Use Case
Stop doing repetitive data & analytics tasks manually. Dataset Finder lets your AI agent handle them automatically through natural conversation. Use this skill when users need to search for datasets, download data files, or explore data repositories. Triggers include: requests to "find datasets", "search for data", "download dataset from Kaggle", "get data from Hugging Face", "find ML datasets", or mentions of data repositories like Kaggle, UCI ML Repository, Data.gov, or Hugging Face. Also use for previewing dataset statistics, generating data cards, or discovering datasets for machine learning projects. Requires OpenClawCLI installation from clawhub.ai. This guide shows practical examples of using Dataset Finder to automate common data & analytics workflows and save hours every week.
Install Dataset Finder: npx clawhub@latest --dir ~/.claude/skills install dataset-finder
Identify the repetitive data & analytics tasks you want to automate
Describe the task to your AI in plain English
Dataset Finder will execute the task and return results directly in the chat
Chain multiple tasks: ask your AI to run a sequence of operations
Copy these prompts and use them with your AI agent after installing Dataset Finder
Automate my data & analytics tasks using Dataset Finder
What repetitive tasks can Dataset Finder handle for me?
Set up a workflow that runs Dataset Finder every morning
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install dataset-finderOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install dataset-finderβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/dataset-finder/π‘Extract and place the folder at the path above, then restart your agent.