菜单
Manage local Airflow environment with Astro CLI. Use when the user wants to start, stop, or restart Airflow, view logs, troubleshoot containers, or fix environment issues. For project setup, see setting-up-astro-project.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Map downstream lineage and blast radius for Airflow data assets. Use when the user needs to know which DAGs, tables, dashboards, or models depend on a dataset and what could break after a change.
Use when the user needs human-in-the-loop workflows in Airflow (approval/reject, form input, or human-driven branching). Covers ApprovalOperator, HITLOperator, HITLBranchOperator, HITLEntryOperator. Requires Airflow 3.1+.
Manages Apache Airflow operations including listing, running, and debugging DAGs, viewing logs, and checking server status using the VS Code extension tools.
Annotate Airflow tasks with data lineage using inlets and outlets. Use when the user wants to add lineage metadata to tasks, specify input/output datasets, or enable lineage tracking for operators without built-in OpenLineage extraction.
Workflow and best practices for writing Apache Airflow DAGs. Use when the user wants to create a new DAG, write pipeline code, or asks about DAG patterns and conventions. For testing and debugging DAGs, see the testing-dags skill.
Create custom OpenLineage extractors for Airflow operators. Use when the user needs lineage from unsupported or third-party operators, wants column-level lineage, or needs complex extraction logic beyond what inlets/outlets provide.
| name | managing-astro-local-env |
| description | Manage local Airflow environment with Astro CLI. Use when the user wants to start, stop, or restart Airflow, view logs, troubleshoot containers, or fix environment issues. For project setup, see setting-up-astro-project. |
This skill helps manage a local Airflow environment using the Astro CLI.
Note: These are external CLI actions. For runtime inspection inside the VS Code extension, use the extension tools instead.
# Start local Airflow (webserver at http://localhost:8080)
astro dev start
# Stop containers (preserves data)
astro dev stop
# Kill and remove volumes (clean slate)
astro dev kill
# Restart all containers
astro dev restart
# Restart specific component
astro dev restart --scheduler
astro dev restart --webserver
Default credentials: admin / admin
Restart after modifying: requirements.txt, packages.txt, Dockerfile
astro dev ps
# All logs
astro dev logs
# Specific component
astro dev logs --scheduler
astro dev logs --webserver
# Follow in real-time
astro dev logs -f
# Bash into scheduler container
astro dev bash
# Run Airflow CLI commands
astro dev run airflow info
astro dev run airflow dags list
| Issue | Solution |
|---|---|
| Port 8080 in use | Stop other containers or edit .astro/config.yaml |
| Container won't start | astro dev kill then astro dev start |
| Package install failed | Check requirements.txt syntax |
| DAG not appearing | Run astro dev parse to check for import errors |
| Out of disk space | docker system prune |
astro dev kill
astro dev start
astro dev upgrade-test
Edit Dockerfile:
FROM quay.io/astronomer/astro-runtime:13.0.0
Restart:
astro dev kill && astro dev start