Domino Data Lab
Official@dominodatalab · San Francisco
Enterprise platform for managing distributed machine learning lifecycles, model deployment, and collaborative data science environments.
Agent Skills by Domino Data Lab
Showing 19 vetted skills indexed across 1 GitHub repositories.
dominodatalabdomino-model-endpoints
Deploy, monitor, and scale ML models as API endpoints in Domino Data Lab.
dominodatalabdomino-python-sdk
Automate Domino Data Lab workflows via the python-domino SDK and REST APIs.
dominodatalabdomino-distributed-computing
Configure and launch Spark, Ray, and Dask clusters in Domino Data Lab.
dominodatalabdomino-ai-gateway
Access external LLM providers through Domino AI Gateway with centralized API key management.
dominodatalabdomino-model-monitoring
Monitor deployed Domino Data Lab models for data and concept drift.
dominodatalabdomino-vibe-modeling
Run AI coding assistant commands as secure Domino Data Lab jobs.
dominodatalabdomino-environments
Create and customize Domino Compute Environments with Dockerfile configuration and package management.
dominodatalabdomino-genai-tracing
Traces ML model runs and manages the model lifecycle in MLflow.
dominodatalabdomino-projects
Manage Domino Data Lab projects with Git integration and collaboration features.
dominodatalabdomino-datasets
Create, version, and share Domino Datasets with snapshots and tags.
dominodatalabdomino-workspaces
Manage Domino Data Lab workspaces for Jupyter, VS Code, and RStudio.
dominodatalabdomino-ui-design
Create React components styled with Ant Design 5.x and Domino theme tokens.
dominodatalabdomino-launchers
Create parameterized web forms for self-service job execution.
dominodatalabdomino-data-sdk
Query SQL databases and access datasets via the domino-data Python SDK.
dominodatalabdomino-experiment-tracking
Track MLflow experiments in Domino Data Lab with auto-logging.
dominodatalabdomino-data-connectivity
Connect Domino workloads to external data sources and cloud services.
dominodatalabdomino-jobs
Create, schedule, and monitor batch jobs on the Lab platform.
dominodatalabdomino-app-deployment
Deploy React Vite applications to Domino Data Lab with GitHub Actions.
dominodatalabdomino-flows
Orchestrate multi-step machine learning workflows as DAGs with typed inputs and outputs.
Frequently Asked Questions About Domino Data Lab
FAQPage SchemaWhat specific tasks can be performed using this platform?▼
Users can orchestrate distributed compute clusters, manage the full lifecycle of models from experimentation to production, monitor for data drift, and deploy interactive web applications or parameterized job forms for self-service execution.
Which personas benefit most from these capabilities?▼
Data scientists, machine learning engineers, and research teams utilize these features to standardize development environments, track experiments via MLflow, and transition research code into scalable, production-ready services.
What are the primary prerequisites for running these environments?▼
Deployment requires configured Dockerfile-based compute environments and access to underlying cloud infrastructure. Users must manage project-level Git integration and ensure connectivity to external data sources via secure credential management.