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muapi-character-story-video

@samuraigpt · 收录于 1 周前 · 上游提交 3 周前

Create a multi-part animated story video by first establishing a consistent character and then generating sequential scenes and animating them.

适合你,如果想用AI快速制作角色统一的动画故事视频

/ 下载安装
muapi-character-story-video.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add samuraigpt/generative-media-skills/muapi-character-story-video
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- samuraigpt/generative-media-skills/muapi-character-story-video
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify samuraigpt/generative-media-skills/muapi-character-story-video
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 a1c4c98 · 表述以原文为准
它做什么

Claude 会先根据你的描述生成一个卡通角色形象,然后围绕你给出的故事梗概,依次生成三张连贯的场景图,最后把每张图转成短视频,组成一个多段动画故事。

什么时候触发

当你提到“角色故事”、“故事视频”、“动画故事”等关键词,或者要求制作多段动画视频时触发。

装好后可以这样说
Claude 会先问角色细节,然后生成三幕场景并动画化。
上传参考图后,Claude 会保持角色一致生成后续场景。
技能原文 SKILL.md作者撰写 · MIT · a1c4c98

Character Story Video

Create a multi-part animated story video by first establishing a consistent character and then generating sequential scenes and animating them.

Inputs

| Name | Type | Required | Default | Description | |:---|:---|:---|:---|:---| | character_description | text | yes | — | Description of the main character (e.g. "a cute piglet wearing a leather aviator jacket and goggles"). | | story_premise | text | yes | — | The overall story arc (e.g. "building a jetpack and flying to space"). | | reference_image | image_url | no | — | Optional starting image of the character to maintain consistency. |

Steps

This skill involves multiple phases to build a cohesive narrative.

Phase A — Character Establishment

If {{reference_image}} is NOT provided, submit the plan with ONE step to create the character:

  1. Character Creationmuapi image generate (model=nano-banana-pro):
  2. Prompt: {{character_description}}, introducing the main character, cinematic lighting, highly detailed, Pixar 3D animation style.
  3. Aspect ratio: 4:5 or 1:1

If {{reference_image}} IS provided, use it as the established character and proceed to Phase B.

After generation, ask the user to confirm the character design before proceeding.

Phase B — Sequential Scene Generation

Once the character is established, create the story beats (e.g., Scene 1, Scene 2, Scene 3). Submit 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.

  1. Scene 1 (Beginning)
  2. Reference: Character Image
  3. 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.
  4. Scene 2 (Middle)
  5. Reference: Character Image
  6. 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.
  7. Scene 3 (End)
  8. Reference: Character Image
  9. Prompt: The character ({{character_description}}) in the final scene: [Describe the resolution of {{story_premise}}]. Cinematic lighting, Pixar 3D animation style, storybook illustration.

Note: All scenes should be generated in parallel or sequentially depending on the story flow.

After generating the scenes, present them to the user and ask if they are ready to animate the story.

Phase C — Animation (Sequel Part 1, Part 2, Part 3)

Submit 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).

  1. Part 1 Video
  2. Input: Scene 1 Image
  3. Prompt: Cinematic animation of the scene, character comes to life, subtle natural movements, high quality 3D animation.
  4. Part 2 Video
  5. Input: Scene 2 Image
  6. Prompt: Cinematic animation of the scene, character comes to life, dynamic action, high quality 3D animation.
  7. Part 3 Video
  8. Input: Scene 3 Image
  9. Prompt: Cinematic animation of the scene, character comes to life, triumphant resolution, high quality 3D animation.

After 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.

Trigger Keywords

character story, story video, animated story, sequel video, multi part video, sequential story


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.
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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