Options
asgeirtj/system_prompts_leaks
Present multiple design options as a vertical stack of anchored turns
Expand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments.
$ npx skills add NVIDIA/skills --skill i4h-workflow-dataset-mimic -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills i4h-workflow-dataset-mimic --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/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/i4h-workflow-dataset-mimic .claude/skills/i4h-workflow-dataset-mimic && 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 "i4h-workflow-dataset-mimic" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/i4h-workflow-dataset-mimic into .claude/skills/i4h-workflow-dataset-mimic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "i4h-workflow-dataset-mimic", 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/skills/tree/main/skills/i4h-workflow-dataset-mimicType 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/skills --skill i4h-workflow-dataset-mimic -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills i4h-workflow-dataset-mimic --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/i4h-workflow-dataset-mimic .agents/skills/i4h-workflow-dataset-mimic && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "i4h-workflow-dataset-mimic" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/i4h-workflow-dataset-mimic into .agents/skills/i4h-workflow-dataset-mimic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "i4h-workflow-dataset-mimic", 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/skills --skill i4h-workflow-dataset-mimic -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills i4h-workflow-dataset-mimic --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/i4h-workflow-dataset-mimic .cursor/skills/i4h-workflow-dataset-mimic && 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 "i4h-workflow-dataset-mimic" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/i4h-workflow-dataset-mimic into .cursor/skills/i4h-workflow-dataset-mimic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "i4h-workflow-dataset-mimic", 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/skills.git --path skills/i4h-workflow-dataset-mimic--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/skills --skill i4h-workflow-dataset-mimic -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills i4h-workflow-dataset-mimic --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/i4h-workflow-dataset-mimic .gemini/skills/i4h-workflow-dataset-mimic && 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 "i4h-workflow-dataset-mimic" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/i4h-workflow-dataset-mimic into .gemini/skills/i4h-workflow-dataset-mimic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "i4h-workflow-dataset-mimic", 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/skills i4h-workflow-dataset-mimicInstalls 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/skills --skill i4h-workflow-dataset-mimic -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/i4h-workflow-dataset-mimic .github/skills/i4h-workflow-dataset-mimic && 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 "i4h-workflow-dataset-mimic" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/i4h-workflow-dataset-mimic into .github/skills/i4h-workflow-dataset-mimic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "i4h-workflow-dataset-mimic", 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/skills --skill i4h-workflow-dataset-mimic -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/skills i4h-workflow-dataset-mimic --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/i4h-workflow-dataset-mimic .opencode/skills/i4h-workflow-dataset-mimic && 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 "i4h-workflow-dataset-mimic" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/i4h-workflow-dataset-mimic into .opencode/skills/i4h-workflow-dataset-mimic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "i4h-workflow-dataset-mimic", 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.
i4h-workflow-dataset-mimicExpand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments.
I4h Workflow Dataset Mimic is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Expand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments. Use for synthetic variants; do not use to collect data, alter state directly, or generate new images.
Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `BENCHMARK.md`, `evals/evals.json` and `skill-card.md`).
The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit dfdd080. 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.
Shell commands in SKILL.md call:
uvgitFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
github.comFrom 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.
I4h Workflow Dataset Mimic loads about 982 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 293 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); files beside SKILL.md are not scanned.
The full file from NVIDIA/skills at commit dfdd080, republished under its Apache-2.0 licence (© NVIDIA). 293 words, ~982 tokens.
.claude/skills/i4h-workflow-dataset-mimic/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Clone successful source episodes and perturb recorded actions.
export I4H_WORKFLOWS_REPO_URL="${I4H_WORKFLOWS_REPO_URL:-https://github.com/isaac-for-healthcare/i4h-workflows}"
I4H_REPO_DIR_NAME="${I4H_WORKFLOWS_REPO_URL%/}"
I4H_REPO_DIR_NAME="${I4H_REPO_DIR_NAME##*/}"
I4H_REPO_DIR_NAME="${I4H_REPO_DIR_NAME##*:}"
I4H_REPO_DIR_NAME="${I4H_REPO_DIR_NAME%.git}"
[ -n "$I4H_REPO_DIR_NAME" ] || { echo "Cannot derive a checkout name from I4H_WORKFLOWS_REPO_URL" >&2; exit 2; }
ROOT="${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>/dev/null)}"
if [ ! -d "$ROOT/workflows/i4h_workflows" ]; then
ROOT="${I4H_WORKFLOWS:-$HOME/$I4H_REPO_DIR_NAME}"
[ -d "$ROOT/workflows/i4h_workflows" ] || git clone "$I4H_WORKFLOWS_REPO_URL" "$ROOT"
fi
export I4H_WORKFLOWS="$ROOT"
cd "$ROOT"
HDF5_PATH=/absolute/path/to/source.hdf5
uv run --project tools/dataset i4h-dataset inspect "$HDF5_PATH" --segmentsTreat the resolver above as part of the skill contract: a hosted copy may run outside the base repository, so never assume the current checkout contains workflows/i4h_workflows. I4H_WORKFLOWS_REPO_URL selects the clone source. When I4H_WORKFLOWS is unset, derive the fallback directory from that URL; set I4H_WORKFLOWS only to reuse or choose a specific destination. Never replace an existing checkout.
Use the explicit/current-chain recording. Require at least one successful source episode. If the user asks for node-scoped jitter, require that node in segment metadata.
RUN_DIR="$(pwd)/runs/<workflow>/$(date +%Y%m%d_%H%M%S)"
mkdir -p "$RUN_DIR"
uv run --project tools/mimic i4h-mimic \
"$HDF5_PATH" "$RUN_DIR/expanded.hdf5" \
--episodes <additional-count> \
--noise 0.01 \
--seed <seed> \
--include-source \
--successful-only--episodes is the number of generated variants, not the final total. Add --node <node-id> only when requested. Preserve the default deterministic seed unless the user supplies another.
uv run --project tools/dataset i4h-dataset inspect "$RUN_DIR/expanded.hdf5" --segmentsConfirm source count, generated count, dimensions, success flags, and segment preservation. Reject zero generated episodes.
If the same prompt requests visualization, continue with i4h-workflow-dataset-convert, then i4h-lerobot-viz; raw HDF5 is not a LeRobot visualizer input.
On failure, inspect the first episode shape or segment error. If a requested node is absent, report available node ids.
Require a readable HDF5 file with at least one successful episode and valid segments for node-scoped jitter.
The current tool does not independently add state noise, rerun physics, or synthesize camera frames.
Mimic 3 more episodes and visualize my dataset. → generate three variants, convert the expanded HDF5, then launch LeRobot visualization.Report input/output paths, source and generated counts, final total, action-noise value, seed, optional node, limitations, and conversion/visualizer result when requested.
© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files in skills/i4h-workflow-dataset-mimic of NVIDIA/skills.
Open the folder on GitHubat commit dfdd080
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in NVIDIA/skills, which our catalogue first saw on October 7, 2026.
I4h Workflow Dataset Mimic 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 |
|---|---|---|---|---|---|---|
| I4h Workflow Dataset Mimic this skillNVIDIA/skills | 3.5k | 1 repos | ~982 | Automated safety check: Pass | Apache-2.0 | |
| Optionsasgeirtj/system_prompts_leaks | 69k | — | ~918 | Automated safety check: Pass | CC0-1.0 | |
| DatasetsArize-ai/phoenix | 12k | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Options Strategy BacktestingHKUDS/Vibe-Trading | 35k | — | ~2k | Automated safety check: Pass | MIT | |
| Dataset Curationwshobson/agents | 40k | — | ~2k | Automated safety check: Pass | MIT | |
| Arize Datasetgithub/awesome-copilot | 40k | 1 repos | ~3.9k | Automated safety check: Notes | MIT |
asgeirtj/system_prompts_leaks
Present multiple design options as a vertical stack of anchored turns
Arize-ai/phoenix
Understand what a Phoenix dataset is and reason well about its examples, outputs, splits, and how it feeds evaluators and experiments.
HKUDS/Vibe-Trading
Backtests multi-leg option strategies by synthesizing Black-Scholes prices from the underlying, simulating PnL, Greeks exposure and expiration for crypto and equity options.
wshobson/agents
Prepare, format, and validate datasets for supervised fine-tuning and preference training.
github/awesome-copilot
Creates, manages, and queries Arize datasets and examples. An agent skill from github/awesome-copilot.
getsentry/sentry
Remove a Sentry option or FlagPole feature flag whose rollout is finished, in the correct PR order across sentry, getsentry, and sentry-options-automator.
NVIDIA/skills
A skill your agent uses when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice.
NVIDIA/skills
Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything.
NVIDIA/skills
Runs and validates an end-to-end Mission Control demo in a locally installed Isaac Sim, with a Nova Carter robot driven through a Python server.
NVIDIA/skills
Orchestrates defect image generation for PCBA, metal surface and glass inspection with NVIDIA Cosmos AnomalyGen on OSMO, from cold-start Day 0 to real-photo Day 1 labeling.
NVIDIA/skills
Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.
NVIDIA/skills
Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV.
Expand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments. I4h Workflow Dataset Mimic is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Expand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments.
I4h Workflow Dataset Mimic fits situations like: synthetic variants; do not use to collect data; alter state directly; generate new images.
Run `npx skills add NVIDIA/skills --skill i4h-workflow-dataset-mimic -a claude-code`. Or copy the skill folder (skills/i4h-workflow-dataset-mimic in NVIDIA/skills) into .claude/skills/i4h-workflow-dataset-mimic in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill i4h-workflow-dataset-mimic -a codex`. Or copy the skill folder (skills/i4h-workflow-dataset-mimic in NVIDIA/skills) into .agents/skills/i4h-workflow-dataset-mimic 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/skills --skill i4h-workflow-dataset-mimic -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/i4h-workflow-dataset-mimic, .gemini/skills/i4h-workflow-dataset-mimic, .github/skills/i4h-workflow-dataset-mimic and .opencode/skills/i4h-workflow-dataset-mimic in your project.
Going by SKILL.md and its folder, I4h Workflow Dataset Mimic needs the command-line tools its instructions call (uv and git).
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. 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. Review the folder before installing.
I4h Workflow Dataset Mimic is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 982 tokens (SKILL.md is roughly 3.9k 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 I4h Workflow Dataset Mimic: Options (asgeirtj/system_prompts_leaks, 69k stars), Datasets (Arize-ai/phoenix, 12k stars), Options Strategy Backtesting (HKUDS/Vibe-Trading, 35k stars) and Dataset Curation (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,546 GitHub stars. The repository holds 386 skills in this directory. The repository was last updated on October 9, 2026.
Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.