt":96},"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":112,"name":113,"nameZh":6,"description":114,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":92,"licenseFileUrl":6,"sourceHtmlUrl":115,"categories":116,"keywords":117,"publishedAt":45},"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",[],[118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137],"search","deja search","never","error","ready","memory","re","decide","fix","design","debugging","when","you","done","reviewer","io","change","cli","merge","past",{"skillNo":139,"name":140,"nameZh":6,"description":141,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":92,"licenseFileUrl":6,"sourceHtmlUrl":142,"categories":143,"keywords":144,"publishedAt":45},"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",[],[145,146,147,133,29,148,149,150,151,152,153,154,155,156,123,157,158,159,160,161],"deja reflect","reflect","review","record","github","next","https","node","Rules","decisions","brew","remember","project rules","project","session","end","reflection",{"skillNo":163,"name":164,"nameZh":6,"description":165,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":92,"licenseFileUrl":6,"sourceHtmlUrl":166,"categories":167,"keywords":175,"publishedAt":45},"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",[168,169,172],{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},{"categoryNo":170,"categoryName":171,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":173,"categoryName":174,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000010","后端与接口",[164,176,42,177,178,179,180,158,181,124,182,183,184,185,129,36,186,187,188,189],"URL","short-form","standalone","PDF","viral","tiktok","short","social","MCP","song","mcp server","schedule","api","publish"]