Airflow
Develop and test Apache Airflow DAGs with the Astronomer astro CLI.
Install
$ agentstack add skill-fmind-dot-airflow ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-fmind-dot-airflow) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Apache Airflow with Astronomer CLI
Use astro for local Apache Airflow development, DAG authoring, task testing, and debugging. [python-stack](../python-stack/SKILL.md) owns Python package conventions and [docker](../docker/SKILL.md) manages container runtimes.
Local runs need an existing Docker-compatible engine and 20 GiB disk headroom; workstation tools disable anonymous telemetry (ASTRO_TELEMETRY_DISABLED=1). Inspect the project's Airflow version before choosing service flags (--api-server for Airflow 3; --webserver for Airflow 2).
Workflow
- Inspect project layout: confirm existing
dags/,Dockerfile,requirements.txt, andairflow_settings.yaml.
``bash ls -la dags/ ``
- Start local environment: spin up local scheduler, webserver, triggerer, and PostgreSQL database.
``bash astro dev start ``
- Validate DAG syntax and integrity: parse DAG files to catch import and configuration errors without waiting for the scheduler.
``bash astro dev parse ``
- Test tasks and runs: execute unit tests or run individual tasks directly inside the local environment.
``bash astro dev pytest astro dev run tasks test ``
- Inspect service and task logs: follow logs to diagnose scheduling delays or task failures.
``bash astro dev logs --scheduler astro dev logs --api-server ``
- Stop or rebuild environment: stop containers when done or rebuild when changing dependencies in
requirements.txt.
``bash astro dev stop # After changing requirements.txt or Dockerfile: astro dev restart ``
Gotchas
- Top-level execution: the scheduler evaluates top-level DAG code every few seconds; avoid database queries, API calls, or heavy computation outside operators.
- Port clashes: default API server/webserver port
8080may collide with local services; consultastro dev start --helpfor the installed version's port options. - Stateless task testing:
astro dev run tasks testruns a single task without recording state in the Airflow database; upstream task dependencies must be handled or mocked.
Official Skills
- Upstream: Astronomer Agent Skills at
astronomer/agents.
Documentation
- Astronomer CLI Documentation · Apache Airflow Documentation
- Releases: Astronomer CLI Releases
- Companion skills: [python-stack](../python-stack/SKILL.md) (Python coding), [docker](../docker/SKILL.md) (containers), [duckdb](../duckdb/SKILL.md) (data pipelines).
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.