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Kaggle Skill

Name: Kaggle Skill (Claude Skill)
Author: shepsci

Complete Kaggle integration — competition reports, dataset/model downloads, notebook execution.

A skill that wires Kaggle into Claude Code: list competitions, download datasets/models, submit predictions, fetch notebook executions, track badges. Works across Claude Code, Cursor, Codex, Gemini CLI through skills.sh.

▶ Demo ansehen 📦 Installieren 💡 Anwendungsfälle

Warum nutzen

Hauptfunktionen

Competition browsing + submission
Dataset and model download with versioning
Notebook execution status + outputs
Badge progress tracking
Multi-agent compatibility via skills.sh standard

Live-Demo

In der Praxis

kaggle-skill.replay ▶ bereit

0/0

Installieren

Wählen Sie Ihren Client

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "kaggle-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/shepsci/kaggle-skill",
        "~/.claude/skills/kaggle-skill"
      ],
      "_inferred": true
    }
  }
}

Öffne Claude Desktop → Settings → Developer → Edit Config. Nach dem Speichern neu starten.

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "kaggle-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/shepsci/kaggle-skill",
        "~/.claude/skills/kaggle-skill"
      ],
      "_inferred": true
    }
  }
}

Cursor nutzt das gleiche mcpServers-Schema wie Claude Desktop. Projektkonfiguration schlägt die globale.

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "kaggle-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/shepsci/kaggle-skill",
        "~/.claude/skills/kaggle-skill"
      ],
      "_inferred": true
    }
  }
}

Klicken Sie auf das MCP-Servers-Symbol in der Cline-Seitenleiste, dann "Edit Configuration".

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "kaggle-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/shepsci/kaggle-skill",
        "~/.claude/skills/kaggle-skill"
      ],
      "_inferred": true
    }
  }
}

Gleiche Struktur wie Claude Desktop. Windsurf neu starten zum Übernehmen.

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "kaggle-skill",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/shepsci/kaggle-skill",
        "~/.claude/skills/kaggle-skill"
      ]
    }
  ]
}

Continue nutzt ein Array von Serverobjekten statt einer Map.

~/.config/zed/settings.json

{
  "context_servers": {
    "kaggle-skill": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/shepsci/kaggle-skill",
          "~/.claude/skills/kaggle-skill"
        ]
      }
    }
  }
}

In context_servers hinzufügen. Zed lädt beim Speichern neu.

claude mcp add kaggle-skill -- git clone https://github.com/shepsci/kaggle-skill ~/.claude/skills/kaggle-skill

Einzeiler. Prüfen mit claude mcp list. Entfernen mit claude mcp remove.

Anwendungsfälle

Praxisnahe Nutzung: Kaggle Skill

Pull a competition dataset, train a baseline, submit predictions

👤 Kagglers iterating fast ⏱ ~15 min intermediate

Wann einsetzen: You want to get a first submission on the leaderboard quickly.

Voraussetzungen

Server/skill installed and authenticated — See repo README

Ablauf

Pull data

Use the Kaggle skill to download the latest version of competition 'titanic' to ./data.✓ Kopiert

→ Dataset downloaded; files listed
Submit

After my notebook runs, submit submission.csv with message 'baseline LR'.✓ Kopiert

→ Submission id + public score when scored

Ergebnis: A real submission on the leaderboard with one chat.

Fallstricke

Daily submission limits per competition — usually 5–10. The skill warns when you're close. — Daily submission limits per competition — usually 5–10. The skill warns when you're close.

Kombinieren mit: filesystem

Kombinationen

Mit anderen MCPs für 10-fache Wirkung

kaggle-skill + filesystem

Pair with filesystem

Use this skill together with filesystem.✓ Kopiert

Werkzeuge

Was dieses MCP bereitstellt

Werkzeug	Eingaben	Wann aufrufen	Kosten
list_competitions	category, status	Find active competitions	1 API call
download_dataset	ref, version	Pull a dataset locally	Disk I/O
submit	competition, file, message	Submit predictions	1 API call

Kosten & Limits

Was der Betrieb kostet

API-Kontingent: Kaggle rate limits apply
Tokens pro Aufruf: Varies
Kosten in €: Free for public competitions
Tipp: Cache downloads.

Sicherheit

Rechte, Secrets, Reichweite

Credential-Speicherung: ~/.kaggle/kaggle.json with chmod 600

Datenabfluss: kaggle.com

Fehlerbehebung

Häufige Fehler und Lösungen

403 Forbidden on download

Accept the competition's rules on Kaggle first via the web UI. The CLI cannot accept rules.

Prüfen: Visit competition page

kaggle.json missing

Place your API token at ~/.kaggle/kaggle.json with chmod 600.

Prüfen: kaggle competitions list

Alternativen

Kaggle Skill vs. andere

Alternative	Wann stattdessen	Kompromiss
Kaggle CLI directly	You want raw CLI	No agent integration

Mehr

Ressourcen

📖 Offizielle README auf GitHub lesen

🐙 Offene Issues ansehen

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