Search Kaggle, Hugging Face, UCI ML Repository, and Data.gov for datasets.
npx skills add https://github.com/anisafifi/agent-skills --skill dataset-finder
Please help me install this Agent Skill. Skill: dataset-finder Source: https://github.com/anisafifi/agent-skills/tree/main/dataset-finder Command: npx skills add https://github.com/anisafifi/agent-skills --skill dataset-finder
This skill enables users to search, download, preview, and document datasets from multiple repositories (Kaggle, Hugging Face, UCI ML Repository, and Data.gov) in a unified workflow, reducing time spent on data discovery and preparation.
Install OpenClawCLI and dependencies, then run the dataset finder to locate, download, and inspect datasets from multiple sources.
High-intent search queries and answers about installing and using this skill.
Cross-repo dataset search queries Kaggle, Hugging Face, UCI ML Repository, and Data.gov simultaneously. It uses the Kaggle API and Hugging Face Hub to locate relevant datasets across multiple repositories within a single unified workflow.
Dataset preview displays basic statistics and sample data to assess suitability before use. It leverages pandas to inspect downloaded files, helping you evaluate datasets from Hugging Face or Kaggle without committing to full integration.
Automatic data card generation creates documentation for datasets, including schema and usage notes. It extracts metadata from downloaded files using pandas and BeautifulSoup to produce structured documentation for your machine learning projects.
Kaggle API and Hugging Face Hub dependencies require proper authentication credentials configured in your environment. You must set up these API tokens before the skill can execute search, download, or batch operations across the supported repositories.
Local dataset organization manages downloaded data assets from Kaggle, Hugging Face, UCI ML Repository, and Data.gov. The skill lists local datasets and supports batch operations to keep files structured for downstream machine learning tasks.
A cross-repo dataset finder reduces time spent on data discovery and preparation by searching multiple repositories in one workflow. It unifies search, download, preview, and documentation tasks, eliminating the need to navigate each platform individually.
nyxoraAIManage Hugging Face Hub model and dataset operations via hf CLI.
youyinnnGenerate statistical visualizations from pandas DataFrames using the seaborn Python library.
LeandroBenjaminLScrape HTML and JavaScript-heavy web pages with requests, BeautifulSoup, Selenium, and Playwright.
zangxin75Search, download, and manage datasets from Kaggle, Hugging Face, UCI ML, and Data.gov.
