Agentic Data Science Competition

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.

7 starsAI, LLMs & Agents

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add Mirannonarbitrable290/agentic-kaggle-skill --skill agentic-data-science-competition

Manual install

git clone --depth 1 https://github.com/Mirannonarbitrable290/agentic-kaggle-skill.git /tmp/agentic-kaggle-skill
mkdir -p ~/.claude/skills
cp -r /tmp/agentic-kaggle-skill/. ~/.claude/skills/agentic-data-science-competition

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# Agentic Data Science Competition

> *「The agent doesn't just submit — it learns from failures, adapts strategies, and iterates autonomously.」*

## Core Philosophy

This skill distills practical patterns from real competition experience:

1. **Agents as teammates** — Not just tools, but collaborators that can research, debug, and iterate
2. **Spec-driven development** — Document before coding, delegate with clear constraints
3. **Fail fast, learn faster** — Early scores are misleading; systematic debugging wins
4. **Automation where it matters** — Cronjobs for monitoring, delegation for complex work

---

## Quick Reference

### When to Use This Skill

| Trigger | Action |
|---------|--------|
| Starting a new competition | → Read "Project Setup" section |
| Submission returns 400 error | → Check "Troubleshooting" section |
| Score dropped unexpectedly | → Read "Score Stabilization" section |
| Need to replicate top notebook | → Use "Replication Workflow" |
| Kernel push fails | → Check "Kernel Workflow" section |
| GPU required but unavailable | → Use "Delegation Strategy" |

### Key Commands

```bash
# Submit to competition
kaggle competitions submit <name> -f <file> -m "<message>"

# Check submission status
kaggle competitions submissions <name>

# Pull top notebook WITH metadata
kaggle kernels pull <owner>/<kernel> -p ./path/ -m

# Push kernel to Kaggle
kaggle kernels push -p ./path/

# Monitor kernel status
kaggle kernels status <username>/<kernel-name>
```

---

Read the full skill on GitHub

Details

Skill name: agentic-data-science-competition
Repository: Mirannonarbitrable290/agentic-kaggle-skill
License: MIT
Repo updated: 13 October 2026

FAQ

What does the Agentic Data Science Competition skill do?

How do I install the Agentic Data Science Competition skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add Mirannonarbitrable290/agentic-kaggle-skill --skill agentic-data-science-competition. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Agentic Data Science Competition popular?

It lives in Mirannonarbitrable290/agentic-kaggle-skill, which has 7 GitHub stars and 0 forks.

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