Manages batch job execution and scheduling across Domino's UI, SDK, CLI, and REST API.
npx skills add https://github.com/jvdomino/domino-data-lab-plugin --skill domino-jobs
Please help me install this Agent Skill. Skill: domino-jobs Source: https://github.com/jvdomino/domino-data-lab-plugin/tree/main/skills/jobs Command: npx skills add https://github.com/jvdomino/domino-data-lab-plugin --skill domino-jobs
The Domino Jobs Skill helps teams automate batch executions, schedule recurring tasks, and monitor results within Domino, enabling reproducible workflows and scalable data processing.
Run a sample job by executing train.py with arguments through the UI, Python SDK, CLI, or REST API.
High-intent search queries and answers about installing and using this skill.
To run batch jobs in Domino, you can configure hardware tiers and compute environments, then start execution through the UI, Python SDK, CLI, or REST API. It supports both blocking and non-blocking runs to integrate with existing pipelines.
Yes, you can trigger Domino batch executions from a Python script using the Python SDK. It allows you to start non-blocking or blocking runs programmatically, enabling seamless integration of job execution into your existing data pipelines.
Yes, Domino supports cron scheduling for recurring tasks. You can configure cron-based job scheduling to automate recurring batch executions, ensuring reproducible workflows and scalable data processing without manual intervention.
The best way to monitor batch job status and logs in Domino is by using the UI, CLI, or REST API. These interfaces allow you to track execution progress, review output logs, and manage results across your configured compute environments.
Yes, you need to configure hardware tiers and specify compute environments before starting a batch job in Domino. This setup ensures your batch process has the necessary computational resources allocated for scalable and reproducible execution.
The Domino REST API handles job execution workflows by allowing external tools to start, monitor, and manage batch jobs. You can specify environments, trigger runs, and retrieve status or logs programmatically to automate end-to-end execution pipelines.
dominodatalabCreate, schedule, and monitor batch jobs on the Lab platform.
nahisahoFetch AlphaFold predictions and analyze pLDDT confidence metrics for UniProt proteins.
ToXMonAutomate Domino platform interactions using the python-domino SDK and REST APIs.
ToXMonExecute Domino jobs and manage project files via MCP integration.
