Agent skill · Workflow & Productivity

i4h-workflow-scene-edit

Edit an env's scene in place — objects, cameras, task, success bounds, randomization. Use when asked to edit a scene or launch/run/open an env in edit mode (`--bridge`), incl. a just-created env.

NVIDIAgithub.com/NVIDIAGitHub ↗
claude-codecodexApache-2.0
Install
npx skills add NVIDIA/skills --skill i4h-workflow-scene-edit --agent claude-code

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

Facts
Files in the skill folder: 9
SKILL.md size: 19 KB
Bundled scripts: none
Version: 0.7.0
Declared author: Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com>
Path: skills/i4h-workflow-scene-edit/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,789
Language: Python
Read our review of the source →

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

From the SKILL.md

# i4h Workflow — Scene Edit ## Purpose Edit an existing env's scene in place via the `--bridge` scene-edit session — move/scale/swap objects, adjust cameras, or tweak task description, success bounds, or randomization. Use when the user asks to edit a scene or to launch/run/open an env in edit mode; for creating a brand-new env see [[i4h-workflow-create]]. ## Base Code These steps drive the i4h-wo

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About this skill
What does the i4h-workflow-scene-edit skill do?

Edit an env's scene in place — objects, cameras, task, success bounds, randomization. Use when asked to edit a scene or launch/run/open an env in edit mode (`--bridge`), incl. a just-created env.

How do I install it?

Run `npx skills add NVIDIA/skills --skill i4h-workflow-scene-edit --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 NVIDIA/skills, a repository with 2,789 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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