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데이터 및 연구 · SKILL.md

cli-workflows

cli-workflows

Routes Nerfstudio installation, console entry points, help-ordering, tab completion, and safe dataset-download preflight tasks.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: cli-workflows description: "Routes Nerfstudio installation, console entry points, help-ordering, tab completion, and safe dataset-download preflight tasks." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

CLI Workflows

Use this route for the first interaction with a Nerfstudio environment: install, inspect, and choose the right ns-* command before doing data conversion, training, viewer, or export work.

What this route covers

  • Public console entry points from the package metadata: ns-install-cli, ns-process-data, ns-download-data, ns-train, ns-viewer, ns-eval, ns-render, ns-export, ns-dev-test, and ns-dev-sync-viser-message-defs.
  • The argument-order rule for tyro: method flags come after the method name and dataparser flags come after the dataparser name.
  • Safe install and preflight checks for a working Python environment and the common optional binaries that shape later workflows.
  • Shell completion installation planning without mutating user shell state inside the skill.

What this route excludes

  • Real data conversion, validation, or path-fixing: use data-preparation.
  • Method choice, config overrides, resume logic, or multi-GPU training: use training-and-configs.
  • Viewer startup, rendering, metrics, or export work: use visualization-and-export.
  • Custom method/dataparser registration: use api-extension.

Read these bundled files when needed

Usual workflow

  1. Run the bundled inspector or a safe --help check.
  2. Confirm that the command exists in the current environment.
  3. Route the task to the next skill once the command family is identified.
  4. For downloads or processing, stop at the preflight stage until the required external tools and data are available.

Common signals

  • ns-train --help shows available built-in methods and external install hooks.
  • ns-process-data --help lists the dataset conversion modes and their path/data arguments.
  • ns-export --help lists point cloud, mesh, camera, and Gaussian Splat export subcommands.
  • ns-viewer --help confirms the viewer config surface without opening a service.
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