By dagster-io
Get expert guidance on Dagster data pipelines and the dg CLI for managing assets, components, and integrations, alongside opinionated production Python standards with automatic version detection for modern type syntax and pathlib operations.
Expert guidance for working with Dagster and the dg CLI. ALWAYS use before doing any task that requires knowledge specific to Dagster, or that references assets, materialization, components, data tools or data pipelines. Common tasks may include creating a new project, adding new definitions, understanding the current project structure, answering general questions about the codebase (finding asset, schedule, sensor, component or job definitions), debugging issues, or providing deep information about a specific Dagster concept.
Opinionated production Python standards with automatic version detection (3.10-3.13). Use when writing, reviewing, or refactoring Python in repos that want modern type syntax, explicit condition checks where practical, pathlib operations, interface guidance, and pragmatic production patterns.
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Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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.
npx claudepluginhub dagster-io/skillsComprehensive Dagster development conventions and best practices
Production-tested Python coding standards with version-aware type annotations, LBYL exception handling, and modern typing patterns
Comprehensive Dagster development conventions and best practices
Data engineering plugin - warehouse exploration, pipeline authoring, Airflow integration
Data engineering agents providing expertise in ETL pipelines, streaming, and data warehousing
Editorial "Data Engineering" bundle for Claude Code from Antigravity Awesome Skills.
Claude Code skill pack for Databricks (24 skills)
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.