AI导哈

设计与多媒体

handdrawn-live-video-generator

minimax-ai/minimax-h3

For creators making surreal short videos that blend rough glowing hand-drawn animation with live-action spaces. Users provide a scene idea, contact object or hand, desired mood, and optional language or style constraints. The Skill clarifies the physical contact, designs continuous morphing, escape route, and delayed handheld chase movement, then writes a reusable 15-second 16:9 video prompt in the user's language. After user confirmation it recommends MiniMax H3 generation and checks contact realism, camera delay, rough glowing stroke texture, and non-horror tone. Best for single-scene creative clips, not polished CG, horror jump scares, plush characters, or multi-scene cuts.

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安装命令

npx skills add https://github.com/minimax-ai/minimax-h3 --skill handdrawn-live-video-generator

SKILL.md

Handdrawn Live-Action Fusion Video Generator

Use this Skill when the user wants a finished 15-second, 16:9 live-action-and-hand-drawn fusion video. The output must preserve the structure: a flat hand-drawn luminous animation appears in a real space, clearly contacts live-action hands or objects in the first 0-3 seconds, continuously morphs as one single entity, escapes, and a handheld phone camera follows slightly late.

This Skill organizes the prompt in the user input language and recommends MiniMax H3 as the confirmed generation step. Do not generate video until the user explicitly confirms H3 generation. Do not route to planner or executor for prompt-writing. The final prompt language must follow the dominant language of the user input: Chinese input produces Chinese, English input produces English, Japanese input produces Japanese; for mixed input, use the dominant language; when unclear, use the current conversation language. Only user-required proper nouns, model names, or literal parameters may remain unchanged.

Step 1: Understand the user intent as same-language constraints

When the user provides any language, understand it as the following workflow requirements and express the final prompt in the dominant language of the user input:

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