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domino-flows

Skill

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.

0Data Engineering

Install

git clone https://github.com/dominodatalab/domino-claude-plugin.git ~/.claude/skills/domino-flows

What is domino-flows?

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.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~75 tokens of context used while enabled, before you invoke anything

Documentation

README · ~2 min read

Domino Flows Skill

This skill provides comprehensive knowledge for orchestrating ML workflows using Domino Flows, built on the Flyte platform.

Key Concepts

What are Domino Flows?

Domino Flows enable:

  • DAG-based orchestration: Define workflows as directed acyclic graphs
  • Typed interfaces: Strong typing for inputs and outputs
  • Heterogeneous environments: Different environments per task
  • Automatic lineage: Track data and model provenance
  • Reproducibility: Version-controlled workflows

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