https://github.com/dagster-io/dagster-claude-plugins
A collection of Claude Code plugins for working with Dagster.
https://github.com/dagster-io/dagster-claude-plugins
ai-tools claude-code dagster data-engineering data-orchestration marketplace
Last synced: 5 months ago
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A collection of Claude Code plugins for working with Dagster.
- Host: GitHub
- URL: https://github.com/dagster-io/dagster-claude-plugins
- Owner: dagster-io
- Created: 2026-01-14T15:12:14.000Z (5 months ago)
- Default Branch: master
- Last Pushed: 2026-01-14T22:57:57.000Z (5 months ago)
- Last Synced: 2026-01-15T02:49:22.389Z (5 months ago)
- Topics: ai-tools, claude-code, dagster, data-engineering, data-orchestration, marketplace
- Homepage: https://dagster.io
- Size: 120 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Claude Plugins for Dagster
A collection of Claude Code plugins for building workflows and data pipelines using Dagster.
## Installation
Add this marketplace to Claude Code:
```
/plugin marketplace add dagster-io/dagster-claude-plugins
```
Install a plugin:
```
/plugin install dg@claude-plugins-dagster
```
To update your marketplace plugins:
```
/plugin marketplace update
```
## Plugins
### dg
Commands for building and debugging.
Build:
- `/dg:create-project ` - Create a new Dagster project with recommended structure
- `/dg:create-workspace ` - Initialize a workspace for managing multiple projects
- `/dg:prototype ` - Build production-ready Dagster implementations with best practices, testing, and validation
Debug:
- `/dg:logs [level] [limit]` - Retrieve and display logs for a run
- `/dg:troubleshoot ` - Debug failing runs by analyzing error logs
### dagster-conventions
Comprehensive Dagster development conventions and best practices.
This skill provides expert guidance for Dagster data orchestration including assets, resources, schedules, sensors, partitions, testing, and ETL patterns.
### dagster-integrations
Comprehensive index of 82+ Dagster integrations including cloud platforms, data warehouses, ETL tools, AI/ML, data quality, monitoring, and more.
This skill helps you discover and integrate with the right tools for your data pipelines.
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