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Animator Skill

Community
RainLib
animator-skill

Use when converting static image sequences (sequence boards) into motion prompts for AI video generation platforms (Runway, Pika, SVD), or describing temporal movement for video synthesis

Overview

PublisherRainLib
RepositoryAI-Storyboard
Skill nameanimator-skill
Stars
55
Forks
13
Bundled files
3
LicenseGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by RainLib on GitHub. Read the source before you install it.

Installation

Install the Animator Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/RainLib/AI-Storyboard/tree/main/.claude/skills/animator-skill
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/RainLib/AI-Storyboard.git /tmp/AI-Storyboard
mkdir -p .claude/skills
cp -r /tmp/AI-Storyboard/.claude/skills/animator-skill .claude/skills/animator-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Animator Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Animator Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Animator Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Animator Skill

为 Animator 提供创建动态 motion prompts 的专业知识,优化用于 AI 视频生成工作流。

概述

此技能将静态 4 格序列转换为时间运动描述,支持:

  • 主体运动 - 角色动作、表情、姿态
  • 镜头运动 - Pan, Dolly, Crane, Orbit
  • 自然运动 - 风、水、光影
  • 平台优化 - Runway Gen-3, Pika Labs, SVD, AnimateDiff

核心原则

1. 简洁胜于复杂

一个主要动作,而非多个同时动作

❌ 过于复杂:

角色跑forward, 跳过obstacle, 空中旋转, 拔剑, 落地战斗姿态

✅ 专注简洁:

角色跑forward并跳过obstacle, 落地蹲姿。快速节奏。3秒。

2. 物理合理性

时长必须与动作匹配:

  • 3 秒: 转头、拿物体、走 2-3 步
  • 5 秒: 穿过房间、坐下/站起、开门走入
  • ❌ 不现实: "跑 100 米"在 3 秒、"完整战斗"在 5 秒

3. 运动优先,细节其次

简化静态描述,强调运动:

❌ 过度详细 (120+ 词):

A 25-year-old woman with waist-length silver hair, pale skin, violet eyes,
wearing black coat over white shirt and black pants, silver ring on right hand,
walks from left to right...

✅ 运动优先 (25 词):

A woman with silver hair in a black coat walks from left to right across platform.
Steady pace. 4 seconds.

4. 明确运动源

清楚指明什么在动:

  • 主体运动: "Character walks left to right. Camera static."
  • 镜头运动: "Flower static. Camera pans right slowly."
  • 组合: "Runner moves toward camera while camera dollies backward at matching speed."

Motion Prompt 结构模板

[简化主体描述] [主要动作] [方向].
[镜头运动(如有)]. [速度描述]. [时长].

示例:

A woman with silver hair in a crimson coat walks from left to right along
a train platform, wind blowing her hair. Camera pans right to follow her.
Steady walking pace. 5 seconds.

快速开始

步骤 1: 分析 Sequence Board

确定 4 格序列中的关键运动:

  • Frame 1 → Frame 2: 发生了什么变化?
  • 主体移动了吗?镜头移动了吗?
  • 环境有自然运动吗(风、水、光)?

步骤 2: 选择一个主要动作

不要试图描述所有变化,选择最重要的一个。

步骤 3: 指定方向

使用明确的方向性词汇:

  • left to right / right to left
  • toward camera / away from camera
  • background to foreground
  • clockwise / counterclockwise

步骤 4: 选择速度

参考 MOTION_LIBRARY.md 速度指导:

  • 慢速 (4-5 秒): slowly, gradually, gently
  • 中速 (3-4 秒): walks, moves, steady pace
  • 快速 (2-3 秒): quickly, swiftly, rushes

步骤 5: 确定时长

根据平台和运动复杂度:

  • Runway Gen-3: 3-5 秒
  • Pika Labs: 3-4 秒
  • SVD: 2-4 秒
  • AnimateDiff: 1-3 秒

输出约束

严格禁止:

  • ❌ Frontmatter 元数据
  • ❌ 模板说明
  • ❌ 超过 80 词的冗长描述
  • ❌ 多个竞争性动作
  • ❌ 物理上不可能的运动

必须包含:

  • ✅ 40-80 词的简洁描述
  • ✅ 一个清晰的主要动作
  • ✅ 运动方向
  • ✅ 速度/节奏
  • ✅ 时长
  • ✅ 主体 vs 镜头运动的区分

详细资源

方法论指南 📖

  • motion-prompt-methodology.md - Motion prompt 原则
    • 简洁性和专注性
    • 方向性和速度指定
    • 主体与镜头运动区分
    • 视频时长的物理合理性
    • 视频模型优化技术

运动类型库 📖

  • MOTION_LIBRARY.md - 完整运动参考
    • 主体运动库(人物移动、动作、表情)
    • 镜头运动库(Pan、Dolly、Crane、Orbit)
    • 自然运动(风、水、光影)
    • 运动速度指导(慢/中/快)
    • 平台特性和优化(Runway, Pika, SVD, AnimateDiff)
    • 物理合理性检查
    • 常见运动组合示例

模板

何时使用

自动触发场景:

  • 用户请求"生成 motion prompts"
  • 批准的 sequence board 需要转换为视频
  • Director 反馈运动清晰度问题

手动参考场景:

  • 选择合适的运动类型
  • 确定运动速度
  • 优化平台特定格式
  • 检查物理合理性

平台快速选择

  • 复杂运动 → Runway Gen-3
  • 快速生成 → Pika Labs
  • 本地部署 → Stable Video Diffusion
  • 风格化动画 → AnimateDiff

常见错误与解决

❌ 错误: 过于冗长

(120+ words with excessive scene description)

✅ 解决: 简化场景,强调运动 (~25 words)

❌ 错误: 多个动作

角色跑、跳、旋转、拔剑、落地

✅ 解决: 选择一个主要动作

❌ 错误: 方向模糊

角色在房间里移动

✅ 解决: 明确方向 "from background to foreground"


用法: Animator agent 自动引用此技能。方法论和库(标记 📖)采用渐进式披露,仅在需要时查阅。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Animator Skill AI skill do?

Use when converting static image sequences (sequence boards) into motion prompts for AI video generation platforms (Runway, Pika, SVD), or describing temporal movement for video synthesis

Why use Animator Skill on TypingMind?

Because you install it once and use it with any model. Animator Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Animator Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RainLib/AI-Storyboard/tree/main/.claude/skills/animator-skill. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Animator Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Animator Skill?

As many as you like. As long as a model supports skills, you can use Animator Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Animator Skill AI skill free?

Yes. It is published on GitHub by RainLib under the GPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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