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:
/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 command-line:
npx skills add dagster-io/skills
Manual Installation
See full instructions...
Clone the repository and copy skills to your tool's skills directory:
OpenCode:
git clone https://github.com/dagster-io/skills.git
cp -r skills/skills/* ~/.config/opencode/skill/
OpenAI Codex:
git clone https://github.com/dagster-io/skills.git
cp -r skills/skills/* ~/.codex/skills/
Pi Agent:
git clone https://github.com/dagster-io/skills.git
cp -r skills/skills/* ~/.pi/agent/skills/
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.