Agent skill · Data & Analytics

huggingface-datasets

Q: How do I install it?

Run `npx skills add waybarrios/opencode-power-pack --skill huggingface-datasets --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Q: Where does this skill come from?

From waybarrios/opencode-power-pack, a repository with 443 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Q: Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.

Wayner Barrios443★ · 1 repos on radarProfile →

claude-codeMIT

Install

npx skills add waybarrios/opencode-power-pack --skill huggingface-datasets --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts

Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/huggingface-datasets/SKILL.md
Open the folder on GitHub →

Where it comes from

Source: waybarrios/opencode-power-pack
Stars: 443
Language: JavaScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Hugging Face Dataset Viewer Use this skill to execute read-only Dataset Viewer API calls for dataset exploration and extraction. ## Core workflow 1. Optionally validate dataset availability with `/is-valid`. 2. Resolve `config` + `split` with `/splits`. 3. Preview with `/first-rows`. 4. Paginate content with `/rows` using `offset` and `length` (max 100). 5. Use `/search` for text matching and `/filter` for row predicates. 6. Retrieve parquet links via `/parquet` and totals/metadata via `/size` and `/statistics`. ## Defaults - Base URL: `https://datasets-server.huggingface.co` - Default API method: `GET` - Query params should be URL-encoded. - `offset` is 0-based. - `length` max is usually `100` for row-like endpoints. - Gated/private datasets require `Authorization: Bearer <HF_TOKEN>`. ## Dataset Viewer - `Validate dataset`: `/is-valid?dataset=<namespace/repo>` - `List subsets and splits`: `/splits?dataset=<namespace/repo>` - `Preview first rows`: `/first-rows?dataset=<namespace/repo>&config=<config>&split=<split>` - `Paginate rows`: `/rows?dataset=<namespace/repo>&config=<config>&split=<split>&offset=<int>&length=<int>` - `Search text`: `/search?dataset=<namespace/repo>&config=<

What's inside

Steps it walks through

Core workflow
Defaults
Dataset Viewer
Creating and Uploading Datasets
Agent Traces

Commands it runs

curl "https://datasets-server.huggingface.co/rows?dataset=stanfordnlp/imdb&config=plain_text&split=train&offset=0&length=100"
curl "https://datasets-server.huggingface.co/rows?dataset=stanfordnlp/imdb&config=plain_text&split=train&offset=100&length=100"
curl -s "https://datasets-server.huggingface.co/parquet?dataset=<namespace>/<repo>"
export HF_TOKEN=<your_hf_token>
npx -y @huggingface/hub upload datasets/<namespace>/<repo> ./local/parquet-folder data
npx -y @huggingface/hub upload datasets/<namespace>/<repo> ./local/parquet-folder data --private
hf repos create <namespace>/<repo> --type dataset --private --exist-ok
hf upload <namespace>/<repo> ~/.codex/sessions codex/<project-or-cwd> --type dataset

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About this skill

What does the huggingface-datasets skill do?

Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.

How do I install it?

Run `npx skills add waybarrios/opencode-power-pack --skill huggingface-datasets --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From waybarrios/opencode-power-pack, a repository with 443 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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