---

name: environment-setup description: "Install MonoGS, build its CUDA extensions, and verify backend readiness." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

environment-setup

Use this sub-skill to prepare a MonoGS runtime before any dataset, SLAM, evaluation, or live-demo work.

Covers

• Conda environment setup from the checked-in manifest
• Python 3.7 with the reference PyTorch 1.12.1 + CUDA 11.6 stack
• Git submodule initialization for the native extensions
• simple_knn and diff_gaussian_rasterization build and import checks
• Open3D / OpenGL / GLFW GUI dependencies
• optional pyrealsense2

Does not cover

• dataset layouts and downloads
• offline SLAM command selection or tuning
• RealSense capture operation
• metrics and result interpretation

Read first

• Install and backends
• Troubleshooting

Verify

Run the bundled checker after install:

• Environment checker

If that checker is not yet bundled in your checkout, use the smoke commands in the install reference as a temporary fallback.