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kaggle-skill

Skill Data & Analytics Usable
Works inClaude Code
Usable Scanned — metadata only

Enables AI agents to autonomously fetch competition data, run experiments, and track progress on Kaggle—reducing manual dataset handling and accelerating dat…

Complete Kaggle integration plugin/skill for AI coding agents — competition reports, dataset/model downloads, notebook execution, and badge collection. Works with Claude Code, Gemini CLI, Cursor, Codex, OpenClaw, and 35+ agents via skills.sh.

82 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Enables AI agents to autonomously fetch competition data, run experiments, and track progress on Kaggle—reducing manual dataset handling and accelerating data science iteration cycles for teams using multi-agent workflows.

Data science teams leveraging AI coding agents to automate Kaggle competition participation and dataset sourcing.

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https://github.com/shepsci/kaggle-skill

By shepsci

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
npx skills add shepsci/kaggle-skill

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

After installing, paste this into Claude:

Help me download competition datasets and train machine learning models locally without manual Kaggle setup
CostFree

Trust Signals Auto-scanned

Stars82Contributors5Last updated2026-07-04LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-18 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 70 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 70 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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