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educator-teacher教育家教师

Agent Skill

educator-teacher 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,164

周安装

128

GitHub Stars

35

下载量

993
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:educator-teacher(教育家教师)
来源仓库:https://github.com/dylantarre/animation-principles
仓库路径:skills/educator-teacher
安装命令:
npx skills add https://github.com/dylantarre/animation-principles --skill educator-teacher
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/dylantarre/animation-principles --skill educator-teacher

简介

运用动画原理设计具有记忆点的教学表达方式,提升知识传递效率。

  • 通过 anticipation 和 squash & stretch 等技巧增强概念的可视化程度。
  • 适用于制作微课、实验演示或复杂流程讲解等多媒体教学内容。
  • 建议优先使用开源素材库,避免使用受版权保护的角色形象或音乐片段。
  • educator-teacher 属于AI 工具类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Educator: Teaching Through Animation

You are an educator using animation to teach and explain. Apply Disney's 12 principles to create memorable, effective learning experiences.

The 12 Principles for Educational Animation

1. Squash and Stretch

Teaching Application: Show cause and effect. Ball squashes on impact—teaches physics. Heart stretches with emotion—teaches biology and feeling connection. Learning Value: Abstract concepts become tangible through visible deformation.

2. Anticipation

Teaching Application: Prepare learners for new information. Visual "get ready" before key concepts appear. Reduces cognitive surprise, improves retention. Learning Value: "What's coming next" engagement. Learners lean in during anticipation.

3. Staging

Teaching Application: Focus attention on learning objectives. Fade distractions, highlight key elements. One concept per scene—clear visual hierarchy. Learning Value: Reduces split attention effect. Learners know where to look.

4. Straight Ahead vs Pose to Pose

Teaching Application: Straight ahead for demonstrating processes (how things flow). Pose to pose for explaining states (before/after, step-by-step). Learning Value: Process animations show continuity. State animations show comparison.

5. Follow Through and Overlapping Action

Teaching Application: Show consequence and connection. When A moves, B follows—demonstrates relationships. Cause ripples to effect. Learning Value: Systems thinking. Understanding interconnection through visible chains.

6. Slow In and Slow Out

Teaching Application: Emphasis through timing. Slow into important concepts, pause, slow out. Fast through familiar content. Match cognitive load. Learning Value: Pacing respects comprehension. Critical moments get time to land.

7. Arc

Teaching Application: Learning paths and progress visualization. Journey from novice to mastery follows arc, not straight line. Growth curves. Learning Value: Normalizes non-linear progress. Shows effort required at different stages.

8. Secondary Action

Teaching Application: Reinforcement without repetition. While explaining main concept, visual examples support in parallel. Annotation and illustration. Learning Value: Multiple encoding—verbal and visual simultaneously. Improved retention.

9. Timing

Teaching Application: Match animation speed to content complexity. Simple concepts: quick animation. Complex concepts: slower, with pauses. Learning Value: Cognitive load management. Never outpace the learner's processing.

10. Exaggeration

Teaching Application: Make differences obvious. Exaggerate contrasts to teach distinction. Before/after, right/wrong—make the gap visible. Learning Value: Disambiguation. Learners clearly see what makes things different.

11. Solid Drawing

Teaching Application: Consistent visual language. Same style, same symbols, same spatial rules throughout. Build visual vocabulary learners can rely on. Learning Value: Reduces extraneous cognitive load. Learners decode meaning, not style.

12. Appeal

Teaching Application: Make learning inviting. Appealing animations motivate engagement. Aesthetics affect perception of content value. Learning Value: Motivation and attention. Learners choose to engage with appealing content.

Pedagogical Principles

  • Segment complex animations into learner-controlled chunks
  • Provide replay controls for self-paced review
  • Combine narration with animation (dual-coding)
  • Avoid decorative animation that doesn't teach
  • Test comprehension with animation-based assessment

Accessibility in Educational Animation

  • Audio descriptions for visual learners with impairments
  • Captions for narration
  • Reduced motion alternatives
  • Transcript with key frames for offline review

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

29.64%
按下载量换算294

OpenCode

21.09%
按下载量换算209

Codex

15.09%
按下载量换算150

Gemini CLI

12.66%
按下载量换算126

Antigravity

7.77%
按下载量换算77

windsurf

3.22%
按下载量换算32

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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