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skills

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A collection of AI skills for working with Dagster

// repository documentation

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# Dagster Skills

AI assistant skills for building workflows and data pipelines using Dagster.

**Compatible with Claude Code, Cursor, OpenCode, OpenAI Codex, Pi, and other Agent Skills-compatible tools.**

## Installation

### Claude Code

Install using the
[Claude plugin marketplace](https://code.claude.com/docs/en/discover-plugins#add-from-github):

```
/plugin marketplace add dagster-io/skills

/plugin install dagster-expert@dagster

/dagster-expert "What's an asset?"
```

### Using `npx skills`

Install using the [`npx skills`](https://skills.sh/) command-line:

```bash
npx skills add dagster-io/skills
```

### Manual Installation

<details>
<summary>See full instructions...</summary>

Clone the repository and copy skills to your tool's skills directory:

**OpenCode:**

```bash
git clone https://github.com/dagster-io/skills.git
cp -r skills/skills/* ~/.config/opencode/skill/
```

**OpenAI Codex:**

```bash
git clone https://github.com/dagster-io/skills.git
cp -r skills/skills/* ~/.codex/skills/
```

**Pi Agent:**

```bash
git clone https://github.com/dagster-io/skills.git
cp -r skills/skills/* ~/.pi/agent/skills/
```

</details>

## Skills

### `dagster-expert`

Expert guidance for building production-quality Dagster projects, covering CLI commands, asset patterns, automation strategies, and implementation workflows.

**What you can do:**

- Create and scaffold projects, assets, schedules, and sensors
- Understand asset patterns (dependencies, partitions, multi-assets, metadata)
- Implement automation (declarative automation, schedules, sensors)
- Use CLI commands (launch, list, check, scaffold, logs)
- Design project structure and configure environments
- Follow implementation workflows and best practices
- Debug issues and validate project configuration

**Example prompts:**

```
Create a new Dagster project called analytics
How do I scaffold a new asset?
Show me how to set up declarative automation
What's the proper way to partition my assets?
Help me debug why my materialization failed
How should I structure my project for multiple pipelines?
Launch all assets tagged with priority=high
```

### `dignified-python`

Production-quality Python coding standards for modern Python.

Use for general Python code quality, not Dagster-specific patterns.

**What's included:**

- Modern type syntax (list[str], str | None)
- LBYL exception handling patterns
- Pathlib operations
- Python version-specific features (3.10-3.13)
- CLI patterns (Click, argparse)
- Advanced typing patterns
- Interface design (ABC, Protocol)
- API design principles

**Example questions:**

```
Is this good Python code?
How should I annotate this function?
What's the difference between LBYL and EAFP?
Should I use pathlib or os.path?
```

## Contributing

See [CONTRIBUTING.md](./CONTRIBUTING.md).

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