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dominodatalab/dominodatalab

v2026.603.5MIT

Domino Data Lab skills for Workspaces, Jobs, Compute Environments, Datasets, Projects, Apps, model endpoints and monitoring, MLflow experiment tracking, GenAI tracing, Flows, Spark/Ray/Dask clusters, governance, and the Domino APIs and SDKs

domino-modeling-assistant

Enable AI-assisted model development (vibe modeling) in Domino. The assistant writes the data-analysis, model and training code and uses the bundled Domino MCP server to run it as Domino Jobs, wait for and read their output, and read, upload and sync files (text or binary) for DFS projects, so work stays reproducible, governed and tracked in Experiment Manager. Use when setting up an AI coding assistant to work with Domino, configuring or troubleshooting the Domino MCP server, or when the user asks to analyze a dataset, train or compare models, or run scripts as Domino Jobs from a coding assistant.

Compatibility
Domino 6.3 and Domino Cloud. Inside a Domino Workspace the bundled MCP server calls the platform through DOMINO_API_PROXY with no credentials; outside Domino it needs DOMINO_HOST and DOMINO_TOKEN (a Personal Access Token or service account token).
Read SKILL.md at the source

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