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3d-model-generation3D 模型生成

Agent Skill

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。

总安装

7,458

周安装

325

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12

下载量

2,706
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

2

许可证

unknown

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: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

简介

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。

SKILL.md

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

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

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

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

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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