Bio Flow Cytometry Cytometry Qc
GPTomics/bioSkills
Quality control for flow, spectral, and mass cytometry - time-based anomaly cleaning (flowAI, flowCut, PeacoQC, flowClean), margin/boundary event removal, signal-drift detection, dead-cell…
Run and validate the repository-local multi-view camera calibration and human-object reconstruction pipelines.
$ npx skills add nvidia-isaac/video_to_data --skill run-mv-hoi-reconstruction -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nvidia-isaac/video_to_data run-mv-hoi-reconstruction --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-mv-hoi-reconstruction .claude/skills/run-mv-hoi-reconstruction && 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-mv-hoi-reconstruction" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/run-mv-hoi-reconstruction into .claude/skills/run-mv-hoi-reconstruction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-mv-hoi-reconstruction", 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-mv-hoi-reconstructionType 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-mv-hoi-reconstruction -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nvidia-isaac/video_to_data run-mv-hoi-reconstruction --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-mv-hoi-reconstruction .agents/skills/run-mv-hoi-reconstruction && 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-mv-hoi-reconstruction" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/run-mv-hoi-reconstruction into .agents/skills/run-mv-hoi-reconstruction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-mv-hoi-reconstruction", 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-mv-hoi-reconstruction -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nvidia-isaac/video_to_data run-mv-hoi-reconstruction --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-mv-hoi-reconstruction .cursor/skills/run-mv-hoi-reconstruction && 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-mv-hoi-reconstruction" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/run-mv-hoi-reconstruction into .cursor/skills/run-mv-hoi-reconstruction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-mv-hoi-reconstruction", 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-mv-hoi-reconstruction--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-mv-hoi-reconstruction -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nvidia-isaac/video_to_data run-mv-hoi-reconstruction --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-mv-hoi-reconstruction .gemini/skills/run-mv-hoi-reconstruction && 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-mv-hoi-reconstruction" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/run-mv-hoi-reconstruction into .gemini/skills/run-mv-hoi-reconstruction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-mv-hoi-reconstruction", 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-mv-hoi-reconstructionInstalls 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-mv-hoi-reconstruction -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-mv-hoi-reconstruction .github/skills/run-mv-hoi-reconstruction && 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-mv-hoi-reconstruction" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/run-mv-hoi-reconstruction into .github/skills/run-mv-hoi-reconstruction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-mv-hoi-reconstruction", 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-mv-hoi-reconstruction -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-mv-hoi-reconstruction --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-mv-hoi-reconstruction .opencode/skills/run-mv-hoi-reconstruction && 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-mv-hoi-reconstruction" agent skill from https://github.com/nvidia-isaac/video_to_data/tree/main/.codex/skills/run-mv-hoi-reconstruction into .opencode/skills/run-mv-hoi-reconstruction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-mv-hoi-reconstruction", 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.
run-mv-hoi-reconstructionRun and validate the repository-local multi-view camera calibration and human-object reconstruction pipelines.
Run Mv Hoi Reconstruction is an agent skill from nvidia-isaac/video_to_data. Run and validate the repository-local multi-view camera calibration and human-object reconstruction pipelines. Use when Codex is asked to prepare, launch, monitor, troubleshoot, or verify v2d.pipelines.runmvcalibration or v2d.pipelines.runmvhoireconstruction, including calibration EDEX generation and the Grounding DINO reconstruction path.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `agents/openai.yaml` and `scripts/preflight.py`).
It sits in Business, Finance & HR, covering Performance reviews. The repository describes itself as: Nvidia Isaac Video to Data Pipeline.
Read from SKILL.md and the folder at commit 193382a. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythondockerFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use docker, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Run Mv Hoi Reconstruction loads about 1.5k tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 638 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.
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); the scripts in this folder are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 638 words (~1,466 tokens).
“Use the local Docker-orchestrated runners to calibrate the multi-view rig and reconstruct one multi-view sequence. Keep the Grounding DINO prompt path as the only supported reconstruction object-detection path.”
SKILL.md and 2 other files (scripts) in .codex/skills/run-mv-hoi-reconstruction of nvidia-isaac/video_to_data.
Open the folder on GitHubat commit 193382a
Run Mv Hoi Reconstruction 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 Mv Hoi Reconstruction this skillnvidia-isaac/video_to_data | 861 | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Bio Flow Cytometry Cytometry QcGPTomics/bioSkills | 1.2k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Developer Productivitymanager-dot-dev/manager-skills | 114 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Amc Setup Calibration StackNVIDIA/skills | 3.6k | — | ~3.9k | Automated safety check: Notes | Apache-2.0 | |
| Wp Performance Reviewelvismdev/claude-wordpress-skills | 235 | 1 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Align Humanagentscope-ai/OpenJudge | 871 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 |
GPTomics/bioSkills
Quality control for flow, spectral, and mass cytometry - time-based anomaly cleaning (flowAI, flowCut, PeacoQC, flowClean), margin/boundary event removal, signal-drift detection, dead-cell…
manager-dot-dev/manager-skills
Helps engineering managers measure and improve team delivery — produces a history of why common metrics fail, the DORA four-key-metrics framework (deployment frequency, lead time, change failure…
NVIDIA/skills
Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose.
elvismdev/claude-wordpress-skills
WordPress performance code review and optimization analysis.
agentscope-ai/OpenJudge
A skill your agent uses when the user has a judge/grader and human-labeled data, and wants to measure how well the judge agrees with humans, detect systematic biases, determine whether automatic…
zhu1090093659/dsh-trading
A skill your agent uses when the user wants to analyze a listed company, stock, business, or investment target; challenge or revise an existing company report; compare A/H or primary-listing/ADR…
nvidia-isaac/video_to_data
Prepare this repository's HOI object reconstruction environment for BundleSDF or SAM3D.
nvidia-isaac/video_to_data
Prepare the repository-local egocentric reconstruction pipeline for Codex-driven work.
nvidia-isaac/video_to_data
Run and extend embodiment-aware GR00T N1.7 post-training workflows from successful robot-policy collection through semantic recording, LeRobot conversion, statistics, fine-tuning, open-loop…
nvidia-isaac/video_to_data
Run the egocentric reconstruction pipeline on an input video.
nvidia-isaac/video_to_data
Diagnose and repair failures in this repository's BundleSDF or SAM3D HOI object reconstruction workflow.
nvidia-isaac/video_to_data
Launch, monitor, resume, and verify this repository's BundleSDF or SAM3D HOI object reconstruction pipeline.
Categories
Run and validate the repository-local multi-view camera calibration and human-object reconstruction pipelines. Run Mv Hoi Reconstruction is an agent skill from nvidia-isaac/video_to_data. Run and validate the repository-local multi-view camera calibration and human-object reconstruction pipelines.
Run Mv Hoi Reconstruction fits situations like: Codex is asked to prepare; verify v2d.pipelines.runmvcalibration; V2d.pipelines.runmvhoireconstruction; including calibration EDEX generation and the Grounding DINO reconstruction path.
Run `npx skills add nvidia-isaac/video_to_data --skill run-mv-hoi-reconstruction -a claude-code`. Or copy the skill folder (.codex/skills/run-mv-hoi-reconstruction in nvidia-isaac/video_to_data) into .claude/skills/run-mv-hoi-reconstruction in your project. Claude Code loads it when a task matches its description.
Run `npx skills add nvidia-isaac/video_to_data --skill run-mv-hoi-reconstruction -a codex`. Or copy the skill folder (.codex/skills/run-mv-hoi-reconstruction in nvidia-isaac/video_to_data) into .agents/skills/run-mv-hoi-reconstruction in your project. Codex loads it when a task matches its description.
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-mv-hoi-reconstruction -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-mv-hoi-reconstruction, .gemini/skills/run-mv-hoi-reconstruction, .github/skills/run-mv-hoi-reconstruction and .opencode/skills/run-mv-hoi-reconstruction in your project.
Going by SKILL.md and its folder, Run Mv Hoi Reconstruction needs Python for the scripts in its folder and the command-line tools its instructions call (python and docker). Our summary lists: Python 3; Docker.
SKILL.md contains no URLs. Its commands use docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Run Mv Hoi Reconstruction has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Run Mv Hoi Reconstruction: Bio Flow Cytometry Cytometry Qc (GPTomics/bioSkills, 1.2k stars), Developer Productivity (manager-dot-dev/manager-skills, 114 stars), Amc Setup Calibration Stack (NVIDIA/skills, 3.6k stars) and Wp Performance Review (elvismdev/claude-wordpress-skills, 235 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.