Generate task dependency graphs for Starlake pipelines with DOT, SVG, JSON, or PNG output.
npx skills add https://github.com/starlake-ai/starlake --skill lineage
Please help me install this Agent Skill. Skill: lineage Source: https://github.com/starlake-ai/starlake/tree/main/.agent/skills/lineage Command: npx skills add https://github.com/starlake-ai/starlake --skill lineage
Graphing data lineage and task dependencies to understand how data and tasks flow across a Starlake pipeline, enabling governance and debugging.
Run the lineage command to generate a task-dependency graph for your project and export it to lineage.dot.
High-intent search queries and answers about installing and using this skill.
To visualize ETL task dependencies and data lineage, generate a graph of upstream and downstream task relationships across your pipelines. This reveals how data flows and surfaces task bottlenecks within your project.
Yes, you can export data lineage graphs to SVG, JSON, PNG, and DOT formats. These output options support flexible reporting and visualization of your task dependency relationships.
Data lineage graphing is used for pipeline debugging to identify which tasks contribute to a downstream artifact. It helps spot circular dependencies, orphan tasks, and upstream/downstream bottlenecks.
You identify orphan tasks and circular dependencies by generating a task-dependency graph for your project. This graph maps upstream and downstream relationships to reveal structural issues in your pipeline.
Yes, lineage visualization supports task filtering and domain reload capabilities. This allows you to focus the dependency graph on specific tasks and refresh domains as your project structure evolves.
The best way to analyze dataset lineage within a Starlake project is to run the lineage command. It generates a task-dependency graph, exportable to DOT, providing visibility into data flow and task relationships.
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