| name | dagster-expert |
| description | 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, 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. |
Dagster Expert Skill
Expert guidance for building production-quality Dagster projects. Routes you to detailed reference documentation for assets, automation, project structure, and CLI commands.
IMPORTANT: For new assets, schedules, or sensors, ALWAYS use dg scaffold before manual file creation. See cli/scaffold.md.
Invoke EARLY: If the task involves automation conditions, scheduling logic, or integration components (dbt, Fivetran, etc.), invoke this skill or the appropriate sub-skill BEFORE exploring the codebase. The references contain all needed patterns.
Task Router
Keyword Router
| Keywords | Reference |
|---|
| create project, new project, init, setup | Quick Reference below |
| workspace, multi-project, multiple projects | Quick Reference below |
| scaffold, generate, create asset/schedule/sensor | cli/scaffold.md |
| dbt, fivetran, airbyte, snowflake, bigquery, external tool, integration component, dagster_dbt, dagster_fivetran | Invoke dagster-integrations skill directly |
| complex triggers, different triggers, hot/cold dependencies, conditional automation | automation/declarative-automation/README.md |
| automation_condition, AutomationCondition, eager(), any_downstream_conditions | automation/declarative-automation/README.md |
| list, show, find, discover, what assets | cli/list.md |
| validate, check, verify, test config | cli/check.md |
| launch, run, materialize, execute, backfill | cli/launch.md |
| select, filter, tag, group, kind, upstream, downstream | cli/asset-selection.md |
| logs, debug, troubleshoot run | cli/api.md |
| deploy, plus, cloud | cli/api.md |
| asset, dependency, metadata, partition | assets.md |
Quick Reference
uvx create-dagster project <name> --uv-sync
uvx create-dagster workspace <name>
dg scaffold defs dagster.asset assets/my_asset.py
dg scaffold defs dagster.schedule schedules/daily.py
dg scaffold defs dagster.sensor sensors/file_watcher.py
dg list defs
dg list defs --assets "group:analytics"
dg list components
dg check defs
dg launch --assets "tag:priority=high"
dg launch --assets "+my_asset"
dg launch --assets my_asset --partition 2024-01-15
Core Dagster Concepts
Brief definitions only (see reference files for detailed examples):
- Asset: Persistent object (table, file, model) produced by your pipeline
- Job: Selection of assets to execute together
- Schedule: Time-based automation using cron
- Sensor: Event-driven automation that watches for changes
- Declarative Automation: Modern automation where you set conditions on assets
- Partition: Logical division of data (by date, category)
- Component: Reusable, declarative building block (YAML-based)
UV Compatibility
Projects use uv for dependency management:
uv run dg list defs
uv run dg launch --assets my_asset
Related Skills
- dagster-integrations - Find and configure integration components (dbt, Fivetran, Sling, etc.)