Dag Failure Analyzer
This tool analyzes failed DAG runs to pinpoint causes and improve data processing reliability – crucial for troubleshooting and preventing future errors.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add curiositech-dag-failure-analyzer npx -- -y @trustedskills/curiositech-dag-failure-analyzer
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"curiositech-dag-failure-analyzer": {
"command": "npx",
"args": [
"-y",
"@trustedskills/curiositech-dag-failure-analyzer"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The dag-failure-analyzer skill analyzes Directed Acyclic Graph (DAG) failure logs to identify root causes and suggest remediation steps. It can parse complex log structures, correlate events across different components within the DAG, and provide concise summaries of failure sequences. This helps users quickly understand why a DAG job failed and what actions need to be taken to prevent future occurrences.
When to use it
- Debugging failing data pipelines: Use when your ETL processes or other DAG-based workflows are experiencing errors.
- Analyzing complex system failures: Employ this skill when troubleshooting issues involving multiple interconnected services within a DAG.
- Root cause analysis: Leverage the tool to pinpoint the precise source of problems in DAG execution, beyond simple error messages.
- Improving pipeline reliability: Use insights from failure analysis to proactively address potential weaknesses and enhance overall robustness.
Key capabilities
- DAG log parsing
- Event correlation across components
- Root cause identification
- Remediation suggestions
- Concise failure summaries
Example prompts
- "Analyze this DAG failure log: [paste log content]"
- "What was the root cause of the error in this DAG execution?"
- "Summarize the sequence of events that led to this DAG job failing."
Tips & gotchas
The skill requires access to detailed DAG logs. The accuracy of the analysis depends on the completeness and quality of the provided log data.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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