By pokutuna
Generate batch input files and run Vertex AI Batch Prediction for Gemini
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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npx claudepluginhub pokutuna/claude-plugins --plugin vertexai-gemini-batchDirect access to your browser's open tabs content via MCP
Read and update tasks in Things 3 via AppleScript/JXA
Kaggle discussion and notebook analysis commands for competition research
Toggle Claude Code plugins enabled/disabled per project via .claude/settings.json
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
Terraform configurations for Vertex AI platform and Agent Engine
Machine learning training and inference pipeline using cloud GPUs (Modal, Lambda Labs, RunPod) with HuggingFace ecosystem - no local GPU required
Evaluate and compare ML model performance metrics
Standalone image generation plugin using Nano Banana MCP server. Generates and edits images, icons, diagrams, patterns, and visual assets via Gemini image models. No Gemini CLI dependency required.
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.