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manim-composer马尼姆作曲家

Agent Skill

manim-composer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

29,376

周安装

1,157

GitHub Stars

822

下载量

9,408
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:manim-composer(马尼姆作曲家)
来源仓库:https://github.com/adithya-s-k/manim_skill
仓库路径:skills/manim-composer
安装命令:
npx skills add https://github.com/adithya-s-k/manim_skill --skill manim-composer
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/adithya-s-k/manim_skill --skill manim-composer

简介

在使用 Manim 实施之前,逐场景规划教育数学和科学视频。

  • 进行主题研究,并提出有关观众、视频长度、深度和风格偏好的澄清问题,以塑造叙事
  • 输出综合场景.md
  • 指定每个场景的目的、视觉元素、动画、旁白和技术实施说明的文件
  • 应用 3Blue1Brown 原则,包括渐进式揭示、视觉连续性、节奏变化和数学优雅
  • 设计为规划阶段技能;与 manimce-best-practices 或 manimgl-best-practices 配对以进行实际代码实现

SKILL.md

Workflow

Phase 1: Understand the Concept

  1. Research the topic deeply before asking questions

- Use web search to understand the core concepts - Identify the key insights that make this topic interesting - Find the "aha moment" - what makes this click for learners - Note common misconceptions to address

  1. Identify the narrative hook

- What question does this video answer? - Why should the viewer care? - What's the surprising or counterintuitive element?

Phase 2: Clarify with User

Ask targeted questions (not all at once - adapt based on responses):

Audience & Scope

  • What math/science background should I assume? (e.g., "knows calculus" or "high school algebra")
  • Target video length? (short: 5-10min, medium: 15-20min, long: 30min+)
  • Should this be self-contained or part of a series?

Focus & Depth

  • Any specific aspects to emphasize or skip?
  • Proof-heavy or intuition-focused?
  • Real-world applications to include?

Style Preferences

  • Color scheme preferences?
  • Narration style? (casual, formal, playful)
  • Any specific visual metaphors you have in mind?

Phase 3: Create scenes.md

Output a comprehensive scenes.md file with this structure:

# [Video Title]

## Overview
- **Topic**: [Core concept]
- **Hook**: [Opening question/mystery]
- **Target Audience**: [Prerequisites]
- **Estimated Length**: [X minutes]
- **Key Insight**: [The "aha moment"]

## Narrative Arc
[2-3 sentences describing the journey from confusion to understanding]

---

## Scene 1: [Scene Name]
**Duration**: ~X seconds
**Purpose**: [What this scene accomplishes]

### Visual Elements
- [List of mobjects needed]
- [Animations to use]
- [Camera movements]

### Content
[Detailed description of what happens, what's shown, what's explained]

### Narration Notes
[Key points to convey, tone, pacing notes]

### Technical Notes
- [Specific Manim classes/methods to use]
- [Any tricky implementations to note]

---

## Scene 2: [Scene Name]
...

---

## Transitions & Flow
[Notes on how scenes connect, recurring visual motifs]

## Color Palette
- Primary: [color] - used for [purpose]
- Secondary: [color] - used for [purpose]
- Accent: [color] - used for [purpose]
- Background: [color]

## Mathematical Content
[List of equations, formulas, or mathematical objects that need to be rendered]

## Implementation Order
[Suggested order for implementing scenes, noting dependencies]

3b1b Style Principles

Apply these principles when composing scenes:

Visual Storytelling

  • Show, don't just tell - Every concept needs a visual representation
  • Progressive revelation - Build complexity gradually, don't show everything at once
  • Visual continuity - Transform objects rather than replacing them when possible

Pacing & Rhythm

  • Pause for insight - Give viewers time to absorb key moments
  • Vary the pace - Mix quick sequences with slower explanations
  • End scenes with resolution - Each scene should feel complete

Mathematical Beauty

  • Emphasize elegance - Highlight when math is surprisingly simple or beautiful
  • Connect representations - Show the same concept multiple ways (algebraic, geometric, intuitive)
  • Embrace abstraction gradually - Start concrete, then generalize

Engagement Techniques

  • Pose questions - Make viewers curious before revealing answers
  • Acknowledge difficulty - "This might seem confusing at first..."
  • Celebrate insight - Make the "aha moment" feel earned

References

Templates

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

32.39%
按下载量换算3,047

Gemini CLI

21.61%
按下载量换算2,033

Cursor

20.07%
按下载量换算1,888

OpenCode

12.14%
按下载量换算1,142

Codex

8.08%
按下载量换算760

Antigravity

3.88%
按下载量换算365

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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