dominodatalab/domino-claude-plugin
Plugin Claude Code
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams.
dominodatalab/domino-claude-plugin
MCP server Claude CodeCodexCursor +2
MCP server "dominoserver" as configured in dominodatalab/domino-claude-plugin. Launched with uv --directory $/mnt/code/.claude/mcp-servers/domino_mcp_server run domino_mcp_s. Needs 2 environment variables to run.
dominodatalab/domino-claude-plugin
Agent
Specialized agent for debugging Domino issues including app deployment problems, job failures, environment build errors, and connectivity issues. Use PROACTIVELY when troubleshooting errors or unexpected behavior in Domino.
dominodatalab/domino-claude-plugin
Agent
Specialized agent for deploying applications, models, and endpoints to Domino. Use PROACTIVELY when deploying React/Streamlit/Dash apps, publishing model APIs, or configuring deployments.
dominodatalab/domino-claude-plugin
Agent
Specialized agent for setting up new Domino projects, environments, and configurations. Use PROACTIVELY when starting a new project, configuring experiment tracking, setting up GenAI tracing, or initializing project structure.
dominodatalab/domino-claude-plugin
Command
Initialize a new Domino-ready web application with Vite+React, Streamlit, Dash, or Flask. Configures proxy-compatible settings and app.sh.
dominodatalab/domino-claude-plugin
Command
Debug Domino proxy and routing issues for web applications. Analyzes vite.config.js, package.json, and app.sh for misconfigurations.
dominodatalab/domino-claude-plugin
Command
Set up MLflow experiment tracking for traditional ML. Configures unique experiment names and auto-logging.
dominodatalab/domino-claude-plugin
Command
Set up GenAI tracing for an agent or LLM application. Adds Domino SDK imports, @addtracing decorators, and DominoRun context.
dominodatalab/domino-claude-plugin
Skill Claude CodeCodex
Access external LLM providers through Domino AI Gateway - a secure proxy with centralized API key management, usage monitoring, and compliance. Supports OpenAI, AWS Bedrock, Azure OpenAI, Anthropic, and more. Use when calling LLMs from Domino, configuring AI Gateway endpoints, or monitoring LLM usage and costs.
dominodatalab/domino-claude-plugin
Skill Claude CodeCodex
Deploy web applications to Domino Data Lab with expertise in React apps (Vite) behind Domino's reverse proxy. Covers app.sh configuration, port configuration, base path handling for SPAs, CI/CD with GitHub Actions, and proxy troubleshooting. Use when deploying apps to Domino, setting up CI/CD pipelines, fixing broken…
dominodatalab/domino-claude-plugin
Skill Claude CodeCodex
Connect Domino workloads to external data sources including AWS S3 (via Mountpoint CSI driver), credential propagation with AWS IRSA and Azure Entra ID, and External Data Volumes. Use when configuring S3 access, setting up credential propagation, or connecting to cloud data sources from Domino.
dominodatalab/domino-claude-plugin
Skill Claude CodeCodex
Work with Domino Datasets - high-performance, versioned filesystem storage. Covers dataset creation, snapshots for versioning, sharing across projects, mounting paths (/domino/datasets/), and performance optimization. Use when managing data storage, creating reproducible data versions, or sharing data between projects.
dominodatalab/domino-claude-plugin
Skill Claude CodeCodex
Work with distributed computing frameworks in Domino including Apache Spark, Ray, and Dask clusters. Covers cluster configuration, on-demand clusters, choosing between frameworks, PySpark usage, and scaling workloads. Use when processing large datasets, parallel ML training, or running distributed compute jobs.
dominodatalab/domino-claude-plugin
Skill Claude CodeCodex
Use the domino-data Python SDK (dominodatalab-data) for programmatic data access in Domino. Covers DataSourceClient for SQL queries and object storage, DatasetClient for dataset files, TrainingSets for ML data versioning, Feature Store, and VectorDB (Pinecone) integration. Use when querying data sources, downloading…
dominodatalab/domino-claude-plugin
Skill Claude CodeCodex
Manage model risk governance in Domino using policies, bundles, and evidence. Covers creating governance bundles, attaching model artifacts and MLflow results as evidence, progressing through policy stages, and documenting findings. Use when the user mentions governance, compliance, bundles, policies, model risk…
dominodatalab/domino-claude-plugin
Skill Claude CodeCodex
Bootstrap or retrofit a Vite + React 18 + TypeScript project so it uses the Domino design system (@dominodatalab/extensions-tools). Scoped to projects that are (or will be) a fully standalone SPA frontend for a Domino application or extension — not snippets, library additions, or work inside an existing Domino…
dominodatalab/domino-claude-plugin
Skill Claude CodeCodex
Build Domino-styled web applications matching the Domino Design System. Use when creating or styling Domino apps (Dash, Streamlit, Flask, FastAPI+HTML), generating UI components, reviewing UX, or when the user mentions "Domino app", "Domino UI", "Domino dashboard", or "Domino design system". Covers the full stack …
dominodatalab/domino-claude-plugin
Skill Claude CodeCodex
Create and customize Domino Compute Environments - Docker containers defining tools, packages, and configurations. Covers Dockerfile customization, package installation, IDE configuration, DSE (Domino Standard Environments), and troubleshooting build failures. Use when installing dependencies, customizing…
dominodatalab/domino-claude-plugin
Skill Claude CodeCodex
Track traditional ML experiments in Domino using the MLflow-based Experiment Manager. Covers experiment setup, auto-logging for sklearn/TensorFlow/PyTorch, manual logging, artifact storage, run comparison, and model registration. Use when training ML models, logging metrics and parameters, comparing model runs, or…
dominodatalab/domino-claude-plugin
Skill Claude CodeCodex
Orchestrate multi-step ML workflows using Domino Flows (built on Flyte). Define DAGs with typed inputs/outputs, heterogeneous environments, automatic lineage, and reproducibility. Use when building data pipelines, multi-stage training workflows, or processes requiring orchestration and monitoring.
dominodatalab/domino-claude-plugin
Skill Claude CodeCodex
Trace and evaluate GenAI applications including LLM calls, agents, RAG pipelines, and multi-step AI systems in Domino. Uses the Domino SDK (@addtracing decorator, DominoRun context) with MLflow 3.2.0. Captures token usage, latency, cost, tool calls, and errors. Supports LLM-as-judge evaluators and custom metrics. Use…
dominodatalab/domino-claude-plugin
Skill Claude CodeCodex
Create, run, and manage Domino Jobs - batch executions for scripts, training, and data processing. Covers job configuration, hardware tiers, scheduled jobs (cron), monitoring status, viewing logs, and API-driven execution. Use when running batch workloads, scheduling recurring tasks, or automating training pipelines.
dominodatalab/domino-claude-plugin
Skill Claude CodeCodex
Create Domino Launchers - parameterized web forms for self-service job execution. Enable business users to run analyses, generate reports, and trigger batch predictions without coding. Covers parameter types, email notifications, result delivery, and access control. Use when building self-service data products or…