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3d-cog3d 齿轮

Agent Skill

3d-cog 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。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

57,393

周安装

2,375

GitHub Stars

3

下载量

19,085
OpenClaw

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

MIT-0

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-cog(3d 齿轮)
来源仓库:https://github.com/nitishgargiitd/3d-cog
安装命令:
openclaw skills install 3d-cog
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install 3d-cog

简介

由 CellCog 驱动的文本与图像转 3D 模型服务。

  • 输出生产就绪 GLB 文件用于游戏与 AR/VR。
  • 适用于电商展示与 3D 打印预处理。
  • 需确认输入图像质量与尺寸要求。3d-cog 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 建议检查网格拓扑是否适合后续加工。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
3d-cog
description
AI 3D model generation powered by CellCog. Text-to-3D, image-to-3D — production-ready GLB files for games, AR/VR, e-commerce, and 3D printing. Game assets, product visualization, characters, props, environments, and batch generation.
metadata
openclaw
emoji
💎
os
[darwin, linux, windows]
requires
bins
[python3]
env
[CELLCOG_API_KEY]
author
CellCog
homepage
https://cellcog.ai
dependencies
[cellcog]

3D Cog - Turn Ideas Into 3D Models

3D model generation from text descriptions or reference images.

Most 3D generation tools need a single, perfectly composed reference image. CellCog takes *anything* — a text description, a rough sketch, a product photo, even a spreadsheet of 50 items — and handles the entire pipeline: reasoning about what you need, generating optimized reference images, and converting them into production-ready GLB files.

How to Use

For your first CellCog task in a session, read the cellcog skill for the full SDK reference — file handling, chat modes, timeouts, and more.

OpenClaw (fire-and-forget):

result = client.create_chat(
    prompt="[your task prompt]",
    notify_session_key="agent:main:main",
    task_label="my-task",
    chat_mode="agent",
)

All agents except OpenClaw (blocks until done):

from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
    prompt="[your task prompt]",
    task_label="my-task",
    chat_mode="agent",
)
print(result["message"])

What Makes This Different

Any Input → 3D

The power of CellCog isn't image-to-3D — everyone does that. The power is any-to-any.

What You SendWhat CellCog DoesWhat You Get
Text descriptionReasons about the object → generates optimized reference image → converts to 3DProduction-ready GLB
Rough sketchEnhances into a clean, detailed reference → converts to 3DProduction-ready GLB
Product photoAssesses quality, enhances if needed → converts to 3DProduction-ready GLB
High-quality concept artConverts directly to 3DProduction-ready GLB
List of 10 itemsGenerates 10 reference images → converts all to 3D10 GLB files

Batch Generation

Need 10 low-poly weapons for your RPG? 20 furniture models for your room designer? 50 product models for your e-commerce catalog?

One prompt. Multiple 3D models. CellCog's agents generate each reference image with the right composition, angle, and detail level — then convert each to a textured 3D model.

prompt = """
Create 3D models (GLB format) for these 5 fantasy weapons:
1. Enchanted longsword with blue crystal blade
2. Dwarven war hammer with rune inscriptions
3. Elven bow with living vine decorations
4. Shadow dagger with smoke effects on the blade
5. Holy mace with golden sunburst head

Low poly (~10,000 polygons each), game-ready, with PBR materials.
"""

What You Can Create

Game Assets

  • Characters: Heroes, NPCs, enemies, bosses
  • Weapons: Swords, bows, staffs, shields, guns
  • Props: Furniture, treasure chests, potions, tools
  • Vehicles: Cars, spaceships, boats, mounts
  • Environment pieces: Trees, rocks, buildings, bridges

Product Visualization

  • E-commerce 3D viewers: Let customers rotate and inspect products
  • Product prototypes: Visualize designs before manufacturing
  • Packaging mockups: 3D packaging for marketing materials

AR/VR Objects

  • AR filters and objects: Place 3D objects in real environments
  • VR environments: Furnish virtual spaces with custom objects
  • Interactive experiences: Objects users can inspect and interact with

3D Printing

  • Figurines and miniatures: Tabletop gaming pieces, collectibles
  • Functional objects: Custom tools, brackets, cases
  • Architectural models: Building miniatures, terrain pieces

Education & Training

  • Anatomical models: Organs, skeletal systems, molecular structures
  • Historical artifacts: Museum-quality digital replicas
  • Engineering models: Mechanical parts, assembly visualizations

Output Format

All 3D models are delivered as GLB files (binary glTF) — the universal web standard for 3D:

  • Supported by Unity, Unreal, Godot, Three.js, Babylon.js
  • Works in web browsers via <model-viewer> or Three.js
  • Compatible with Blender, Maya, 3ds Max for further editing
  • Includes textures and materials in a single file

Chat Mode for 3D

ScenarioRecommended Mode
Single 3D object from a clear description or image"agent"
Batch generation (5-20 objects from a list)"agent"
Complex game asset pipeline with style consistency"agent team"

Use "agent" for most 3D work. It handles everything from single objects to batch generation.

Use "agent team" when you need cross-asset consistency — like generating a full set of fantasy weapons that all share the same art style, or building a complete room of furniture that matches a design language.


Example Prompts

Single object from description:

"Create a 3D model of a steampunk pocket watch with exposed brass gears, an etched glass face, and a chain attachment. GLB format, high detail."

From a reference image:

"Convert this product photo into a 3D model for our online store: <SHOW_FILE>/photos/sneaker_product.png</SHOW_FILE> Output as GLB, enable PBR materials for realistic rendering."

Batch generation:

"Generate 3D models for these 8 pieces of modern furniture: 1. Minimalist sofa (3-seater, light gray) 2. Round coffee table (walnut wood, glass top) 3. Floor lamp (arc style, brass finish) 4. Bookshelf (5 tiers, oak wood) 5. Dining chair (Scandinavian, white) 6. Side table (concrete, cylindrical) 7. Desk (standing desk, white with birch legs) 8. TV console (low profile, dark walnut) All low-poly (~15,000 polygons), with PBR materials. GLB format."

From a rough sketch:

"Here's my rough sketch of a robot character: <SHOW_FILE>/sketches/robot_concept.jpg</SHOW_FILE> Turn this into a polished 3D model. It's a friendly service robot — round body, simple limbs, LED face display. Style: Overwatch/Pixar clean 3D. Output as GLB."

Game asset set:

"I'm building a dungeon crawler. Create 3D models for these dungeon props: - Wooden treasure chest (open and closed variants) - Iron torch holder with flame - Stone altar with carved runes - Wooden barrel (intact and broken) - Skull pile Style: Dark fantasy, hand-painted textures. Low poly for mobile game (~8,000 polygons each)."

Tips for Better 3D Models

  1. Be specific about materials: "brushed aluminum", "aged leather", "polished marble" — CellCog uses these to generate better reference images and textures.
  1. Specify your target platform: "low-poly for mobile game" vs "high-detail for cinematic render" changes the approach completely.
  1. Send reference images when possible: Even imperfect references give CellCog a head start over pure text descriptions.
  1. For batch jobs, describe style once: "All in a cohesive hand-painted fantasy style" keeps your assets consistent.
  1. Request PBR materials for realism: If you need metallic, roughness, and normal maps — say so. Essential for game engines and realistic rendering.

If CellCog is not installed

Run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool) to install and authenticate. OpenClaw users: Run clawhub install cellcog instead. Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.

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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。

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安装前确认

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