Agentic Data Science Competition

About this skill

AI Agent-driven Kaggle competition workflow. Learn from real competition experience: score stabilization patterns, submission troubleshooting, kernel workflows, GPU task delegation, and the spec-driven development approach that achieved top leaderboard positions. Use when: working on any Kaggle competition, analyzing submission failures, setting up automated pipelines, or replicating top notebook solutions.

Quick start

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 9fd9ab116e0925fae091f18a9c9f78ea158449ad05d16fee98d7314010cc0901

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Original listing metadata

Original name

agentic-data-science-competition

Original description

About this listing

Category: Science & research
Reported license: MIT
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.