Kaggle Learner

If you're working on Kaggle competitions or want to learn from winning solutions, this extracts and organizes techniques from top performers across NLP, computer vision, time series, tabular, and multimodal domains. Feed it a competition URL and it pulls out detailed technical analysis from the top 20 solutions, including specific tricks, model configs, and code templates, all sorted into a structured knowledge base. The self-evolving aspect is clever: the more competitions you mine, the richer your reference library gets. It's essentially building you a personal playbook of what actually works in production ML competitions, which beats reading scattered forum posts when you're trying to move up the leaderboard.

skills.sh installs: 446
GitHub stars: 6K
last updated: Aug 21, 2026

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Install

$ npx -y skills add galaxy-dawn/claude-scholar --skill kaggle-learner --agent claude-code

Installs into .claude/skills of the current project.

Files

Kaggle Learner

Extract and apply knowledge from Kaggle competition winning solutions. This skill provides access to a continuously updated knowledge base of techniques, code patterns, and best practices from top Kaggle competitors.

Overview

Kaggle competitions are at the forefront of practical machine learning. Winning solutions often innovate with novel techniques, clever feature engineering, and optimized pipelines. This skill captures that knowledge and makes it accessible for your projects.