/dagster-expert
Brief definitions only (see reference files for detailed examples):
$ npx -y skills add dagster-io/skills --skill dagster-expert --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/dagster-expert
Context preview
The summary Claude sees to decide when to auto-load this skill.
Brief definitions only (see reference files for detailed examples):
SKILL.md
dagster-expert.SKILL.mdname: 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, 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.
Core Dagster Concepts
Brief definitions only (see reference files for detailed examples):
- **Asset**: Persistent object (table, file, model) produced by your pipeline
- **Component**: Reusable building block that generates definitions (assets, schedules, sensors, jobs, etc.) relevant to a particular domain.
Integration Workflow
When integrating with ANY external tool or service, read the [Integration libraries index](./references/integrations/INDEX.md). This contains information about which integration libraries exist, and references on how to create new custom integrations for tools that do not have a published library.
dg CLI
The `dg` CLI is the recommended way to programmatically interact with Dagster (adding definitions, launching runs, exploring project structure, etc.). It is installed as part of the `dagster-dg-cli` package. If a relevant CLI command for a given task exists, always attempt to use it.
ONLY explore the existing project structure if it is strictly necessary to accomplish the user's goal. In many cases, existing CLI tools will have sufficient understanding of the project structure, meaning listing and reading existing files is wasteful and unnecessary.
Almost all `dg` commands that return information have a `--json` flag that can be used to get the information in a machine-readable format. This should be preferred over the default table output unless you are directly showing the information to the user.
UV Compatibility
Projects typically use `uv` for dependency management, and it is recommended to use it for `dg` commands if possible:
uv run dg list defs
uv run dg launch --assets my_asset
CRITICAL: Always Read Reference Files Before Answering
NEVER answer from memory or guess at CLI commands, APIs, or syntax. ALWAYS read the relevant reference file(s) from the Reference Index below before responding.
For every question, identify which reference file(s) are relevant using the index descriptions, read them, then answer based on what you read.
Reference Index
<!-- BEGIN GENERATED INDEX -->
- [Asset Selection Syntax](./references/asset-selection.md) — filtering assets by tag, group, kind, upstream, or downstream; AssetSelection in Python, UI search bar, or CLI
- [Environment Variables](./references/env-vars.md) — configuring environment variables across different environments
- [Asset Patterns](./references/assets/INDEX.md) — defining assets, dependencies, metadata, partitions, or multi-asset definitions
- [Choosing an Automation Approach](./references/automation/choosing-automation.md) — deciding between schedules, sensors, and declarative automation
- [Schedules](./references/automation/schedules.md) — time-based automation with cron expressions
- [Declarative Automation](./references/automation/declarative-automation/INDEX.md) — asset-centric condition-based automation using AutomationCondition
- [Asset Sensors](./references/automation/sensors/asset-sensors.md) — triggering on asset materialization events
- [Basic Sensors](./references/automation/sensors/basic-sensors.md) — event-driven automation with file watching or custom polling
- [Run Status Sensors](./references/automation/sensors/run-status-sensors.md) — reacting to run success, failure, or other status changes
- [dg check](./references/cli/check.md) — validating project configuration or definitions
- [create-dagster](./references/cli/create-dagster.md) — creating a new Dagster project from scratch
- [dg dev](./references/cli/dev.md) — starting a local Dagster development instance
- [dg launch](./references/cli/launch.md) — materializing assets or executing jobs locally
- [dg list components](./references/cli/list-components.md) — seeing available component types for scaffolding
- [dg list defs](./references/cli/list-defs.md) — listing or filtering registered definitions
- [Dagster Plus API](./references/cli/api/INDEX.md) — dg api, programmatically querying or managing Dagster Plus resources (assets, runs, deployments, code locations, schedules, sensors, secrets, issues, etc.)
- [dg list](./references/cli/list/INDEX.md) — exploring project structure (component tree, environment variables, workspace projects)
- [Dagster Plus CLI](./references/cli/plus/INDEX.md) — dg plus, Dagster Plus authentication, configuration, and deployment; logging in, setting config, creating API tokens, deploying code, pulling env vars, managing dbt manifests
- [dg scaffold component](./references/cli/scaffold/component.md) — creating a custom reusable component type
- [dg scaffold defs](./references/cli/scaffold/defs.md) — adding new definitions (assets, schedules, sensors, components) to a project
- [dg utilities](./references/cli/utils/INDEX.md) — dg utils, inspecting component types, viewing integrations, refreshing state-backed component cache
- [Creating Components](./references/components/creating-components.md) — building a new custom component from scratch
- [Designing Component Integrations](./references/components/designing-component-integrations.md) — designing a component that wraps an external service or tool; custom integrations
- [Resolved Framework](./references/components/resolved-framework.md) — defining custom YAML schema types using Resolver, Model, or Resolvable
- [Subclassing Components](./references/components/subclassing-components.md) — extending an existing component via subclassing; customi
Read more
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, 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.
Core Dagster Concepts
Brief definitions only (see reference files for detailed examples):
- **Asset**: Persistent object (table, file, model) produced by your pipeline
- **Component**: Reusable building block that generates definitions (assets, schedules, sensors, jobs, etc.) relevant to a particular domain.
Integration Workflow
When integrating with ANY external tool or service, read the [Integration libraries index](./references/integrations/INDEX.md). This contains information about which integration libraries exist, and references on how to create new custom integrations for tools that do not have a published library.
dg CLI
The `dg` CLI is the recommended way to programmatically interact with Dagster (adding definitions, launching runs, exploring project structure, etc.). It is installed as part of the `dagster-dg-cli` package. If a relevant CLI command for a given task exists, always attempt to use it.
ONLY explore the existing project structure if it is strictly necessary to accomplish the user's goal. In many cases, existing CLI tools will have sufficient understanding of the project structure, meaning listing and reading existing files is wasteful and unnecessary.
Almost all `dg` commands that return information have a `--json` flag that can be used to get the information in a machine-readable format. This should be preferred over the default table output unless you are directly showing the information to the user.
UV Compatibility
Projects typically use `uv` for dependency management, and it is recommended to use it for `dg` commands if possible:
uv run dg list defs uv run dg launch --assets my_asset
CRITICAL: Always Read Reference Files Before Answering
NEVER answer from memory or guess at CLI commands, APIs, or syntax. ALWAYS read the relevant reference file(s) from the Reference Index below before responding.
For every question, identify which reference file(s) are relevant using the index descriptions, read them, then answer based on what you read.
Reference Index
<!-- BEGIN GENERATED INDEX -->
- [Asset Selection Syntax](./references/asset-selection.md) — filtering assets by tag, group, kind, upstream, or downstream; AssetSelection in Python, UI search bar, or CLI
- [Environment Variables](./references/env-vars.md) — configuring environment variables across different environments
- [Asset Patterns](./references/assets/INDEX.md) — defining assets, dependencies, metadata, partitions, or multi-asset definitions
- [Choosing an Automation Approach](./references/automation/choosing-automation.md) — deciding between schedules, sensors, and declarative automation
- [Schedules](./references/automation/schedules.md) — time-based automation with cron expressions
- [Declarative Automation](./references/automation/declarative-automation/INDEX.md) — asset-centric condition-based automation using AutomationCondition
- [Asset Sensors](./references/automation/sensors/asset-sensors.md) — triggering on asset materialization events
- [Basic Sensors](./references/automation/sensors/basic-sensors.md) — event-driven automation with file watching or custom polling
- [Run Status Sensors](./references/automation/sensors/run-status-sensors.md) — reacting to run success, failure, or other status changes
- [dg check](./references/cli/check.md) — validating project configuration or definitions
- [create-dagster](./references/cli/create-dagster.md) — creating a new Dagster project from scratch
- [dg dev](./references/cli/dev.md) — starting a local Dagster development instance
- [dg launch](./references/cli/launch.md) — materializing assets or executing jobs locally
- [dg list components](./references/cli/list-components.md) — seeing available component types for scaffolding
- [dg list defs](./references/cli/list-defs.md) — listing or filtering registered definitions
- [Dagster Plus API](./references/cli/api/INDEX.md) — dg api, programmatically querying or managing Dagster Plus resources (assets, runs, deployments, code locations, schedules, sensors, secrets, issues, etc.)
- [dg list](./references/cli/list/INDEX.md) — exploring project structure (component tree, environment variables, workspace projects)
- [Dagster Plus CLI](./references/cli/plus/INDEX.md) — dg plus, Dagster Plus authentication, configuration, and deployment; logging in, setting config, creating API tokens, deploying code, pulling env vars, managing dbt manifests
- [dg scaffold component](./references/cli/scaffold/component.md) — creating a custom reusable component type
- [dg scaffold defs](./references/cli/scaffold/defs.md) — adding new definitions (assets, schedules, sensors, components) to a project
- [dg utilities](./references/cli/utils/INDEX.md) — dg utils, inspecting component types, viewing integrations, refreshing state-backed component cache
- [Creating Components](./references/components/creating-components.md) — building a new custom component from scratch
- [Designing Component Integrations](./references/components/designing-component-integrations.md) — designing a component that wraps an external service or tool; custom integrations
- [Resolved Framework](./references/components/resolved-framework.md) — defining custom YAML schema types using Resolver, Model, or Resolvable
- [Subclassing Components](./references/components/subclassing-components.md) — extending an existing component via subclassing; customi
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.

