Token导航 LogoToken导航

Agent Skill · 前端设计

3d-model-generation(3D 模型生成)

3d-model-generation 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。

3d-model-generation 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,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在前端设计类的 10,216 个 Skill 里排第 1,134。

总安装 7,458周安装 325GitHub Stars 12下载 2,706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:3d-model-generation(3D 模型生成)
来源仓库:https://github.com/eachlabs/skills
仓库路径:skills/3d-model-generation
安装命令:
npx skills add https://github.com/eachlabs/skills --skill 3d-model-generation
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/eachlabs/skills --skill 3d-model-generation

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。

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息的技能。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态或协作事项进行整理。

安装命令:npx skills add https://github.com/eachlabs/skills --skill 3d-model-generation 安装前建议确认权限范围、维护状态及是否会触发联网或文件读写操作。具体用法可结合来源仓库和原始 README 进一步核验。

来源仓库内路径:skills/3d-model-generation

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/eachlabs/skills --skill 3d-model-generation;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

3d-model-generation 怎么安装?

在终端执行 npx skills add https://github.com/eachlabs/skills --skill 3d-model-generation。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

3d-model-generation 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。

3d-model-generation 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

3d-model-generation 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。

3d-model-generation 用的人多吗?

公开数据是累计安装 7,458 次,近一周安装 325 次,下载 2,706 次,GitHub 12 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。

3d-model-generation 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

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
3d-model-generation

3D 模型生成 · 本页

7,45812需要联网未明确有提醒

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

3D Model Generation

Generate production-ready 3D models using each::sense. This skill creates 3D assets from text descriptions or reference images, suitable for games, e-commerce, architecture, product visualization, and more.

Features

  • Text-to-3D: Generate 3D models from natural language descriptions
  • Image-to-3D: Convert 2D images into 3D models
  • Character Models: Create humanoid and creature 3D characters
  • Product Models: E-commerce ready product 3D assets
  • Environment/Scene: Generate 3D environments and landscapes
  • Game Assets: Low-poly and stylized game-ready models
  • Furniture: Interior design and home decor 3D models
  • Vehicles: Cars, aircraft, and transportation 3D assets
  • Architecture: Buildings, structures, and architectural elements
  • PBR Textures: Generate physically-based rendering textures for 3D models

Quick Start

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a 3D model of a medieval treasure chest with gold trim and iron locks"}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

Output Formats

FormatExtensionUse Case
GLB.glbUniversal format, web/AR/VR, Unity, Unreal
GLTF.gltfWeb applications, three.js
OBJ.objLegacy support, 3D printing
FBX.fbxAnimation, game engines
USDZ.usdzApple AR Quick Look

Use Case Examples

1. Text-to-3D Model Generation

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a 3D model of a futuristic sci-fi helmet with glowing blue visor and matte black finish. High detail, suitable for game assets."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

2. Image-to-3D Conversion

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Convert this product image into a 3D model. Maintain accurate proportions and surface details for e-commerce use."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max",
    "image_urls": ["https://example.com/product-image.jpg"]
  }'

3. Character 3D Model

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a 3D character model of a fantasy warrior elf with ornate silver armor, long pointed ears, and a flowing cape. T-pose, game-ready topology."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

4. Product 3D Model

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Generate a 3D model of a premium wireless headphone. Matte black with rose gold accents, leather ear cushions. High detail for product visualization and AR try-on."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

5. Environment/Scene 3D

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a 3D environment scene of a Japanese zen garden with a stone pathway, bamboo fence, koi pond, and cherry blossom trees. Stylized low-poly aesthetic for mobile games."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

6. Game Asset 3D Model

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a low-poly 3D game asset pack: a wooden crate, barrel, torch, and treasure chest. Stylized textures, optimized for real-time rendering, under 5000 triangles each."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "eco"
  }'

7. Furniture 3D Model

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Generate a 3D model of a mid-century modern armchair. Walnut wood frame with teal velvet upholstery. Realistic materials for interior design visualization and AR placement."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

8. Vehicle 3D Model

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a 3D model of a vintage 1960s muscle car. Cherry red metallic paint, chrome details, whitewall tires. High detail exterior suitable for automotive visualization."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

9. Architecture 3D Model

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Generate a 3D architectural model of a modern minimalist house. Two stories, large glass windows, flat roof, concrete and wood exterior. Include surrounding landscape."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

10. PBR Texture Generation for 3D

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Generate PBR texture maps for weathered bronze metal. Include albedo, normal, roughness, metallic, and ambient occlusion maps. 2K resolution, tileable."}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "max"
  }'

Best Practices

Model Quality

  • Be specific: Include material types (metal, wood, fabric), surface finish (matte, glossy), and style (realistic, stylized, low-poly)
  • Specify use case: Mention if it's for games (optimized), AR/VR, 3D printing, or visualization
  • Include scale reference: Describe size when relevant for proper proportions

Topology Guidelines

  • Game-ready: Request optimized polygon count and clean topology
  • Animation-ready: Specify T-pose for characters, request proper edge loops
  • 3D printing: Ask for watertight meshes and manifold geometry

Texture Quality

  • PBR materials: Request specific texture maps (albedo, normal, roughness, metallic, AO)
  • Resolution: Specify texture resolution (1K, 2K, 4K) based on use case
  • Tileable: Request seamless/tileable textures for repeating surfaces

Prompt Tips for 3D Generation

When creating 3D models, include these details in your prompt:

  1. Object description: What is the object? Be specific about type and style
  2. Materials: What materials make up the object? (metal, wood, plastic, fabric)
  3. Surface finish: Matte, glossy, brushed, weathered, etc.
  4. Style: Realistic, stylized, low-poly, cartoon, photorealistic
  5. Use case: Game asset, product visualization, AR, 3D printing
  6. Technical specs: Polygon count, texture resolution if needed

Example Prompt Structure

"Create a 3D model of [object description] with [materials/colors].
Style: [realistic/stylized/low-poly].
Use case: [game/AR/visualization/printing].
[Additional requirements like texture maps, polygon count, etc.]"

Mode Selection

Ask your users before generating:

"Do you want fast & cheap, or high quality?"

ModeBest ForSpeedQuality
maxFinal production assets, hero models, product shotsSlowerHighest
ecoQuick prototypes, concept exploration, bulk generationFasterGood

Multi-Turn 3D Model Iteration

Use session_id to iterate on 3D models:

# Initial model
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a 3D model of a fantasy sword with dragon motifs"}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "sword-project-001"
  }'

# Iterate based on feedback
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Add more intricate engravings on the blade and make the dragon head on the hilt more prominent"}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "sword-project-001"
  }'

# Request variations
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create 2 more variations: one with ice theme and one with fire theme"}],
    "model": "eachsense/beta",
    "stream": true,
    "session_id": "sword-project-001"
  }'

Batch Asset Generation

Generate multiple 3D assets for a project:

# Asset 1 - Props
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a 3D model of a medieval wooden tavern table with benches"}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "eco",
    "session_id": "medieval-tavern-pack"
  }'

# Asset 2 - Environment piece
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create a 3D model of a stone fireplace with crackling fire effect placeholder"}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "eco",
    "session_id": "medieval-tavern-pack"
  }'

# Asset 3 - Decorative
curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "messages": [{"role": "user", "content": "Create 3D models of tavern decorations: hanging lantern, wall-mounted deer head, and wooden mug"}],
    "model": "eachsense/beta",
    "stream": true,
    "mode": "eco",
    "session_id": "medieval-tavern-pack"
  }'

Error Handling

ErrorCauseSolution
Failed to create prediction: HTTP 422Insufficient balanceTop up at eachlabs.ai
Content policy violationProhibited contentAdjust prompt to comply with content policies
TimeoutComplex generationSet client timeout to minimum 10 minutes
Invalid image URLUnreachable imageEnsure image URL is publicly accessible

Related Skills

  • each-sense - Core API documentation
  • product-photo-generation - Product photography and visualization
  • image-generation - 2D image generation for reference images

平台分布

Codex

36.6%
按下载量换算990

Claude

28.69%
按下载量换算776

Cursor

21.03%
按下载量换算569

Gemini CLI

9.88%
按下载量换算267

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills