By pokutuna
Kaggle discussion and notebook analysis commands for competition research
Claude Code plugins by pokutuna.
Add this marketplace to Claude Code:
/plugin marketplace add https://github.com/pokutuna/claude-plugins
Then install plugins:
/plugin install <plugin-name>@pokutuna-plugins
Install plugins with user scope (default), then enable per-project via <project>/.claude/settings.json:
{
"enabledPlugins": {
"runpod@pokutuna-plugins": true
}
}
Project-scoped installation has known bugs that prevent installing the same plugin to multiple projects:
| Plugin | Description |
|---|---|
| allow-until | Time-limited auto-approval mode for Claude Code sessions |
| actions-ubuntu-slim-migration | Analyze and migrate GitHub Actions to ubuntu-slim for cost reduction |
| cloud-logging | Investigate Google Cloud Logging with gcloud/jq/duckdb |
| vertexai-gemini-batch | Run Vertex AI Batch Prediction for Gemini (50% OFF) |
| hydra-experiment | Guide Hydra-based ML experiment management |
| runpod | RunPod GPU cloud management - check GPU availability, upload models |
| uv-features | Recommend lesser-known uv features (PEP 723, uvx, uv run --with, etc.) |
| side-fork | Fork session and open original in a new tmux pane (new pane = experimental branch) |
| kaggle-helper | Kaggle discussion and notebook analysis for competition research |
| things-app | Read and update tasks in Things 3 via JXA |
| toggle-plugin | Toggle plugins enabled/disabled per project |
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Direct access to your browser's open tabs content via MCP
Read and update tasks in Things 3 via AppleScript/JXA
Toggle Claude Code plugins enabled/disabled per project via .claude/settings.json
Generate batch input files and run Vertex AI Batch Prediction for Gemini
Hydra を使った機械学習実験管理のセットアップと実行をガイドするプラグイン
Complete Kaggle integration: competition reports, dataset/model downloads, notebook execution, submissions, hackathon writeup retrieval, and badge collection.
Self-documenting, self-improving framework for analytical repositories
ML experiment tracking with metrics logging and run comparison
Scientific research agent extension - turns research goals into reproducible Jupyter notebooks with Python REPL, data analysis, and ML workflows
Query Google NotebookLM notebooks for source-grounded, citation-backed answers. Manage notebook library and conduct research directly from Claude Code.
Track and analyze AI experiments with a web dashboard and MCP tools
npx claudepluginhub pokutuna/claude-plugins --plugin kaggle-helper