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Agent Skill · 前端设计

vroid(vroid 命令行)

vroid 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。

vroid 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 9,297。

总安装 220周安装 9GitHub Stars 4下载 71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:vroid(vroid 命令行)
来源仓库:https://github.com/davincidreams/agent-team-plugins
仓库路径:skills/vroid
安装命令:
npx skills add https://github.com/davincidreams/agent-team-plugins --skill vroid
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/davincidreams/agent-team-plugins --skill vroid

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。

vroid 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 中围绕仓库状态、代码变更或协作事项进行整理。通过 npx skills add 命令从指定仓库安装,需结合原始 README 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。vroid 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/vroid

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/davincidreams/agent-team-plugins --skill vroid;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

vroid 怎么安装?

在终端执行 npx skills add https://github.com/davincidreams/agent-team-plugins --skill vroid。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

vroid 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。

vroid 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。

vroid 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。

vroid 用的人多吗?

公开数据是累计安装 220 次,近一周安装 9 次,下载 71 次,GitHub 4 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。

vroid 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
vroid

vroid 命令行 · 本页

2204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

Vroid Studio

Vroid Studio Fundamentals

Vroid Studio Overview

  • Application: VRoid Studio for creating 3D avatars
  • VRM Format: Export avatars in VRM format for VTuber applications
  • Character Customization: Extensive customization options for avatars
  • Real-Time Preview: Preview avatars in real-time
  • Export: Export to VRM format for VTuber software
  • Free to Use: Free application for personal and commercial use

Vroid Studio Interface

  • Customize Tab: Customize avatar appearance
  • Outfit Tab: Customize outfit and accessories
  • Pose Tab: Set avatar pose and expression
  • Background Tab: Customize background
  • Export Tab: Export avatar to VRM format
  • Preview: Real-time preview of avatar

Avatar Customization

  • Face: Customize face shape, eyes, eyebrows, nose, mouth
  • Hair: Customize hairstyle, color, accessories
  • Body: Customize body shape, height, proportions
  • Skin: Customize skin tone, texture
  • Outfit: Customize outfit, accessories
  • Expressions: Create facial expressions

VRM (Virtual Reality Model) Format

VRM Overview

  • Format: Open format for 3D avatars in VR/AR applications
  • Compatible: Compatible with various VTuber applications
  • Standard: Based on glTF 2.0 standard
  • Extensions: VRM-specific extensions for avatar features
  • Metadata: Includes avatar metadata and licensing
  • Cross-Platform: Works across multiple platforms

VRM Features

  • Blendshapes: Facial expressions and lip sync
  • Bone Structure: Standardized bone structure for animation
  • Physics: Physics for hair, clothing, and accessories
  • Materials: PBR materials for realistic rendering
  • Metadata: Avatar metadata and licensing information
  • First Person: First-person view settings

VRM Compatibility

  • VSeeFace: Popular VTuber software
  • Luppet: VTuber software for macOS
  • VMagicMirror: VTuber software for Windows
  • VRChat: Social VR platform
  • VRoid Hub: Platform for sharing VRM avatars
  • Custom Applications: Custom VTuber applications

Live2D and VRM Setup for Streaming

Live2D vs VRM

  • Live2D: 2D animated characters
  • VRM: 3D animated characters
  • Live2D Advantages: Lower performance cost, simpler setup
  • VRM Advantages: More expressive, 3D movement
  • Live2D Use Cases: VTubers with 2D art style
  • VRM Use Cases: VTubers with 3D art style

Live2D Setup

  • Live2D Cubism: Create Live2D models
  • Live2D Viewer: Preview Live2D models
  • Face Tracking: Configure face tracking for Live2D
  • Motion Capture: Configure motion capture for Live2D
  • Streaming Software: Integrate with streaming software
  • Performance: Optimize for real-time streaming

VRM Setup

  • Vroid Studio: Create VRM avatars
  • VRM Import: Import VRM into VTuber software
  • Face Tracking: Configure face tracking for VRM
  • Motion Capture: Configure motion capture for VRM
  • Streaming Software: Integrate with streaming software
  • Performance: Optimize for real-time streaming

Face Tracking Integration

Face Tracking Technologies

  • Webcam-Based: Use webcam for face tracking
  • Face ID: Use Face ID for face tracking (iOS)
  • Depth Camera: Use depth camera for accurate tracking
  • Marker-Based: Use markers for tracking
  • Machine Learning: Use ML for face tracking
  • Hybrid: Combine multiple tracking methods

VSeeFace Setup

  • Import VRM: Import VRM avatar into VSeeFace
  • Camera Setup: Configure camera for face tracking
  • Tracking Settings: Configure face tracking settings
  • Expression Mapping: Map facial movements to avatar expressions
  • Lip Sync: Configure lip sync for audio
  • Performance: Optimize for real-time streaming

Luppet Setup

  • Import VRM: Import VRM avatar into Luppet
  • Camera Setup: Configure camera for face tracking
  • Tracking Settings: Configure face tracking settings
  • Expression Mapping: Map facial movements to avatar expressions
  • Lip Sync: Configure lip sync for audio
  • Performance: Optimize for real-time streaming

Other VTuber Software

  • VMagicMirror: Windows VTuber software
  • VRChat: Social VR platform with VRM support
  • VRoid Hub: Platform for sharing VRM avatars
  • Custom Applications: Custom VTuber applications
  • Streaming Integration: Integrate with OBS, Streamlabs, etc.

VTuber Motion Capture

Motion Capture Technologies

  • Face Tracking: Track facial movements
  • Body Tracking: Track body movements
  • Hand Tracking: Track hand movements
  • Eye Tracking: Track eye movements
  • Lip Sync: Sync lip movements to audio
  • Full Body: Full body motion capture

Motion Capture Setup

  • Camera Setup: Configure camera for tracking
  • Lighting: Ensure good lighting for tracking
  • Background: Use plain background for better tracking
  • Calibration: Calibrate tracking for accuracy
  • Performance: Optimize for real-time streaming
  • Testing: Test tracking before streaming

Motion Capture Best Practices

  • Lighting: Ensure good, even lighting
  • Background: Use plain, contrasting background
  • Distance: Maintain optimal distance from camera
  • Movement: Practice natural movements
  • Calibration: Calibrate regularly for accuracy
  • Testing: Test before streaming

Avatar Customization and Accessories

Avatar Customization

  • Face: Customize face shape, features
  • Hair: Customize hairstyle, color, accessories
  • Body: Customize body shape, proportions
  • Outfit: Customize outfit, accessories
  • Expressions: Create facial expressions
  • Animations: Add custom animations

Accessories

  • Hair Accessories: Hair clips, ribbons, etc.
  • Clothing: Outfits, costumes, accessories
  • Props: Handheld props, items
  • Effects: Particle effects, lighting
  • Physics: Add physics to accessories
  • Custom: Create custom accessories

Advanced Customization

  • Custom Textures: Create custom textures
  • Custom Models: Import custom models
  • Custom Animations: Create custom animations
  • Custom Physics: Create custom physics
  • Custom Materials: Create custom materials
  • Custom Effects: Create custom effects

VRM Export and Optimization

Export Settings

  • VRM Format: Export in VRM format
  • Texture Resolution: Set appropriate texture resolution
  • Mesh Quality: Set appropriate mesh quality
  • Physics: Configure physics for hair, clothing
  • Metadata: Add metadata and licensing
  • Preview: Preview before export

Optimization

  • Polygon Count: Reduce polygon count for performance
  • Texture Resolution: Reduce texture resolution for performance
  • Physics: Optimize physics for performance
  • Materials: Optimize materials for performance
  • File Size: Reduce file size for faster loading
  • Performance: Optimize for real-time streaming

Platform-Specific Optimization

  • VSeeFace: Optimize for VSeeFace
  • Luppet: Optimize for Luppet
  • VMagicMirror: Optimize for VMagicMirror
  • VRChat: Optimize for VRChat
  • Custom: Optimize for custom applications
  • Web: Optimize for web applications

平台分布

Codex

35.31%
按下载量换算25

Claude

33.94%
按下载量换算24

Cursor

18.97%
按下载量换算13

Gemini CLI

9.42%
按下载量换算7

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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