Individual skill

migrating-dagster-to-airflow

Guide for migrating Dagster projects to Apache Airflow 3 on Astro. Use when the user mentions migrating, converting, or porting Dagster (or Dagster+) code to Airflow or Astro, wants to plan or assess such a migration, or asks what a Dagster construct maps to in Airflow. Covers assets, partitions, schedules, sensors, declarative automation, resources, IO managers, ops/jobs, dbt, Pipes, Components, and Dagster+ platform config. Always load this skill as the first step for any Dagster-to-Airflow request.

skills/migrating-dagster-to-airflow/SKILL.md

Read pinned source

Source commit 35b9610bb2710c37ca11326c4cbf7818b6725fec

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
No
Repository scan complete
No
Skill scan complete
No
Observed behavior
Not checked yet
Last checked
Nov 6, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
458
Repository last updated
Nov 2, 2026
License
Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Dagster → Airflow 3 (Astro) migration

Migrate a Dagster project to Airflow 3 on Astro Runtime, honestly. The migration is asset-first (Dagster asset graphs translate to Airflow assets and asset-aware schedules, not flattened DAGs), incremental (domain by domain, Dagster stays authoritative until parity), and honest (every definition gets an explicit disposition; semantic deltas are documented, never papered over).

First time driving this? Read `reference/quickstart.md` first: hour-one commands, the glossary, and what can and cannot break.

## Migration at a glance

1. Baseline the source project's tests, then inventory it read-only (`scripts/inventory.py` → manifest).
2. Review classifications (MECH/JUDG/REDESIGN/NONE per `reference/mapping.md`); make the go/no-go call (three outcomes; migrate-with-conditions is the common case, stay is the narrow one); plan DAG boundaries, per-edge IO decisions, and Gate 3 expectations into the manifest.
3. Trial-migrate 2-3 representative units end-to-end through every validation gate.
4. Migrate domain by domain through the six-gate ladder (`reference/validation.md`), tracking per-unit state (`scripts/status.py`); fix failure classes via `reference/troubleshooting.md`, never stub.
5. Map the platform layer (secrets, alerts, CI/CD, Deployments) per `reference/astro-deployment.md`.
6. Run side by side, then cut over per domain (consumers unpause first; see the checklist), keeping rollback one step away.
Back to top