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any4lerobot

Guides Any4LeRobot dataset conversions, LeRobot-to-RLDS export, and LeRobot v1.6-v3.0 format migrations with schema validation, version-aware environments…

Skill by VectorSpaceLab

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About

Guides Any4LeRobot dataset conversions, LeRobot-to-RLDS export, and LeRobot v1.6-v3.0 format migrations with schema validation, version-aware environments, and safe publication boundaries.

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/any4lerobot

What's inside

Skill name
any4lerobot
Description
Guides Any4LeRobot dataset conversions, LeRobot-to-RLDS export, and LeRobot v1.6-v3.0 format migrations with schema validation, version-aware environments, and safe publication boundaries.
License
MIT
Metadata
disco-role: operating
Instructions
101 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (41)

  • SKILL.md
  • repo-provenance.md · references/
  • repo-routing-metadata.json · references/
  • troubleshooting.md · references/
  • workflow-selection.md · references/
  • check_environment.py · scripts/
  • SKILL.md · sub-skills/agibot-conversion/
  • data-formats.md · sub-skills/agibot-conversion/references/
  • troubleshooting.md · sub-skills/agibot-conversion/references/
  • workflows.md · sub-skills/agibot-conversion/references/
  • SKILL.md · sub-skills/generic-conversion/
  • api-reference.md · sub-skills/generic-conversion/references/
  • pipeline-behavior.md · sub-skills/generic-conversion/references/
  • troubleshooting.md · sub-skills/generic-conversion/references/
  • check_generic_contract.py · sub-skills/generic-conversion/scripts/
  • SKILL.md · sub-skills/libero-conversion/
  • data-formats.md · sub-skills/libero-conversion/references/
  • troubleshooting.md · sub-skills/libero-conversion/references/
  • workflows.md · sub-skills/libero-conversion/references/
  • SKILL.md · sub-skills/openx-conversion/
  • oxe-configurations.md · sub-skills/openx-conversion/references/
  • troubleshooting.md · sub-skills/openx-conversion/references/
  • workflows.md · sub-skills/openx-conversion/references/
  • SKILL.md · sub-skills/rlds-export/
  • data-formats.md · sub-skills/rlds-export/references/
  • troubleshooting.md · sub-skills/rlds-export/references/
  • workflows.md · sub-skills/rlds-export/references/
  • SKILL.md · sub-skills/robocasa-conversion/
  • data-formats.md · sub-skills/robocasa-conversion/references/
  • troubleshooting.md · sub-skills/robocasa-conversion/references/
  • workflows.md · sub-skills/robocasa-conversion/references/
  • SKILL.md · sub-skills/robomind-conversion/
  • data-formats.md · sub-skills/robomind-conversion/references/
  • embodiments.md · sub-skills/robomind-conversion/references/
  • troubleshooting.md · sub-skills/robomind-conversion/references/
  • workflows.md · sub-skills/robomind-conversion/references/
  • SKILL.md · sub-skills/version-migration/
  • metadata-layouts.md · sub-skills/version-migration/references/
  • troubleshooting.md · sub-skills/version-migration/references/
  • version-matrix.md · sub-skills/version-migration/references/
  • workflows.md · sub-skills/version-migration/references/

SKILL.md (first lines)

# Any4LeRobot

Any4LeRobot is a script-oriented toolbox for moving robotics datasets into and
between LeRobot formats. Use this skill to plan a conversion from a documented
source layout, select the matching route, validate schemas before writing, and
keep Ray, Beam, simulator, video, and Hub side effects explicit.

## Start here

1. Identify the **source format**, target format/version, local source root,
   output root, desired modalities, and whether publication is requested.
2. Read [workflow selection](references/workflow-selection.md) and choose one
   focused route below. Load [troubleshooting](references/troubleshooting.md)
   before changing dependencies or retrying a failed run.
3. Check [repository provenance](references/repo-provenance.md) when working
   from a checkout or deciding whether the guidance needs refreshing.
4. Run the safe environment probe in `scripts/check_environment.py` before
   executing any converter. It reports core and optional import/API status but
   never downloads data or writes a dataset.
5. Build a no-write preflight: verify input layout, feature shapes/dtypes,
   version/API compatibility, distinct output path, backup/rollback plan, and
   resource budget. Start with local/debug execution; defer Hub publication.

This skill contains distilled guidance, not a dependency on the original
checkout. Do not tell a future agent to run a source-repository script or
checkout-relative `convert.sh`; use the route references and their commands as
recipes, then verify the equivalent entry point in the selected environment.

## Route map

| User request or input | Read this route |
|---|---|
| Design an adapter, use local/Ray DataTrove execution, aggregate task outputs, resume, or publish | [`generic-conversion`](sub-skills/generic-conversion/SKILL.md) |
| Open X-Embodiment/RLDS/TFDS → LeRobot | [`openx-conversion`](sub-skills/openx-conversion/SKILL.md) |
| AgiBotWorld raw tree → LeRobot | [`agibot-conversion`](sub-skills/agibot-conversion/SKILL.md) |
| RoboMIND benchmark/embodiment HDF5 → LeRobot | [`robomind-conversion`](sub-skills/robomind-conversion/SKILL.md) |
| LIBERO HDF5 → LeRobot or LIBERO rerender planning | [`libero-conversion`](sub-skills/libero-conversion/SKILL.md) |
| RoboCasa HDF5, subset, depth/segmentation, or rerender planning | [`robocasa-conversion`](sub-skills/robocasa-conversion/SKILL.md) |
| LeRobot → RLDS/TFDS | [`rlds-export`](sub-skills/rlds-export/SKILL.md) |
| LeRobot v1.6, v2.0, v2.1, or v3.0 migration | [`version-migration`](sub-skills/version-migration/SKILL.md) |

Do not conflate the two RLDS directions: `openx-conversion` consumes an RLDS
builder, while `rlds-export` produces one. Do not use `version-migration` to
convert raw HDF5 or to repair missing modalities.

## Environment contract

Any4LeRobot has no `pyproject.toml`, `setup.py`, or declared distribution. The
usual baseline is a private Python 3.10/3.11 environment with a LeRobot writer
compatible with the selected source script, NumPy, h5py, pyarrow/pandas,
Pillow/OpenCV, tqdm, and the video codec stack. Add only what the route needs:

- `datatrove` for the shared pipeline; Ray/DataTrove Ray extras only for
  distributed execution.
- `tensorflow` and `tensorflow-datasets` for either RLDS direction; Apache Beam
  is optional and should be disabled for small/lossless exports.
- `datasets`, `jsonlines`, `safetensors`, and the exact historical LeRobot
  revision for version migration. Keep v2.x and v3.x environments separate.
- RoboCasa/robosuite or LIBERO plus their assets only for simulator rerendering;
  these are not required for ordinary HDF5 conversion and are not verified by
  this skill.

Verify the installed API rather than trusting a package import alone:

```bash
python -c "from lerobot.datasets.lerobot_dataset import LeRobotDataset, LeRobotDatasetMetadata; print('LeRobot API OK')"
python -c "import h5py, pyarrow, torch, torchcodec; print('core dependencies OK')"
```

The source snapshot mixes historical and current LeRobot import locations. In
particular, a current release may not re-export `LeRobotDataset` from
`lerobot.datasets` or provide `lerobot.datasets.dataset_writer.py`. Treat that
as a compatibility stop gate; do not patch imports or metadata behavior by
guesswork. Read the route-specific troubleshooting before selecting another
revision.

## Safety gates

- Never use the raw source tree as the output root. Inventory existing output
  and temporary paths first; several converters delete an existing destination.
- Never enable `--push-to-hub`, Hub deletion/tagging, Git-LFS moves, or public
  upload during the first local pass. Use a new staging root or test branch.
- Do not run Ray, Beam, simulator rendering, or large video/data conversions as
  an import or help check. Record external datasets, credentials, assets, and
  hardware as explicit prerequisites.
- Preserve source version, feature schemas, task text, and episode counts.
  A successful file open is not proof that all episodes or modalities are
  convertible.

## Shared references

- Read [workflow selection](references/workflow-selection.md) for route
  triggers, directionality, and the preflight record.
- Read [troubleshooting](references/troubleshooting.md) for install/import,
  optional backend, schema, output, and publication failures.
- Run [the environment probe](scripts/check_environment.py) for a no-write
  dependency/API status summary.
- Read [provenance](references/repo-provenance.md) before refresh or when the
  repository commit differs from this generated baseline.

From VectorSpaceLab/AREX-Skill, MIT.

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Stars
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Forks
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Last commit (this folder)
Aug 26, 2026 (2 months ago)
Last release
Sep 2, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

any4lerobot skill. Agent Mart. https://agentmart.dev/skills/vectorspacelab-any4lerobot (last updated 2026-10-24)