Standardize MARIMO notebook batch configuration with Pydantic models.
npx skills add https://github.com/panicPaul/splatkit --skill marimo-batch-panicpaul
Please help me install this Agent Skill. Skill: marimo-batch Source: https://github.com/panicPaul/splatkit/tree/main/.agents/skills/marimo-batch Command: npx skills add https://github.com/panicPaul/splatkit --skill marimo-batch-panicpaul
This skill provides a standardized approach to preparing MARIMO notebooks for scheduled batch runs by enforcing a clear parameter contract with Pydantic models and UI/CLI configuration.
Open the MARIMO notebook and configure ModelParams via the UI or CLI, then run the batch workflow to schedule execution.
High-intent search queries and answers about installing and using this skill.
To schedule MARIMO notebooks for batch runs, standardize the configuration using Pydantic models to enforce a parameter contract, then execute the workflow via CLI for scripted automation.
Yes, you can define declarative parameter schemas via Pydantic in MARIMO, exposing the run configuration as a single source of truth for both interactive UI forms and CLI execution.
You pass parameters to a MARIMO notebook from the command line by configuring the Pydantic-based ModelParams through the CLI, enabling scripted automation for batch execution.
Yes, the MARIMO batch runner supports optional WandB integration, providing ready-made notebook templates that include environment configuration and logging for reproducible training flows.
The best way to manage environment configuration for reproducible MARIMO workflows is using a standardized parameter contract with Pydantic models, handling both UI-driven forms and CLI inputs.
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