Image to Three.js Model
img2threejs/img2threejs
Rebuilds the object in a reference image as a procedural, animation-ready Three.js model written entirely in code, using staged sculpting with quality checks.
Run the egocentric reconstruction pipeline on an input video.
Install Run Ego Reconstruction Video
$ npx skills add nvidia-isaac/video_to_data --skill run-ego-reconstruction-video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nvidia-isaac/video_to_data run-ego-reconstruction-video --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/nvidia-isaac/video_to_data.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/run-ego-reconstruction-video .claude/skills/run-ego-reconstruction-video && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "run-ego-reconstruction-video" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/run-ego-reconstruction-video into .claude/skills/run-ego-reconstruction-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-ego-reconstruction-video", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/run-ego-reconstruction-videoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add nvidia-isaac/video_to_data --skill run-ego-reconstruction-video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nvidia-isaac/video_to_data run-ego-reconstruction-video --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nvidia-isaac/video_to_data.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/run-ego-reconstruction-video .agents/skills/run-ego-reconstruction-video && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "run-ego-reconstruction-video" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/run-ego-reconstruction-video into .agents/skills/run-ego-reconstruction-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-ego-reconstruction-video", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nvidia-isaac/video_to_data --skill run-ego-reconstruction-video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nvidia-isaac/video_to_data run-ego-reconstruction-video --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nvidia-isaac/video_to_data.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/run-ego-reconstruction-video .cursor/skills/run-ego-reconstruction-video && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "run-ego-reconstruction-video" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/run-ego-reconstruction-video into .cursor/skills/run-ego-reconstruction-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-ego-reconstruction-video", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/nvidia-isaac/video_to_data.git --path .codex/skills/run-ego-reconstruction-video--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add nvidia-isaac/video_to_data --skill run-ego-reconstruction-video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nvidia-isaac/video_to_data run-ego-reconstruction-video --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nvidia-isaac/video_to_data.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/run-ego-reconstruction-video .gemini/skills/run-ego-reconstruction-video && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "run-ego-reconstruction-video" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/run-ego-reconstruction-video into .gemini/skills/run-ego-reconstruction-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-ego-reconstruction-video", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install nvidia-isaac/video_to_data run-ego-reconstruction-videoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add nvidia-isaac/video_to_data --skill run-ego-reconstruction-video -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nvidia-isaac/video_to_data.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/run-ego-reconstruction-video .github/skills/run-ego-reconstruction-video && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "run-ego-reconstruction-video" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/run-ego-reconstruction-video into .github/skills/run-ego-reconstruction-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-ego-reconstruction-video", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nvidia-isaac/video_to_data --skill run-ego-reconstruction-video -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nvidia-isaac/video_to_data run-ego-reconstruction-video --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nvidia-isaac/video_to_data.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/run-ego-reconstruction-video .opencode/skills/run-ego-reconstruction-video && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "run-ego-reconstruction-video" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/run-ego-reconstruction-video into .opencode/skills/run-ego-reconstruction-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-ego-reconstruction-video", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
run-ego-reconstruction-video- GitHub stars
- 861
- Token cost
- ~1.2k tokens
- SKILL.md length
- 336 words
- Files
- 3 (incl. references)
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Run the egocentric reconstruction pipeline on an input video.
- A user asks Codex to process an MP4
- SKILL.md covers Decide the Run Mode, Standard Commands, Reruns and Partial Outputs and Verify Results, plus 1 more section
- Calls python and bash
- Video with the reconstruction ego pipeline
What it does
Run Ego Reconstruction Video is an agent skill from nvidia-isaac/video_to_data. Run the egocentric reconstruction pipeline on an input video. Use when a user asks Codex to process an MP4 or video with the reconstruction ego pipeline, choose between HaMeR/WiLoR and DynHaMR hand tracking, pass an object prompt or object mesh, enable undistortion, SLAM, gravity alignment, gsplat refinement, or export/check the final result bundle and Three.js scene.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/run-ego-reconstruction-video.md`).
It sits in Game Development, covering 3D graphics and WebGL. It works with Three.js. The repository describes itself as: Nvidia Isaac Video to Data Pipeline.
When your agent uses it
- A user asks Codex to process an MP4
- Video with the reconstruction ego pipeline
- Choose between HaMeR/WiLoR and DynHaMR hand tracking
- Pass an object prompt
Example prompts
- “/run-ego-reconstruction-video”
Requirements
- Python 3
- Docker
What it can do on your machine
Read from SKILL.md and the folder at commit 193382a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
pythonbash
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Run Ego Reconstruction Video loads about 1.2k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 100 tokens; SKILL.md has 336 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 336 words (~1,200 tokens).
“Use the consolidated entrypoint unless the user explicitly asks for a legacy script:”
- name
- run-ego-reconstruction-video
Files
SKILL.md and 2 other files (references) in .codex/skills/run-ego-reconstruction-video of nvidia-isaac/video_to_data.
- SKILL.md
- agents/openai.yaml
- references/run-ego-reconstruction-video.md
Open the folder on GitHubat commit 193382a
Compare with similar skills
Run Ego Reconstruction Video next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Run Ego Reconstruction Video this skillnvidia-isaac/video_to_data | 861 | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Image to Three.js Modelimg2threejs/img2threejs | 18k | 1 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 | |
| Web CloneJane-xiaoer/claude-skill-web-clone | 1k | 1 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Threejs Game Directormajidmanzarpour/threejs-game-skills | 2.5k | — | ~2.2k | Automated safety check: Pass | MIT | |
| Threejs Gameplay Systemsvalkor-ai/loom | 1.2k | 1 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Threejs World Generationcalesthio/OpenMontage | 66k | — | ~2k | Automated safety check: Pass | AGPL-3.0 |
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Related
Works with
Categories
Questions about Run Ego Reconstruction Video
What does Run Ego Reconstruction Video do?
Run the egocentric reconstruction pipeline on an input video. Run Ego Reconstruction Video is an agent skill from nvidia-isaac/video_to_data. Run the egocentric reconstruction pipeline on an input video.
When should I use Run Ego Reconstruction Video?
Run Ego Reconstruction Video fits situations like: A user asks Codex to process an MP4; video with the reconstruction ego pipeline; choose between HaMeR/WiLoR and DynHaMR hand tracking; pass an object prompt.
How do I install Run Ego Reconstruction Video in Claude Code?
Run `npx skills add nvidia-isaac/video_to_data --skill run-ego-reconstruction-video -a claude-code`. Or copy the skill folder (.codex/skills/run-ego-reconstruction-video in nvidia-isaac/video_to_data) into .claude/skills/run-ego-reconstruction-video in your project. Claude Code loads it when a task matches its description.
How do I install Run Ego Reconstruction Video in Codex?
Run `npx skills add nvidia-isaac/video_to_data --skill run-ego-reconstruction-video -a codex`. Or copy the skill folder (.codex/skills/run-ego-reconstruction-video in nvidia-isaac/video_to_data) into .agents/skills/run-ego-reconstruction-video in your project. Codex loads it when a task matches its description.
Can I use Run Ego Reconstruction Video in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nvidia-isaac/video_to_data --skill run-ego-reconstruction-video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/run-ego-reconstruction-video, .gemini/skills/run-ego-reconstruction-video, .github/skills/run-ego-reconstruction-video and .opencode/skills/run-ego-reconstruction-video in your project.
What does Run Ego Reconstruction Video need to run?
Going by SKILL.md and its folder, Run Ego Reconstruction Video needs the command-line tools its instructions call (python and bash). Our summary lists: Python 3; Docker.
Does Run Ego Reconstruction Video access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Run Ego Reconstruction Video safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Run Ego Reconstruction Video use?
Run Ego Reconstruction Video has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Run Ego Reconstruction Video use?
About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 797 tokens, read only when the agent opens those files.
What are the alternatives to Run Ego Reconstruction Video?
Skills that share tags, products or a category with Run Ego Reconstruction Video: Image to Three.js Model (img2threejs/img2threejs, 18k stars), Web Clone (Jane-xiaoer/claude-skill-web-clone, 1k stars), Threejs Game Director (majidmanzarpour/threejs-game-skills, 2.5k stars) and Threejs Gameplay Systems (valkor-ai/loom, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Run Ego Reconstruction Video?
nvidia-isaac (a GitHub organization) maintains it in nvidia-isaac/video_to_data, which has 861 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 8, 2026.
Source: nvidia-isaac/video_to_data on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.