Debugging Dags
Identifies and resolves data pipeline errors within Astronomer DAGs using automated analysis and suggested fixes.
Install on your platform
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Run in terminal (recommended)
claude mcp add debugging-dags npx -- -y @trustedskills/debugging-dags
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"debugging-dags": {
"command": "npx",
"args": [
"-y",
"@trustedskills/debugging-dags"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The debugging-dags skill helps identify and resolve issues in Directed Acyclic Graphs (DAGs), commonly used in workflow automation systems like Apache Airflow. It provides tools to trace execution paths, detect errors, and analyze dependencies between tasks.
When to use it
- When a DAG fails unexpectedly during execution.
- To understand why certain tasks are not running as expected.
- While troubleshooting complex workflows with multiple interdependent tasks.
- To optimize performance by identifying bottlenecks or redundant steps in the graph.
Key capabilities
- Task dependency analysis
- Execution path tracing
- Error detection and resolution
- Performance optimization suggestions
Example prompts
- "Find why task 'data_load' is failing in my DAG."
- "Trace the execution path of this DAG to identify bottlenecks."
- "Analyze dependencies between tasks in this workflow."
Tips & gotchas
- Ensure your DAGs are properly structured and documented for accurate analysis.
- This skill works best with well-defined workflows; highly dynamic or unstructured graphs may yield less useful results.
Tags
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