by dagster-io
A collection of AI skills for working with Dagster
# Add to your Claude Code skills
git clone https://github.com/dagster-io/skillsLast scanned: 5/30/2026
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"status": "PASSED",
"scannedAt": "2026-05-30T16:09:30.290Z",
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}skills is an open-source data processing skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by dagster-io. A collection of AI skills for working with Dagster. It has 148 GitHub stars.
Yes. skills passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/dagster-io/skills" and add it to your Claude Code skills directory (see the Installation section above).
skills is primarily written in Python. It is open-source under dagster-io on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other Data Processing skills you can browse and compare side by side. Open the Data Processing category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh skills against similar tools.
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Top skills in this category by stars
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.
Install using the Claude plugin marketplace:
/plugin marketplace add dagster-io/skills
/plugin install dagster-expert@dagster
/dagster-expert "What's an asset?"
npx skillsInstall using the npx skills command-line:
npx skills add dagster-io/skills
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/
dagster-expertExpert guidance for building production-quality Dagster projects, covering CLI commands, asset patterns, automation strategies, and implementation workflows.
What you can do:
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-pythonProduction-quality Python coding standards for modern Python.
Use for general Python code quality, not Dagster-specific patterns.
What's included:
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?
See CONTRIBUTING.md.