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Astro Project Setup

Initialize and configure Astro/Airflow projects. Use when the user wants to create a new project, set up dependencies, configure connections/variables, or understand project structure. For running the local environment, see managing-astro-local-env.

Installable skillMITBy 420companyUpdated Nov 1, 2026
INTENDED FOROpenClawInstall in a listed agent.

instructions.md

---
name: setting-up-astro-project-0e1755743d5d
description: Initialize and configure Astro/Airflow projects. Use when the user wants to create a new project, set up dependencies, configure connections/variables, or understand project structure. For running the local environment, see managing-astro-local-env.
---

# Astro Project Setup

This skill helps you initialize and configure Airflow projects using the Astro CLI.

> **To run the local environment**, see the **managing-astro-local-env** skill.
> **To write DAGs**, see the **authoring-dags** skill.
> **Open-source alternative:** If the user isn't on Astro, guide them to Apache Airflow's Docker Compose quickstart for local dev and the Helm chart for production. For deployment strategies, use the `deploying-airflow` skill.

---

## Initialize a New Project

```bash
astro dev init
```

Creates this structure:
```
project/
├── dags/                # DAG files
├── include/             # SQL, configs, supporting files
├── plugins/             # Custom Airflow plugins
├── tests/               # Unit tests
├── Dockerfile           # Image customization
├── packages.txt         # OS-level packages
├── requirements.txt     # Python packages
└── airflow_settings.yaml # Connections, variables, pools
```

---

## Adding Dependencies

### Python Packages (requirements.txt)

```
apache-airflow-providers-snowflake==5.3.0
pandas==2.1.0
requests>=2.28.0
```

### OS Packages (packages.txt)

```
gcc
libpq-dev
```

### Custom Dockerfile

For complex setups (private PyPI, custom scripts):

```dockerfile
FROM quay.io/astronomer/astro-runtime:12.4.0

RUN pip install --extra-index-url https://pypi.example.com/simple my-package
```

**After modifying dependencies:** Run `astro dev restart`

---

## Configuring Connections & Variables

### airflow_settings.yaml

Loaded automatically on environment start:

```yaml
airflow:
  connections:
    - conn_id: my_postgres
      conn_type: postgres
      host: host.docker.internal
      port: 5432
      login: user
      password: pass
      schema: mydb

  variables:
    - variable_name: env
      variable_value: dev

  pools:
    - pool_name: limited_pool
      pool_slot: 5
```

### Export/Import

```bash
# Export from running environment
astro dev object export --connections --file connections.yaml

# Import to environment
astro dev object import --connections --file connections.yaml
```

---

## Validate Before Running

Parse DAGs to catch errors without starting the full environment:

```bash
astro dev parse
```

---

## Related Skills

- **managing-astro-local-env**: Start, stop, and troubleshoot the local environment
- **authoring-dags**: Write and validate DAGs (uses MCP tools)
- **testing-dags**: Test DAGs (uses MCP tools)
- **deploying-airflow**: Deploy DAGs to production (Astro, Docker Compose, Kubernetes)

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.