[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MDEV3V0RNDPC73G142X5QN":3,"skill-same:01M6MDEV3V0RNDPC73G142X5QN":65},{"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":35,"linkOnly":36,"markdownContent":37,"markdownBody":38,"frontMatter":39,"refName":42,"commitSha":43,"skillDirectory":44,"forksCount":45,"repositoryHtmlUrl":46,"repositoryHomepageUrl":47,"ownerHtmlUrl":48,"ownerBlogUrl":49,"ownerDescription":50,"updatedAt":51,"install":52,"resources":64},"01M6MDEV3V0RNDPC73G142X5QN","muapi-character-story-video",null,"Create a multi-part animated story video by first establishing a consistent character and then generating sequential scenes and animating them.","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\u002Fmotion\u002Fcharacter-story-video\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34],"Video","Story","character","muapi","story video","muapi character story video","create","first","scenes","multi","true","2026-11-10 10:12:30",false,"---\nslug: muapi-character-story-video\nname: muapi-character-story-video\nversion: \"1.0.0\"\ndescription: Create a multi-part animated story video by first establishing a consistent character and then generating sequential scenes and animating them.\nacceptLicenseTerms: true\n---\n\n\n# Character Story Video\n\n**Create a multi-part animated story video by first establishing a consistent character and then generating sequential scenes and animating them.**\n\n## Inputs\n\n| Name | Type | Required | Default | Description |\n|:---|:---|:---|:---|:---|\n| `character_description` | text | yes | — | Description of the main character (e.g. \"a cute piglet wearing a leather aviator jacket and goggles\"). |\n| `story_premise` | text | yes | — | The overall story arc (e.g. \"building a jetpack and flying to space\"). |\n| `reference_image` | image_url | no | — | Optional starting image of the character to maintain consistency. |\n\n\n## Steps\n\nThis skill involves multiple phases to build a cohesive narrative.\n\n### Phase A — Character Establishment\n\nIf `{{reference_image}}` is NOT provided, submit the plan with ONE step to create the character:\n1. **Character Creation** — `muapi image generate` (model=`nano-banana-pro`):\n   - Prompt: `{{character_description}}, introducing the main character, cinematic lighting, highly detailed, Pixar 3D animation style.`\n   - Aspect ratio: 4:5 or 1:1\n\nIf `{{reference_image}}` IS provided, use it as the established character and proceed to Phase B.\n\nAfter generation, ask the user to confirm the character design before proceeding.\n\n### Phase B — Sequential Scene Generation\n\nOnce the character is established, create the story beats (e.g., Scene 1, Scene 2, Scene 3).\nSubmit the plan using `muapi image edit` (model=`nano-banana-2-edit` or `flux-kontext-pro-i2i`) to maintain character consistency. Use the established character image as the reference for ALL these steps.\n\n1. **Scene 1 (Beginning)**\n   - Reference: Character Image\n   - Prompt: `The character ({{character_description}}) in the first scene of the story: [Describe the beginning of {{story_premise}}]. Cinematic lighting, Pixar 3D animation style, storybook illustration.`\n2. **Scene 2 (Middle)**\n   - Reference: Character Image\n   - Prompt: `The character ({{character_description}}) in the second scene: [Describe the climax or middle action of {{story_premise}}]. Cinematic lighting, Pixar 3D animation style, storybook illustration.`\n3. **Scene 3 (End)**\n   - Reference: Character Image\n   - Prompt: `The character ({{character_description}}) in the final scene: [Describe the resolution of {{story_premise}}]. Cinematic lighting, Pixar 3D animation style, storybook illustration.`\n\n*Note: All scenes should be generated in parallel or sequentially depending on the story flow.*\n\nAfter generating the scenes, present them to the user and ask if they are ready to animate the story.\n\n### Phase C — Animation (Sequel Part 1, Part 2, Part 3)\n\nSubmit the plan to animate the generated scenes using an image-to-video model (e.g., `kling-v3.0-pro-image-to-video` or `veo3.1-image-to-video`).\n\n1. **Part 1 Video**\n   - Input: Scene 1 Image\n   - Prompt: `Cinematic animation of the scene, character comes to life, subtle natural movements, high quality 3D animation.`\n2. **Part 2 Video**\n   - Input: Scene 2 Image\n   - Prompt: `Cinematic animation of the scene, character comes to life, dynamic action, high quality 3D animation.`\n3. **Part 3 Video**\n   - Input: Scene 3 Image\n   - Prompt: `Cinematic animation of the scene, character comes to life, triumphant resolution, high quality 3D animation.`\n\nAfter generating the videos, present them to the user as a multi-part story sequence. You may also suggest using the `muapi predict result` + ffmpeg concat tool to merge them into a single movie if requested.\n\n## Trigger Keywords\n\n`character story`, `story video`, `animated story`, `sequel video`, `multi part video`, `sequential story`\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","# Character Story Video\n\n**Create a multi-part animated story video by first establishing a consistent character and then generating sequential scenes and animating them.**\n\n## Inputs\n\n| Name | Type | Required | Default | Description |\n|:---|:---|:---|:---|:---|\n| `character_description` | text | yes | — | Description of the main character (e.g. \"a cute piglet wearing a leather aviator jacket and goggles\"). |\n| `story_premise` | text | yes | — | The overall story arc (e.g. \"building a jetpack and flying to space\"). |\n| `reference_image` | image_url | no | — | Optional starting image of the character to maintain consistency. |\n\n\n## Steps\n\nThis skill involves multiple phases to build a cohesive narrative.\n\n### Phase A — Character Establishment\n\nIf `{{reference_image}}` is NOT provided, submit the plan with ONE step to create the character:\n1. **Character Creation** — `muapi image generate` (model=`nano-banana-pro`):\n   - Prompt: `{{character_description}}, introducing the main character, cinematic lighting, highly detailed, Pixar 3D animation style.`\n   - Aspect ratio: 4:5 or 1:1\n\nIf `{{reference_image}}` IS provided, use it as the established character and proceed to Phase B.\n\nAfter generation, ask the user to confirm the character design before proceeding.\n\n### Phase B — Sequential Scene Generation\n\nOnce the character is established, create the story beats (e.g., Scene 1, Scene 2, Scene 3).\nSubmit the plan using `muapi image edit` (model=`nano-banana-2-edit` or `flux-kontext-pro-i2i`) to maintain character consistency. Use the established character image as the reference for ALL these steps.\n\n1. **Scene 1 (Beginning)**\n   - Reference: Character Image\n   - Prompt: `The character ({{character_description}}) in the first scene of the story: [Describe the beginning of {{story_premise}}]. Cinematic lighting, Pixar 3D animation style, storybook illustration.`\n2. **Scene 2 (Middle)**\n   - Reference: Character Image\n   - Prompt: `The character ({{character_description}}) in the second scene: [Describe the climax or middle action of {{story_premise}}]. Cinematic lighting, Pixar 3D animation style, storybook illustration.`\n3. **Scene 3 (End)**\n   - Reference: Character Image\n   - Prompt: `The character ({{character_description}}) in the final scene: [Describe the resolution of {{story_premise}}]. Cinematic lighting, Pixar 3D animation style, storybook illustration.`\n\n*Note: All scenes should be generated in parallel or sequentially depending on the story flow.*\n\nAfter generating the scenes, present them to the user and ask if they are ready to animate the story.\n\n### Phase C — Animation (Sequel Part 1, Part 2, Part 3)\n\nSubmit the plan to animate the generated scenes using an image-to-video model (e.g., `kling-v3.0-pro-image-to-video` or `veo3.1-image-to-video`).\n\n1. **Part 1 Video**\n   - Input: Scene 1 Image\n   - Prompt: `Cinematic animation of the scene, character comes to life, subtle natural movements, high quality 3D animation.`\n2. **Part 2 Video**\n   - Input: Scene 2 Image\n   - Prompt: `Cinematic animation of the scene, character comes to life, dynamic action, high quality 3D animation.`\n3. **Part 3 Video**\n   - Input: Scene 3 Image\n   - Prompt: `Cinematic animation of the scene, character comes to life, triumphant resolution, high quality 3D animation.`\n\nAfter generating the videos, present them to the user as a multi-part story sequence. You may also suggest using the `muapi predict result` + ffmpeg concat tool to merge them into a single movie if requested.\n\n## Trigger Keywords\n\n`character story`, `story video`, `animated story`, `sequel video`, `multi part video`, `sequential story`\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":40,"description":7,"acceptLicenseTerms":41},"1.0.0",true,"main","2b63f856ce19c2a797929cacabd9e0fc936812fa","plugins\u002FSamurAIGPT\u002FGenerative-Media-Skills\u002Flibrary\u002Fmotion\u002Fcharacter-story-video",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":53,"prompt":63,"zipAvailable":41},[54,57,60],{"tool":55,"command":56},"npx","npx skills add hashgraph-online\u002Fawesome-codex-plugins --skill muapi-character-story-video",{"tool":58,"command":59},"bunx","bunx skills add hashgraph-online\u002Fawesome-codex-plugins --skill muapi-character-story-video",{"tool":61,"command":62},"pnpm","pnpm dlx skills add hashgraph-online\u002Fawesome-codex-plugins --skill muapi-character-story-video","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\u002Fcharacter-story-video\u002FSKILL.md",[],[66,93,118,147,168,182],{"skillNo":67,"name":68,"nameZh":6,"description":69,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":70,"categories":71,"keywords":72,"publishedAt":35},"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",[],[73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92],"search","deja search","error","ready","never","memory","re","decide","fix","design","debugging","when","you","done","reviewer","io","change","cli","merge","past",{"skillNo":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":99,"publishedAt":35},"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",[],[100,101,102,103,78,104,105,106,107,108,109,110,111,88,112,113,114,115,116,117],"reflect","deja reflect","brew","remember","project rules","project","session","end","reflection","Rules","decisions","review","with","record","github","next","https","node",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":131,"publishedAt":35},"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",[124,127,128],{"categoryNo":125,"categoryName":126,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":129,"categoryName":130,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[120,24,132,133,134,135,105,136,79,137,138,139,140,84,141,142,143,144,145,146],"short-form","standalone","PDF","viral","tiktok","short","social","MCP","song","URL","image","mcp server","schedule","api","publish",{"skillNo":148,"name":149,"nameZh":6,"description":150,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":151,"categories":152,"keywords":153,"publishedAt":35},"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",[],[154,155,111,156,157,158,159,160,161,162,163,164,165,166,167],"study","review study","for","answer","missing","survey","publishing","use","check","draft","settings","launch","my","branching",{"skillNo":169,"name":170,"nameZh":6,"description":171,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":172,"categories":173,"keywords":174,"publishedAt":35},"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",[],[175,154,176,156,159,161,177,162,163,146,178,179,180,181,166],"manage study","manage","people","how","find","link","status",{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":188,"publishedAt":35},"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",[],[189,154,30,190,191,192,156,193,159,194,161,195,196,163,197,198,199,200,201,166],"create study","brief","as","feedback","customer feedback","research brief","shorten","saved","research","requests","customer","questions","edit"]