# tracing-downstream-lineage

> Claude/Codex skill by [@astronomer](https://omgskills.com/library/astronomer/index.md) · 454 stars · Updated 2026-10-14

Trace downstream data lineage and impact analysis. Use when the user asks what depends on this data, what breaks if something changes, downstream dependencies, or needs to assess change risk before modifying a table or DAG.

Tags: agentic-workflow, agents, ai, ai-agents, airflow, apache-airflow, claude, cursor, dag, data-engineering, data-pipelines, dbt, llm, mcp, orchestrator, skills, workflow-automation, workflow-management, workflow-orchestration, workflows

## Install

```sh
git clone https://github.com/astronomer/agents /tmp/agents && ln -s /tmp/agents/skills/tracing-downstream-lineage ~/.claude/skills/tracing-downstream-lineage
```

## From README

Downstream Lineage: Impacts Answer the critical question: "What breaks if I change this?" Use this BEFORE making changes to understand the blast radius. Impact Analysis Step 1: Identify Direct Consumers Find everything that reads from this target: For Tables: Search DAG source code: Look for DAGs that SELECT from this table Use af dags list to get all DAGs Use af dags source to search for table references Look for: FROM targettable, JOIN targettable Check for dependent views: Look for BI tool connections: Dashboards often query tables directly Check for common BI patterns in table naming (rpt, dashboard) On Astro If you're running on Astro, the Lineage tab in the Astro UI provides visual dependency graphs across DAGs and datasets, making downstream impact analysis faster. It shows which DAGs consume a given dataset and their current status, reducing the need for manual source code searches.

## Links

- HTML page: https://omgskills.com/library/astronomer/agents/tracing-downstream-lineage/
- GitHub: https://github.com/astronomer/agents
- Author: [@astronomer](https://omgskills.com/library/astronomer/index.md)

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