Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
3d-cog
Convert any input—text, sketches, photos, or lists—into optimized, production-ready 3D GLB models for games, AR/VR, e-commerce, and 3D printing.
skill openclawclawhub Free
Convert any input—text, sketches, photos, or lists—into optimized, production-ready 3D GLB models for games, AR/VR, e-commerce, and 3D printing.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- nitishgargiitd
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
3D Cog - Turn Ideas Into 3D Models
Other tools need perfect images. CellCog turns ideas into 3D models. 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.
Prerequisites
This skill requires the cellcog skill for SDK setup and API calls. clawhub install cellcog Read the cellcog skill first for SDK setup. This skill shows you what's possible. Quick pattern (v1.0+): # Fire-and-forget - returns immediately result = client.create_chat( prompt="[your 3D generation request]", notify_session_key="agent:main:main", task_label="3d-gen", chat_mode="agent" ) # Daemon notifies you when complete - do NOT poll
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 GetText descriptionReasons about the object → generates optimized reference image → converts to 3DProduction-ready GLBRough sketchEnhances into a clean, detailed reference → converts to 3DProduction-ready GLBProduct photoAssesses quality, enhances if needed → converts to 3DProduction-ready GLBHigh-quality concept artConverts directly to 3DProduction-ready GLBList 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. """
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 ModeSingle 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: Minimalist sofa (3-seater, light gray) Round coffee table (walnut wood, glass top) Floor lamp (arc style, brass finish) Bookshelf (5 tiers, oak wood) Dining chair (Scandinavian, white) Side table (concrete, cylindrical) Desk (standing desk, white with birch legs) 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
Be specific about materials: "brushed aluminum", "aged leather", "polished marble" — CellCog uses these to generate better reference images and textures. Specify your target platform: "low-poly for mobile game" vs "high-detail for cinematic render" changes the approach completely. Send reference images when possible: Even imperfect references give CellCog a head start over pure text descriptions. For batch jobs, describe style once: "All in a cohesive hand-painted fantasy style" keeps your assets consistent. Request PBR materials for realism: If you need metallic, roughness, and normal maps — say so. Essential for game engines and realistic rendering.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md