Build Images
kubernetes-sigs/cloud-provider-azure
Build cloud-provider-azure container images through the repo Makefile with explicit IMAGETAG and IMAGEREGISTRY inputs, optional make flag overrides, and opt-in bounded Docker or Podman retries.
Prepare the repository-local egocentric reconstruction pipeline for Codex-driven work.
Install Ego Reconstruction Setup
$ npx skills add nvidia-isaac/video_to_data --skill ego-reconstruction-setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nvidia-isaac/video_to_data ego-reconstruction-setup --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/ego-reconstruction-setup .claude/skills/ego-reconstruction-setup && 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 "ego-reconstruction-setup" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/ego-reconstruction-setup into .claude/skills/ego-reconstruction-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ego-reconstruction-setup", 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/ego-reconstruction-setupType 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 ego-reconstruction-setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nvidia-isaac/video_to_data ego-reconstruction-setup --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/ego-reconstruction-setup .agents/skills/ego-reconstruction-setup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ego-reconstruction-setup" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/ego-reconstruction-setup into .agents/skills/ego-reconstruction-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ego-reconstruction-setup", 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 ego-reconstruction-setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nvidia-isaac/video_to_data ego-reconstruction-setup --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/ego-reconstruction-setup .cursor/skills/ego-reconstruction-setup && 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 "ego-reconstruction-setup" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/ego-reconstruction-setup into .cursor/skills/ego-reconstruction-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ego-reconstruction-setup", 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/ego-reconstruction-setup--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 ego-reconstruction-setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nvidia-isaac/video_to_data ego-reconstruction-setup --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/ego-reconstruction-setup .gemini/skills/ego-reconstruction-setup && 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 "ego-reconstruction-setup" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/ego-reconstruction-setup into .gemini/skills/ego-reconstruction-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ego-reconstruction-setup", 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 ego-reconstruction-setupInstalls 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 ego-reconstruction-setup -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/ego-reconstruction-setup .github/skills/ego-reconstruction-setup && 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 "ego-reconstruction-setup" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/ego-reconstruction-setup into .github/skills/ego-reconstruction-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ego-reconstruction-setup", 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 ego-reconstruction-setup -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 ego-reconstruction-setup --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/ego-reconstruction-setup .opencode/skills/ego-reconstruction-setup && 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 "ego-reconstruction-setup" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/ego-reconstruction-setup into .opencode/skills/ego-reconstruction-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ego-reconstruction-setup", 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
ego-reconstruction-setup- GitHub stars
- 861
- Token cost
- ~826 tokens
- SKILL.md length
- 304 words
- Files
- 3 (incl. references)
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Prepare the repository-local egocentric reconstruction pipeline for Codex-driven work.
- Works in 6 steps: Confirm the current working directory.… → Confirm host packages are installed in… → Confirm the matching Docker images were… → …
- A user asks to finish setup
- SKILL.md covers Core Workflow, Weight Modes, Validation and Troubleshooting Priorities
- Calls bash, python and huggingface-cli; needs HF_TOKEN
What it does
Ego Reconstruction Setup is an agent skill from nvidia-isaac/video_to_data. Prepare the repository-local egocentric reconstruction pipeline for Codex-driven work. Use when a user asks to finish setup, install host orchestration packages, build Docker images, download model weights, check GPU/Docker prerequisites, or debug missing setup for reconstruction/modules/v2dpipelines/runegoreconstruction.py, runegowilor.py, or runv2degoe2e.py.
Its SKILL.md is about 830 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/ego-reconstruction-setup.md`).
It sits in DevOps & Cloud, covering Containers and End-to-end testing. It works with Docker. The repository describes itself as: Nvidia Isaac Video to Data Pipeline.
When your agent uses it
- A user asks to finish setup
- Install host orchestration packages
- Build Docker images
- Download model weights
Example prompts
- “/ego-reconstruction-setup”
Requirements
- Python 3
- Docker
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Confirm the current working directory. The runners expect paths relative to
- Confirm host packages are installed in the active Python environment.
- Confirm the matching Docker images were built after package or Dockerfile changes.
- Confirm weights exist under reconstruction/data/weights/.
- For gated or manual weights, surface the exact missing path and let the user
- Re-run the same setup script when interrupted; the scripts are intended to be
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:
bashpythonhuggingface-cli
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 these keys or tokens, usually read from environment variables:
HF_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ego Reconstruction Setup loads about 826 tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 100 tokens; SKILL.md has 304 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 304 words (~826 tokens).
“Work from the repo root unless a command explicitly says cd reconstruction. Treat reconstruction/ as the pipeline root.”
- name
- ego-reconstruction-setup
Files
SKILL.md and 2 other files (references) in .codex/skills/ego-reconstruction-setup of nvidia-isaac/video_to_data.
- SKILL.md
- agents/openai.yaml
- references/ego-reconstruction-setup.md
Open the folder on GitHubat commit 193382a
Compare with similar skills
Ego Reconstruction Setup 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 |
|---|---|---|---|---|---|---|
| Ego Reconstruction Setup this skillnvidia-isaac/video_to_data | 861 | — | ~826 | Automated safety check: Pass | Custom licence | |
| Build Imageskubernetes-sigs/cloud-provider-azure | 294 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Plugin Testapache/skywalking-python | 219 | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Add Install Docker CI E2ERLinf/RLinf | 5.5k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Acarshub Tool Additionssdr-enthusiasts/docker-acarshub | 117 | — | ~707 | Automated safety check: Pass | GPL-3.0 | |
| E2E Live Dockerreceptron/mulmoclaude | 371 | — | ~544 | Automated safety check: Pass | MIT |
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Related
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Questions about Ego Reconstruction Setup
What does Ego Reconstruction Setup do?
Prepare the repository-local egocentric reconstruction pipeline for Codex-driven work. Ego Reconstruction Setup is an agent skill from nvidia-isaac/video_to_data. Prepare the repository-local egocentric reconstruction pipeline for Codex-driven work.
When should I use Ego Reconstruction Setup?
Ego Reconstruction Setup fits situations like: A user asks to finish setup; install host orchestration packages; build Docker images; download model weights.
How do I install Ego Reconstruction Setup in Claude Code?
Run `npx skills add nvidia-isaac/video_to_data --skill ego-reconstruction-setup -a claude-code`. Or copy the skill folder (.codex/skills/ego-reconstruction-setup in nvidia-isaac/video_to_data) into .claude/skills/ego-reconstruction-setup in your project. Claude Code loads it when a task matches its description.
How do I install Ego Reconstruction Setup in Codex?
Run `npx skills add nvidia-isaac/video_to_data --skill ego-reconstruction-setup -a codex`. Or copy the skill folder (.codex/skills/ego-reconstruction-setup in nvidia-isaac/video_to_data) into .agents/skills/ego-reconstruction-setup in your project. Codex loads it when a task matches its description.
Can I use Ego Reconstruction Setup 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 ego-reconstruction-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ego-reconstruction-setup, .gemini/skills/ego-reconstruction-setup, .github/skills/ego-reconstruction-setup and .opencode/skills/ego-reconstruction-setup in your project.
What does Ego Reconstruction Setup need to run?
Going by SKILL.md and its folder, Ego Reconstruction Setup needs the command-line tools its instructions call (bash, python and huggingface-cli) and credentials named HF_TOKEN. Our summary lists: Python 3; Docker.
Does Ego Reconstruction Setup 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 Ego Reconstruction Setup 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 Ego Reconstruction Setup use?
Ego Reconstruction Setup 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 Ego Reconstruction Setup use?
About 826 tokens (SKILL.md is roughly 3.3k 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 759 tokens, read only when the agent opens those files.
What are the alternatives to Ego Reconstruction Setup?
Skills that share tags, products or a category with Ego Reconstruction Setup: Build Images (kubernetes-sigs/cloud-provider-azure, 294 stars), Plugin Test (apache/skywalking-python, 219 stars), Add Install Docker CI E2E (RLinf/RLinf, 5.5k stars) and Acarshub Tool Additions (sdr-enthusiasts/docker-acarshub, 117 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ego Reconstruction Setup?
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.