Authoring Dags
This skill generates directed acyclic graphs (DAGs) to visualize and automate complex workflows, streamlining processes and boosting efficiency.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add authoring-dags npx -- -y @trustedskills/authoring-dags
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"authoring-dags": {
"command": "npx",
"args": [
"-y",
"@trustedskills/authoring-dags"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The authoring-dags skill enables AI agents to create and manage Directed Acyclic Graphs (DAGs), which are used in workflow orchestration systems like Apache Airflow. It allows users to define tasks, set dependencies between them, and schedule workflows for execution.
When to use it
- Automating data pipelines with complex task dependencies
- Scheduling recurring batch jobs or ETL processes
- Building modular and reusable workflow components
Key capabilities
- Define DAGs using code or visual interfaces
- Set up task dependencies and scheduling intervals
- Integrate with external systems for execution and monitoring
Example prompts
- "Create a DAG that runs data ingestion tasks every day at midnight."
- "Define a workflow with three dependent tasks: extract, transform, load."
- "Generate a DAG template for batch processing of user activity logs."
Tips & gotchas
- Ensure your environment supports DAG execution frameworks like Apache Airflow.
- Use version control to track changes in DAG definitions and avoid conflicts.
Tags
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| Snyk | Pass |
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