KS
Killer-Skills

world42-origin-camera — how to use world42-origin-camera how to use world42-origin-camera, world42-origin-camera setup guide, Quadtree LOD rendering, Babylon.js tutorials, WebGL2 projects, world42-origin-camera alternative, world42-origin-camera vs Three.js, install world42-origin-camera, world42-origin-camera documentation

v1.0.0
GitHub

About this Skill

Perfect for 3D Visualization Agents needing immersive, real-scale planet experiences with Babylon.js and WebGL2. world42-origin-camera is a WebGL2 project that utilizes Quadtree LOD to render real-scale planets, built with Babylon.js and featuring high-precision WorldDouble calculations

Features

Utilizes Babylon.js for 3D rendering and transformation
Employs Quadtree LOD for efficient, real-scale planet rendering
Supports high-precision WorldDouble calculations for accurate positioning
Includes conversion boundary functions: toRenderSpace and toWorldSpace
Provides a script for auditing usage before editing: check-orig

# Core Topics

bpodwinski bpodwinski
[6]
[0]
Updated: 3/4/2026

Quality Score

Top 5%
30
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add bpodwinski/World42/world42-origin-camera

Agent Capability Analysis

The world42-origin-camera MCP Server by bpodwinski is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use world42-origin-camera, world42-origin-camera setup guide, Quadtree LOD rendering.

Ideal Agent Persona

Perfect for 3D Visualization Agents needing immersive, real-scale planet experiences with Babylon.js and WebGL2.

Core Value

Empowers agents to create efficient, real-scale planet renderings using Quadtree LOD systems, Babylon.js transforms, and high-precision WorldDouble calculations, while ensuring consistency between world and render spaces through conversion boundaries like toRenderSpace and toWorldSpace.

Capabilities Granted for world42-origin-camera MCP Server

Rendering immersive, real-scale planet environments with Babylon.js
Optimizing 3D rendering performance using Quadtree LOD systems
Converting between world and render spaces for precise calculations

! Prerequisites & Limits

  • Requires Babylon.js and WebGL2 compatibility
  • Dependent on consistent contract for OriginCamera usage
  • High-precision calculations may require significant computational resources
Project
SKILL.md
2.2 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

World42 Origin Camera

Treat OriginCamera as the world/render boundary for the entire runtime. Keep all edits consistent with this contract:

  • WorldDouble (high precision): camera.doublepos, entities doublepos, absolute distances.
  • Render-space (Babylon transforms): camera.position and visible mesh transforms.
  • Conversion boundary: toRenderSpace and toWorldSpace.

Workflow

1) Audit usage before editing

Run:

powershell
1./skills/world42-origin-camera/scripts/check-origin-camera-usage.ps1

Inspect:

  • Any logic mixing camera.position with world distances.
  • Direct world - camera.doublepos math that should use toRenderSpace.
  • Any new code writing to render-space and world-space in the same formula.

2) Preserve frame contract

When touching src/core/camera/camera_manager.ts, keep this update order inside the camera tick:

  1. Accumulate render delta into doublepos.
  2. Reset camera.position to render origin.
  3. Update all floating entities.
  4. Update velocity and speed from doublepos.

Do not reorder those steps without checking downstream systems.

3) Keep system boundaries explicit

  • Controls (mouse_steer_control_manager.ts) move in render-space; camera tick promotes motion to WorldDouble.
  • Teleport (teleport_entity.ts) sets doublepos and look target using toRenderSpace.
  • LOD/culling (chunk_tree.ts, chunk_culling_eval.ts) read camera location from doublepos.
  • Postprocess (star_raymarch_postprocess.ts) sends camera render origin and world-derived targets converted to render-space.

If you add a new camera consumer, choose one space first, then convert once at the boundary.

4) Validate high-risk changes

After changes to OriginCamera behavior:

  • Verify spawn/target setup in bootstrap_scene.ts.
  • Verify teleport + LOD reset in setup_runtime.ts.
  • Verify near-planet shadows and active-planet selection in setup_lod_and_shadows.ts.
  • Verify speed HUD (camera.speedSim -> ScaleManager.simSpeedToMetersPerSec).

Use references/origin-camera-global-map.md for file-level contracts.

Resources

  • Script: scripts/check-origin-camera-usage.ps1
  • Reference: references/origin-camera-global-map.md

Related Skills

Looking for an alternative to world42-origin-camera or building a Categories.community AI Agent? Explore these related open-source MCP Servers.

View All

widget-generator

Logo of f
f

widget-generator is an open-source AI agent skill for creating widget plugins that are injected into prompt feeds on prompts.chat. It supports two rendering modes: standard prompt widgets using default PromptCard styling and custom render widgets built as full React components.

149.6k
0
Design

chat-sdk

Logo of lobehub
lobehub

chat-sdk is a unified TypeScript SDK for building chat bots across multiple platforms, providing a single interface for deploying bot logic.

73.0k
0
Communication

zustand

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication

data-fetching

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication