From antigravity-awesome-skills
Queries Hugging Face datasets via Dataset Viewer API for splits, preview/paginated rows, search, filters, parquet links, size, statistics, and metadata. For read-only exploration.
How this skill is triggered — by the user, by Claude, or both
Slash command
/antigravity-awesome-skills:hugging-face-dataset-viewerThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use this skill when you need read-only exploration of a Hugging Face dataset through the Dataset Viewer API.
Use this skill when you need read-only exploration of a Hugging Face dataset through the Dataset Viewer API.
Use this skill to execute read-only Dataset Viewer API calls for dataset exploration and extraction.
/is-valid.config + split with /splits./first-rows./rows using offset and length (max 100)./search for text matching and /filter for row predicates./parquet and totals/metadata via /size and /statistics.https://datasets-server.huggingface.coGEToffset is 0-based.length max is usually 100 for row-like endpoints.Authorization: Bearer <HF_TOKEN>.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=<config>&split=<split>&query=<text>&offset=<int>&length=<int>Filter with predicates: /filter?dataset=<namespace/repo>&config=<config>&split=<split>&where=<predicate>&orderby=<sort>&offset=<int>&length=<int>List parquet shards: /parquet?dataset=<namespace/repo>Get size totals: /size?dataset=<namespace/repo>Get column statistics: /statistics?dataset=<namespace/repo>&config=<config>&split=<split>Get Croissant metadata (if available): /croissant?dataset=<namespace/repo>Pagination pattern:
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"
When pagination is partial, use response fields such as num_rows_total, num_rows_per_page, and partial to drive continuation logic.
Search/filter notes:
/search matches string columns (full-text style behavior is internal to the API)./filter requires predicate syntax in where and optional sort in orderby.Use npx parquetlens with Hub parquet alias paths for SQL querying.
Parquet alias shape:
hf://datasets/<namespace>/<repo>@~parquet/<config>/<split>/<shard>.parquet
Derive <config>, <split>, and <shard> from Dataset Viewer /parquet:
curl -s "https://datasets-server.huggingface.co/parquet?dataset=cfahlgren1/hub-stats" \
| jq -r '.parquet_files[] | "hf://datasets/\(.dataset)@~parquet/\(.config)/\(.split)/\(.filename)"'
Run SQL query:
npx -y -p parquetlens -p @parquetlens/sql parquetlens \
"hf://datasets/<namespace>/<repo>@~parquet/<config>/<split>/<shard>.parquet" \
--sql "SELECT * FROM data LIMIT 20"
--sql "COPY (SELECT * FROM data LIMIT 1000) TO 'export.csv' (FORMAT CSV, HEADER, DELIMITER ',')"--sql "COPY (SELECT * FROM data LIMIT 1000) TO 'export.json' (FORMAT JSON)"--sql "COPY (SELECT * FROM data LIMIT 1000) TO 'export.parquet' (FORMAT PARQUET)"Use one of these flows depending on dependency constraints.
Zero local dependencies (Hub UI):
https://huggingface.co/new-datasetcurl -s "https://datasets-server.huggingface.co/parquet?dataset=<namespace>/<repo>"
Low dependency CLI flow (npx @huggingface/hub / hfjs):
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
After upload, call /parquet to discover <config>/<split>/<shard> values for querying with @~parquet.
npx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-awesome-skillsQuery Hugging Face datasets through the Dataset Viewer API for splits, rows, search, filters, and parquet links.
Read-only Hugging Face Dataset Viewer API workflows: validate datasets, list splits, preview rows, paginate, search text, filter, get parquet URLs, size, and statistics.
Uploads, validates, and manages datasets for DataRobot projects. Handles file uploads, data quality checks, schema review, and prediction dataset preparation.