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 <name> - Create a new Dagster project with recommended structure
• /dg:create-workspace <name> - Initialize a workspace for managing multiple projects
• /dg:prototype <requirements> - Build production-ready Dagster implementations with best practices, testing, and validation

Debug:

• /dg:logs <run-id> [level] [limit] - Retrieve and display logs for a run
• /dg:troubleshoot <run-id> - 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.

dignified-python

Production-tested Python coding standards with version-aware type annotations, LBYL exception handling, and modern typing patterns.

This skill provides comprehensive guidance for writing dignified Python code including:

• Automatic Python version detection (3.10-3.13)
• LBYL exception handling patterns
• Modern type syntax (list[str], str | None)
• Pathlib operations and ABC-based interfaces
• CLI patterns and subprocess handling
• API design and code organization best practices

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