Transformers
K-Dense-AI/scientific-agent-skills
Hugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and multimodal tasks.
Use Torch Points3D dataset factories, point-cloud data layouts, transforms, filters, collate modes, and safe dataset preflight helpers.
Custom licenceAuto-check passed
Install Datasets Transforms
$ npx skills add VectorSpaceLab/AREX-Skill --skill datasets-transforms -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill datasets-transforms --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/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/torch-points3d/sub-skills/datasets-transforms .claude/skills/datasets-transforms && 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 "datasets-transforms" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/torch-points3d/sub-skills/datasets-transforms into .claude/skills/datasets-transforms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datasets-transforms", 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/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/torch-points3d/sub-skills/datasets-transformsType 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 VectorSpaceLab/AREX-Skill --skill datasets-transforms -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill datasets-transforms --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/torch-points3d/sub-skills/datasets-transforms .agents/skills/datasets-transforms && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "datasets-transforms" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/torch-points3d/sub-skills/datasets-transforms into .agents/skills/datasets-transforms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datasets-transforms", 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 VectorSpaceLab/AREX-Skill --skill datasets-transforms -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill datasets-transforms --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/torch-points3d/sub-skills/datasets-transforms .cursor/skills/datasets-transforms && 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 "datasets-transforms" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/torch-points3d/sub-skills/datasets-transforms into .cursor/skills/datasets-transforms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datasets-transforms", 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/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/torch-points3d/sub-skills/datasets-transforms--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 VectorSpaceLab/AREX-Skill --skill datasets-transforms -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill datasets-transforms --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/torch-points3d/sub-skills/datasets-transforms .gemini/skills/datasets-transforms && 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 "datasets-transforms" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/torch-points3d/sub-skills/datasets-transforms into .gemini/skills/datasets-transforms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datasets-transforms", 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 VectorSpaceLab/AREX-Skill datasets-transformsInstalls 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 VectorSpaceLab/AREX-Skill --skill datasets-transforms -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/torch-points3d/sub-skills/datasets-transforms .github/skills/datasets-transforms && 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 "datasets-transforms" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/torch-points3d/sub-skills/datasets-transforms into .github/skills/datasets-transforms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datasets-transforms", 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 VectorSpaceLab/AREX-Skill --skill datasets-transforms -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill datasets-transforms --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/torch-points3d/sub-skills/datasets-transforms .opencode/skills/datasets-transforms && 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 "datasets-transforms" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/torch-points3d/sub-skills/datasets-transforms into .opencode/skills/datasets-transforms/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datasets-transforms", 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
datasets-transforms- GitHub stars
- 328
- Token cost
- ~1.1k tokens
- SKILL.md length
- 388 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 159
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Use Torch Points3D dataset factories, point-cloud data layouts, transforms, filters, collate modes, and safe dataset preflight helpers.
- SKILL.md covers Read First, Main Workflows, Boundary Rules and Safety Checklist
- Runs Python scripts from its folder; calls python
What it does
Datasets Transforms is an agent skill from VectorSpaceLab/AREX-Skill. Use Torch Points3D dataset factories, point-cloud data layouts, transforms, filters, collate modes, and safe dataset preflight helpers.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/data-layouts.md`, `references/dataset-and-transform-reference.md` and `references/troubleshooting.md`).
The repository describes itself as: A Skill Library for Automated Machine Learning.
Example prompts
- “/datasets-transforms”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit ac3fe1a. 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
Ships 2 files in scripts/ (Python), which the agent can run.
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
Datasets Transforms loads about 1.1k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 39 tokens; SKILL.md has 388 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); the scripts in this folder 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 388 words (~1,061 tokens).
“Use this sub-skill when the user asks about Torch Points3D data configs, torch_geometric.data.Data fields, dataset class resolution, transform/filter YAML, collate behavior, data layout preflights, or adding a dataset to the framework.”
- name
- datasets-transforms
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- NOASSERTION
Files
SKILL.md and 5 other files (scripts, references) in skills/repositories/repo-skills/torch-points3d/sub-skills/datasets-transforms of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/data-layouts.md
- references/dataset-and-transform-reference.md
- references/troubleshooting.md
- scripts/check_scannet_layout.py
- scripts/transform_config_smoke.py
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Datasets Transforms 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 |
|---|---|---|---|---|---|---|
| Datasets Transforms this skillVectorSpaceLab/AREX-Skill | 328 | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| TransformersK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.8k | Automated safety check: Notes | Apache-2.0 | |
| Dataset Transformationawslabs/agent-plugins | 912 | 2 repos | ~3.5k | Automated safety check: Pass | Apache-2.0 | |
| Factory MCPwarpdotdev/warp | 65k | 1 repos | ~237 | Automated safety check: Pass | AGPL-3.0 | |
| Hugging Face Transformers Usagedavila7/claude-code-templates | 32k | 12 repos | ~1.2k | Automated safety check: Pass | MIT | |
| DatasetsArize-ai/phoenix | 12k | — | ~1.6k | Automated safety check: Pass | Custom licence |
Similar skills
- Official
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Loads pre-trained Hugging Face Transformers models for text, vision and audio tasks, runs inference with pipelines and fine-tunes on custom datasets.
Datasets
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Understand what a Phoenix dataset is and reason well about its examples, outputs, splits, and how it feeds evaluators and experiments.
Tabler Page Layouts
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Picks and configures the right layout for a Tabler preview page and covers changing or adding layouts in shared/layouts, including DefaultLayout props and the page-header slot.
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Questions about Datasets Transforms
What does Datasets Transforms do?
Use Torch Points3D dataset factories, point-cloud data layouts, transforms, filters, collate modes, and safe dataset preflight helpers. Datasets Transforms is an agent skill from VectorSpaceLab/AREX-Skill. Use Torch Points3D dataset factories, point-cloud data layouts, transforms, filters, collate modes, and safe dataset preflight helpers.
How do I install Datasets Transforms in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill datasets-transforms -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/torch-points3d/sub-skills/datasets-transforms in VectorSpaceLab/AREX-Skill) into .claude/skills/datasets-transforms in your project. Claude Code loads it when a task matches its description.
How do I install Datasets Transforms in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill datasets-transforms -a codex`. Or copy the skill folder (skills/repositories/repo-skills/torch-points3d/sub-skills/datasets-transforms in VectorSpaceLab/AREX-Skill) into .agents/skills/datasets-transforms in your project. Codex loads it when a task matches its description.
Can I use Datasets Transforms 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 VectorSpaceLab/AREX-Skill --skill datasets-transforms -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/datasets-transforms, .gemini/skills/datasets-transforms, .github/skills/datasets-transforms and .opencode/skills/datasets-transforms in your project.
What does Datasets Transforms need to run?
Going by SKILL.md and its folder, Datasets Transforms needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Datasets Transforms 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 Datasets Transforms 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Datasets Transforms use?
Datasets Transforms has a licence file (declared in SKILL.md) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Datasets Transforms use?
About 1.1k tokens (SKILL.md is roughly 4.2k 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 3k tokens, read only when the agent opens those files.
What are the alternatives to Datasets Transforms?
Skills that share tags, products or a category with Datasets Transforms: Transformers (K-Dense-AI/scientific-agent-skills, 48k stars), Dataset Transformation (awslabs/agent-plugins, 912 stars), Factory MCP (warpdotdev/warp, 65k stars) and Hugging Face Transformers Usage (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Datasets Transforms?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 328 GitHub stars. The repository holds 159 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.