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Agent Skill · 前端设计

manim-idea-to-export(要导出的马尼姆想法)

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。它适合让 Agent 生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构,或定位布局和性能问题。使用时需要结合项目现有设计系统、路由和构建方式,避免只生成孤立片段;涉及页面改动时,应配合本地预览和构建检查确认视觉效果。

manim-idea-to-export 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 8,138。

总安装 312周安装 13GitHub Stars 16下载 104核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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-idea-to-export(要导出的马尼姆想法)
来源仓库:https://github.com/skheiller/manim-community-deep-skill
仓库路径:skills/manim-idea-to-export
安装命令:
npx skills add https://github.com/skheiller/manim-community-deep-skill --skill manim-idea-to-export
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/skheiller/manim-community-deep-skill --skill manim-idea-to-export

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。适合生成或审查 React、Next.js、Vue、Tailwind、CSS 等代码。使用时需结合项目现有设计系统和构建方式。涉及页面改动时应配合本地预览和构建检查确认效果。

manim-idea-to-export 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/manim-idea-to-export

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/skheiller/manim-community-deep-skill --skill m…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

manim-idea-to-export 怎么安装?

在终端执行 npx skills add https://github.com/skheiller/manim-community-deep-skill --skill manim-idea-…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

manim-idea-to-export 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

manim-idea-to-export 需要什么权限?

权限级别是只读。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。

manim-idea-to-export 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

manim-idea-to-export 用的人多吗?

公开数据是累计安装 312 次,近一周安装 13 次,下载 104 次,GitHub 16 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

manim-idea-to-export 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
manim-idea-to-export

要导出的马尼姆想法 · 本页

31216只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Manim Idea to Export

Overview

Use this skill to turn user text ideas into production-ready ManimCE output through a strict pipeline:

  1. parse idea text,
  2. map to scene plan,
  3. generate Manim code,
  4. render and fix,
  5. export final media.

Prefer this skill for requests like “animate this explanation”, “turn this paragraph into a video”, or “convert these bullet points into Manim and export”.

Idea-to-Export Workflow

  1. Intake and normalize intent.
  • Extract objective, audience, visual style, duration target, and output format.
  • Resolve ambiguity by making minimal explicit assumptions in code comments or summary.
  • If user requests “beautiful”, “clean”, “cinematic”, or “3B1B-like”, apply the visual clarity and pacing playbook.
  • Unless user asks for minimal motion, apply the animation philosophy directives by default.
  1. Preflight mini-blueprint + preference handshake (required on first pass).
  • Return a short mini blueprint (about 4-7 bullets, high-level only).
  • Ask focused preference questions before detailed planning:
  • visual theme (dark/light/custom),
  • motion intensity (calm/medium/high),
  • camera behavior (no zoom / selective zoom-pan / cinematic),
  • 2D vs 3D usage,
  • pacing preference (slow/readable vs faster/condensed),
  • style target (3B1B-like vs clean-minimal vs other),
  • desired duration range.
  • If user does not answer, choose conservative defaults and state them.
  • Do not start full code generation until the user confirms or explicitly says “proceed”.
  1. Build detailed scene blueprint from confirmed preferences.
  • Convert narrative into ordered beats.
  • For each beat define: on-screen objects, transition, duration, and emphasis.
  • Split into one or more Scene classes if conceptually distinct.
  • For process diagrams, define directed dependencies and a topological animation order before writing code.
  • Include a reflow plan per beat: what moves/shrinks/fades to create space for incoming objects.
  • Include camera intent per beat (hold, pan, zoom in, zoom out) when layout is dense.
  1. Generate runnable ManimCE code.
  • Use from manim import *.
  • Keep construct() orchestration-focused.
  • Use helper builders for repeated objects/layouts.
  • Add layout guard helpers for text-fit, label-fit, and collision-safe spacing.
  • Prefer transformations over object spawning when provenance can be shown.
  • Use ValueTracker/always_redraw for interdependent visuals instead of disconnected static states.
  1. Render in a fast feedback loop.
  • Layout check: -ql -s
  • Timing check: -ql -n a,b
  • Preview export (required): -ql -p (480p preview pass)
  • Final export: -qh (or higher as needed) only after user confirmation on preview
  • Add an overlap pass: verify no text overflows containers and no labels collide with arrows/axes.
  • Add a movement pass: verify the scene is not visually static and includes purposeful transitions between beats.
  • Add a frame-fit pass: verify all active content stays within visible frame margins.
  1. Export and report deliverables.
  • Return exact render command used.
  • Return output path(s) and file format.
  • Note assumptions and next tweak knobs (timing/style/text density).
  • Always show preview artifact first and ask for confirmation before high-quality export.

Implementation Contract

For every idea-to-code request, produce:

  • Mini blueprint + preference questions (first pass) or a note that preferences were previously confirmed.
  • Scene class code implementing the described idea.
  • A suggested file location (for example scenes/idea_scene.py).
  • A concrete render command.
  • The expected output location/filename.
  • A short “edit knobs” list (what to change for speed/style/detail).
  • A short pacing rationale (why key beats are fast/slow).
  • A short layout-fit note (how text/labels were constrained to avoid overflow/clutter).
  • A short logic-order note for process flows (for example: L1->L2 then L2->L3).
  • A short motion rationale (where transformations, tracker-driven motion, and camera moves were used).

Code Quality Rules

  • Use semantic names (claim_text, curve_group, highlight_box).
  • Favor composable primitives (VGroup, Axes, MathTex, Text, Transform).
  • Keep updaters minimal and scoped.
  • Avoid hidden global mutation.
  • Ensure every visual beat is intentional and readable.
  • Make pacing explicit for key beats (run_time, rate_func, and pauses), not implicit defaults.
  • Default to a clean dark scene (config.background_color = "#000000" unless the user requests otherwise).
  • Never leave raw overflow: scale/wrap/reflow text to container width before rendering.
  • Keep scene content centered and frame-safe (no critical content outside visible bounds).
  • Keep arrow labels outside arrowheads and with consistent buffer, then resolve collisions.
  • Avoid low-motion output: each explanatory beat should include meaningful motion unless intentionally a pause beat.
  • Before introducing new objects, create spatial room by moving/reframing existing content.
  • Use semantic color mapping consistently across equations and matching visual objects.
  • Keep text on screen long enough to read using a words-per-minute pacing rule.
  • Treat confirmed user preferences as locked constraints unless user asks to change them.

Environment Assumptions

  • Target runtime is Manim Community Edition (manim), not manimgl.
  • Assume a project-local virtual environment is active before render commands are run.
  • For Tex/MathTex, assume latex and dvisvgm are required.
  • Assume ffmpeg is required for video export.

Execution Boundaries

  • Keep command guidance scoped to the current workspace/project path.
  • Do not suggest destructive commands (for example force-delete, history rewrite, or reset-hard flows).
  • Do not suggest global dependency mutation unless the user explicitly asks for global installation.
  • If required tooling is missing, stop and return concrete remediation commands before proceeding.

Safety and Validation

  • Keep commands non-destructive and scoped to the current project.
  • Prefer deterministic commands and explicit paths in export guidance.
  • Validate syntax/runtime with at least one render pass before final handoff.
  • When TeX is used, verify latex and dvisvgm availability or report a concrete remediation command.

Export Rules

  • Default output: mp4 unless user asks otherwise.
  • Use transparent renders only when explicitly required (-t).
  • If user asks for preview artifacts, include still frame via -s.
  • For multiple sections, use next_section() and --save_sections where useful.
  • Always render a preview pass first with -ql (480p-equivalent workflow) and share it.
  • Do not run -qm/-qh final export until the user confirms the preview.

Failure Handling

  1. If Tex/MathTex fails, fix LaTeX toolchain first (latex, dvisvgm).
  2. If rendering is slow, reduce quality and isolate animation ranges.
  3. If visuals are cluttered, reduce simultaneous motion and split into more beats.
  4. If text or labels collide/overflow, rerun with stricter fit constraints and spacing buffers.
  5. If process logic appears out of order, enforce staged dependency animation (no downstream motion before upstream state exists).
  6. If output feels static, add tracker-driven motion, transformation continuity, and camera emphasis beats.
  7. If content is off-screen or not centered, reflow groups and camera framing before any final export.
  8. If style or preference fit is unclear, pause after mini blueprint and ask targeted preference questions.

References

Load only what is needed.

  • references/idea-to-scene-blueprint.md
  • references/code-generation-patterns.md
  • references/render-and-export-playbook.md
  • references/quality-checklist.md
  • references/visual-clarity-and-aesthetics.md
  • references/logic-and-layout-guardrails.md
  • references/animation-philosophy-directives.md
  • references/preflight-brief-and-preferences.md
  • references/troubleshooting.md

平台分布

Codex

35.48%
按下载量换算37

Claude

30.05%
按下载量换算31

Cursor

18.44%
按下载量换算19

Gemini CLI

9.32%
按下载量换算10

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。目前只有一个公开来源,建议同时核对源仓库。

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