Kaggle Automation via OpenClaw
CommunityAutomate Kaggle data pipelines end-to-end.
Authorpeterlianpi
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Kaggle users often spend manual time uploading data, triggering notebooks, and stitching results. This Skill automates the full Kaggle pipeline: data upload, cleaning, merging results, and training, reducing manual steps and enabling faster experimentation.
Core Features & Use Cases
- Stage 1: Upload Raw Data: Package raw data and upload as a new dataset version using Kaggle CLI.
- Stage 2: Trigger Cleaning Notebook: Push updated notebook or trigger a run to clean and preprocess data.
- Stage 3: Wait for Completion: Poll the Kaggle kernel or job status until completion.
- Stage 4: Download Cleaned Output: Retrieve cleaned data outputs for local merging.
- Stage 5: Merge & Train: Merge with local datasets and trigger the training notebook.
- Use Case: Automate monthly dataset refreshes to retrain models with fresh data without manual steps.
Quick Start
Trigger the Kaggle automation by running the Kaggle pipeline to start the full workflow
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Kaggle Automation via OpenClaw Download link: https://github.com/peterlianpi/zolai-ai/archive/main.zip#kaggle-automation-via-openclaw Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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