Expert guidance for Dagster projects, asset definitions, and dg CLI workflows.
Create detailed user stories, acceptance criteria, and feature specs
Example: Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example: Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example: Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example: Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Submit your Claude Code skill and start earning
epx add dagster-io/skills --skill dagster-expertCompatible with
Supported agents
Provides deep knowledge of Dagster concepts (assets, components, schedules, sensors, jobs) and helps with project structure, debugging, and codebase navigation
Covers the dg CLI for common tasks: creating projects, scaffolding definitions, listing assets, launching runs, and exploring project structure
Includes guidance on automation approaches (schedules, sensors, declarative automation) and integration p
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondagster-expertExecute the skills CLI command in your project's root directory to begin installation:
epx add dagster-io/skills --skill dagster-expertFetches dagster-expert from dagster-io/skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/dagster-expert
Restart Cursor to activate dagster-expert. Access via /dagster-expertin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Time estimate: 30-60 minutes to see productivity improvements
Prerequisites
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
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We added dagster-expert from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: dagster-expert is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend dagster-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
dagster-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend dagster-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added dagster-expert from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
dagster-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in dagster-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: dagster-expert is focused, and the summary matches what you get after install.
dagster-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.
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