dagster-expert
dagster-io/skills · skills.sh
Open source Repository Open in the app JSON README (API)
About
Skill publicada por dagster-io/skills no skills.sh. Instale com: npx skills add dagster-io/skills@dagster-expert
Details
- Kind
- Agent skills
- Topic
- No topic detected
- Publisher
- dagster-io
- Origin
- skillssh
- Category
- ferramentas
- Stars
- 203
- Forks
- 16
- Open pull requests
- 1
- Last push
- 2026-09-03T19:57:44Z
- Repository state
- ativo
- Language
- Python
- License
- Apache-2.0
- Added
- 2026-08-30 15:21:34
- Updated
- 2026-09-08 15:03:21
- Origin id
dagster-io/skills/dagster-expert
README
<div align="center"> <img width="auto" height="38px" alt="dagster-hearts-claude" src="https://github.com/user-attachments/assets/b162dddf-6a7e-459e-be06-29d34d637650" /> </div> # Dagster Skills 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.** ## Installation ### Claude Code Install using the [Claude plugin marketplace](https://code.claude.com/docs/en/discover-plugins#add-from-github): ``` /plugin marketplace add dagster-io/skills /plugin install dagster-expert@dagster /dagster-expert "What's an asset?" ``` ### Using `npx skills` Install using the [`npx skills`](https://skills.sh/) command-line: ```bash npx skills add dagster-io/skills ``` ### Manual Installation <details> <summary>See full instructions...</summary> Clone the repository and copy skills to your tool's skills directory: **OpenCode:** ```bash git clone https://github.com/dagster-io/skills.git cp -r skills/skills/* ~/.config/opencode/skill/ ``` **OpenAI Codex:** ```bash git clone https://github.com/dagster-io/skills.git cp -r skills/skills/* ~/.codex/skills/ ``` **Pi Agent:** ```bash git clone https://github.com/dagster-io/skills.git cp -r skills/skills/* ~/.pi/agent/skills/ ``` </details> ## Skills ### `dagster-expert` 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 ``` ## Contributing See [CONTRIBUTING.md](./CONTRIBUTING.md). <div align="center"> <img alt="dagster logo" src="https://github.com/user-attachments/assets/6fbf8876-09b7-4f4a-8778-8c0bb00c5237" width="auto" height="16px"> </div>