Agent skill · Data & Analytics

hot3d

HOT3D (Hand-Object 3D Dataset) by Meta Facebook - multi-view egocentric hand and object 3D tracking for Aria/Quest smart glasses. State-of-the-art multi-view 3D hand pose, object pose, and hand-object interaction tracking. Supports visualization with 3D joint projections, meshes, and skeletal overlays on video frames.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill hot3d --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/labclaw/hot3d/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# HOT3D - Multi-View 3D Hand & Object Tracking ## Overview State-of-the-art multi-view 3D tracking system for egocentric hand-object interactions from Meta Facebook Research. Designed for Aria smart glasses and Quest VR headsets, HOT3D provides precise 3D world coordinates for hand joints, manipulated objects, and their interactions. The system includes visualization tools for rendering 3D overlays on video frames with joint projections, hand meshes, and object models. **Project page**: https://facebookresearch.github.io/hot3d **Best for**: Research-grade 3D tracking with multi-camera setups, high-precision applications, and XR device integration. ## When to Use This Skill Use when you need: - **Multi-view 3D tracking** with world coordinates - **High-precision hand pose** in 3D space (millimeter accuracy) - **Object tracking** during manipulation - **Aria/Quest integration** for wearable devices - **Research-grade tracking** benchmarks - **Hand-object interaction** analysis in 3D **vs alternatives**: - More advanced than single-view methods (hands-3d-pose) - Higher precision than bounding box detection (handtracking) - Full 3D world coordinates vs 2D projections ## Core Capabiliti

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Core Capabilities
  4. 1. Multi-View 3D Hand Tracking
  5. 2. Object Pose Estimation
  6. 3. Hand-Object Interaction
  7. 4. Visualization Tools
  8. Quick Start
  9. Usage Example
  10. Model Specs
  11. Requirements
  12. Dataset
  13. Integration
  14. Limitations
Commands it runs
Clone repository
git clone https://github.com/facebookresearch/hot3d.git
cd hot3d
Install dependencies
pip install -r requirements.txt
Download dataset (requires registration)
Run demo
python demo/visualize_tracking.py \
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About this skill
What does the hot3d skill do?

HOT3D (Hand-Object 3D Dataset) by Meta Facebook - multi-view egocentric hand and object 3D tracking for Aria/Quest smart glasses. State-of-the-art multi-view 3D hand pose, object pose, and hand-object interaction tracking. Supports visualization with 3D joint projections, meshes, and skeletal overlays on video frames.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill hot3d --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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