Nwb Conversion
K-Dense-AI/scientific-agent-skills
Converts neuroscience acquisition data to Neurodata Without Borders files with NeuroConv and PyNWB, preserves metadata and timebases, checks evidence-based clock alignment, and produces schema…
Help a contributor convert healthcare robotics data (HDF5, Zarr, ROS bags, CSV plus frames) into the LeRobot v3.0 dataset format accepted by Open-H-Embodiment.
Install Dataset Conversion
$ npx skills add open-h/open-h-embodiment --skill dataset-conversion -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install open-h/open-h-embodiment dataset-conversion --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/open-h/open-h-embodiment.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/dataset-conversion .claude/skills/dataset-conversion && 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 "dataset-conversion" agent skill from https://github.com/open-h/open-h-embodiment/tree/main/.claude/skills/dataset-conversion into .claude/skills/dataset-conversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataset-conversion", 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/open-h/open-h-embodiment/tree/main/.claude/skills/dataset-conversionType 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 open-h/open-h-embodiment --skill dataset-conversion -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install open-h/open-h-embodiment dataset-conversion --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-h/open-h-embodiment.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/dataset-conversion .agents/skills/dataset-conversion && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dataset-conversion" agent skill from https://github.com/open-h/open-h-embodiment/tree/main/.claude/skills/dataset-conversion into .agents/skills/dataset-conversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataset-conversion", 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 open-h/open-h-embodiment --skill dataset-conversion -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install open-h/open-h-embodiment dataset-conversion --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-h/open-h-embodiment.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/dataset-conversion .cursor/skills/dataset-conversion && 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 "dataset-conversion" agent skill from https://github.com/open-h/open-h-embodiment/tree/main/.claude/skills/dataset-conversion into .cursor/skills/dataset-conversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataset-conversion", 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/open-h/open-h-embodiment.git --path .claude/skills/dataset-conversion--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 open-h/open-h-embodiment --skill dataset-conversion -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install open-h/open-h-embodiment dataset-conversion --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-h/open-h-embodiment.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/dataset-conversion .gemini/skills/dataset-conversion && 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 "dataset-conversion" agent skill from https://github.com/open-h/open-h-embodiment/tree/main/.claude/skills/dataset-conversion into .gemini/skills/dataset-conversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataset-conversion", 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 open-h/open-h-embodiment dataset-conversionInstalls 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 open-h/open-h-embodiment --skill dataset-conversion -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/open-h/open-h-embodiment.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/dataset-conversion .github/skills/dataset-conversion && 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 "dataset-conversion" agent skill from https://github.com/open-h/open-h-embodiment/tree/main/.claude/skills/dataset-conversion into .github/skills/dataset-conversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataset-conversion", 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 open-h/open-h-embodiment --skill dataset-conversion -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install open-h/open-h-embodiment dataset-conversion --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-h/open-h-embodiment.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/dataset-conversion .opencode/skills/dataset-conversion && 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 "dataset-conversion" agent skill from https://github.com/open-h/open-h-embodiment/tree/main/.claude/skills/dataset-conversion into .opencode/skills/dataset-conversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataset-conversion", 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
dataset-conversion- GitHub stars
- 148
- Token cost
- ~2.4k tokens
- SKILL.md length
- 1,099 words
- Files
- 1
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Help a contributor convert healthcare robotics data (HDF5, Zarr, ROS bags, CSV plus frames) into the LeRobot v3.0 dataset format accepted by Open-H-Embodiment.
- Works in 8 steps: Inventory the source data → Establish synchronization → Choose or adapt a converter → …
- Asked to convert
- SKILL.md covers Procedure and Common pitfalls
- Calls python
What it does
Dataset Conversion is an agent skill from open-h/open-h-embodiment. Help a contributor convert healthcare robotics data (HDF5, Zarr, ROS bags, CSV plus frames) into the LeRobot v3.0 dataset format accepted by Open-H-Embodiment. Use when asked to convert, format, or prepare data for submission.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Documents & Office, covering CSV and tabular files. It works with Zarr. The repository describes itself as: Open-H-Embodiment is a community‑driven dataset initiative building the open, shared foundation needed to train and evaluate a generalist Vision‑Language‑Action (VLA) model for….
When your agent uses it
- Asked to convert
- Prepare data for submission
Example prompts
- “/dataset-conversion”
Requirements
- Python 3
Workflow steps
8 steps, taken from the step headings in SKILL.md.
- Inventory the source data
- Establish synchronization
- Choose or adapt a converter
- Map streams to the feature-naming conventions
- Set metadata and splits
- Source already in LeRobot v2.1
- Complete the dataset README
- Validate and iterate
What it can do on your machine
Read from SKILL.md and the folder at commit c8f8632. 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:
python
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
Dataset Conversion loads about 2.4k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 1,099 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 1,099 words (~2,393 tokens).
“Convert contributor source data into a LeRobot format v3.0 dataset ready for Open-H-Embodiment submission. Use the pinned package lerobot[dataset]==0.6.0 (Python >= 3.12; the [dataset] extra is required, and the package version and the dataset format version are separate versioning schemes)…”
- name
- dataset-conversion
Files
Just SKILL.md in .claude/skills/dataset-conversion of open-h/open-h-embodiment.
Open the folder on GitHubat commit c8f8632
Compare with similar skills
Dataset Conversion 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 |
|---|---|---|---|---|---|---|
| Dataset Conversion this skillopen-h/open-h-embodiment | 148 | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Nwb ConversionK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Data Table Managern8n-io/n8n | 207k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | 2 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Abuse Hunternexu-io/harness-engineering-guide | 663 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Markitshift-labs-ai/markit | 1.3k | — | ~299 | Automated safety check: Pass | MIT |
Similar skills
- Official
Data Table Manager
n8n-io/n8n
Load before calling data-tables or parse-file. An agent skill from n8n-io/n8n.
- Official
Instrument Data To Allotrope
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV.
Abuse Hunter
nexu-io/harness-engineering-guide
Detect and investigate bulk registration abuse on SaaS platforms.
Markit
shift-labs-ai/markit
Convert files and URLs to Markdown. An agent skill from shift-labs-ai/markit.
Sector Analyst
tradermonty/claude-trading-skills
This skill should be used when analyzing sector rotation patterns and market cycle positioning.
More from open-h/open-h-embodiment
Submission Review
open-h/open-h-embodiment
Review an Open-H-Embodiment dataset submission for format compliance, required metadata, Cartesian end-effector kinematics, and hours accounting.
Related
Works with
Categories
Questions about Dataset Conversion
What does Dataset Conversion do?
Help a contributor convert healthcare robotics data (HDF5, Zarr, ROS bags, CSV plus frames) into the LeRobot v3.0 dataset format accepted by Open-H-Embodiment. Dataset Conversion is an agent skill from open-h/open-h-embodiment.0 dataset format accepted by Open-H-Embodiment.
When should I use Dataset Conversion?
Dataset Conversion fits situations like: asked to convert; prepare data for submission.
How do I install Dataset Conversion in Claude Code?
Run `npx skills add open-h/open-h-embodiment --skill dataset-conversion -a claude-code`. Or copy the skill folder (.claude/skills/dataset-conversion in open-h/open-h-embodiment) into .claude/skills/dataset-conversion in your project. Claude Code loads it when a task matches its description.
How do I install Dataset Conversion in Codex?
Run `npx skills add open-h/open-h-embodiment --skill dataset-conversion -a codex`. Or copy the skill folder (.claude/skills/dataset-conversion in open-h/open-h-embodiment) into .agents/skills/dataset-conversion in your project. Codex loads it when a task matches its description.
Can I use Dataset Conversion 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 open-h/open-h-embodiment --skill dataset-conversion -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dataset-conversion, .gemini/skills/dataset-conversion, .github/skills/dataset-conversion and .opencode/skills/dataset-conversion in your project.
What does Dataset Conversion need to run?
Going by SKILL.md and its folder, Dataset Conversion needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Dataset Conversion 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 Dataset Conversion 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 Dataset Conversion use?
Dataset Conversion 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 Dataset Conversion use?
About 2.4k tokens (SKILL.md is roughly 9.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Dataset Conversion?
Skills that share tags, products or a category with Dataset Conversion: Nwb Conversion (K-Dense-AI/scientific-agent-skills, 48k stars), Data Table Manager (n8n-io/n8n, 207k stars), Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars) and Abuse Hunter (nexu-io/harness-engineering-guide, 663 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dataset Conversion?
open-h (a GitHub organization) maintains it in open-h/open-h-embodiment, which has 148 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on August 14, 2026.
Source: open-h/open-h-embodiment on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.