Github · GitHub Repository Radar
dagster-io skills
A collection of AI skills for working with Dagster
Stars
202
Forks
16
Watchers: 202
Language
License: Apache License 2.0
Repository Radar Score
50 / 100
Growth
- 7d
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- 30d
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- 0.0%
Not enough metric snapshots yet to chart growth for this repository.
Score breakdown
- popularity 39
- growth 0
- activity 100
- freshness 100
- community 86
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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?"
Install using the npx skills command-line:
npx skills add dagster-io/skillsSee 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/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
See CONTRIBUTING.md.
Repository Radar analysis
Deterministic insights derived from public metadata and our observations — not personal testing or reviews.
Why this repository is interesting
- Maintained recently (last push 2 weeks ago).
Who should use it
- Developers working primarily with Python
- Teams exploring AI tooling, agents, or ML infrastructure
Potential use cases
- Reference or evaluate Python open-source approaches in this domain
- Prototype AI/agent workflows or study reference architectures
Strengths
- Recent repository activity
- README present in our index
- Declared license: Apache License 2.0
Limitations / considerations
- Insights are derived from public metadata and our observations — not a substitute for code review
What to watch
- Re-check last push, issues, and releases on GitHub before production adoption
Strong signals: Active maintenance
Source: GitHub (public metadata) + Repository Radar analysis. We do not claim ownership of third-party repositories.
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