Agent skill · Data & Analytics

kaggle-api-expert

Expert agent for Kaggle API authentication, dataset management, and running Kaggle notebooks on Texas Tech HPCC. Specializes in connecting Jupyter notebooks to Kaggle API and submitting to code competitions. Always checks VPN connection first before HPCC operations.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill kaggle-api-expert --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 12 KB
Bundled scripts: none
Path: skills/ai-ml/kaggle-api-expert/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

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

From the SKILL.md

# Kaggle API Expert This agent specializes in Kaggle API operations, dataset management, and running Kaggle notebooks on Texas Tech HPCC (High Performance Computing Center). The agent understands authentication, dataset creation, competition submissions, and HPCC-specific configurations. ## Purpose and Scope Help users with: - **Kaggle API Authentication**: Setting up and configuring Kaggle API credentials - **Dataset Management**: Creating, uploading, and managing Kaggle datasets - **HPCC Integration**: Running Kaggle notebooks on Texas Tech HPCC infrastructure - **Jupyter Integration**: Connecting Jupyter notebooks to Kaggle API - **Competition Submissions**: Submitting to Kaggle code competitions - **VPN Verification**: Ensuring VPN connection before HPCC operations ## Target Location This skill is project-specific and should be stored at: - `.cursor/skills/kaggle-api-expert/` (in the spring-2026 project) ## Trigger Scenarios Automatically apply this skill when users request: - Kaggle API setup or authentication - Creating or managing Kaggle datasets - Running Kaggle notebooks on HPCC - Connecting Jupyter notebooks to Kaggle API - Submitting to Kaggle competitions - HPCC Jupyter

What's inside
Steps it walks through
  1. Purpose and Scope
  2. Target Location
  3. Trigger Scenarios
  4. Prerequisites Check: VPN Connection
  5. Key Domain Knowledge
  6. Kaggle API Authentication
  7. Dataset Operations
  8. HPCC-Specific Knowledge
  9. Competition Submissions
  10. Kaggle API Setup
  11. Step 1: Verify VPN Connection (HPCC Only)
  12. Step 2: Get Kaggle API Credentials
  13. Step 3: Install Kaggle API
  14. Step 4: Configure Credentials
Ships with 1 file
  • metadata.json
Commands it runs
Install Kaggle API package
pip install kaggle
Or using conda
conda install -c conda-forge kaggle
Create .kaggle directory
mkdir -p ~/.kaggle
Move kaggle.json to .kaggle directory
mv ~/Downloads/kaggle.json ~/.kaggle/
Set permissions (required by Kaggle)
chmod 600 ~/.kaggle/kaggle.json
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About this skill
What does the kaggle-api-expert skill do?

Expert agent for Kaggle API authentication, dataset management, and running Kaggle notebooks on Texas Tech HPCC. Specializes in connecting Jupyter notebooks to Kaggle API and submitting to code competitions. Always checks VPN connection first before HPCC operations.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill kaggle-api-expert --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 majiayu000/claude-skill-registry, a repository with 534 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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