Dag Convergence Monitor
Monitors DAG convergence in complex AI workflows, alerting to potential instability or optimization bottlenecks.
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-convergence-monitor npx -- -y @trustedskills/curiositech-dag-convergence-monitor
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"curiositech-dag-convergence-monitor": {
"command": "npx",
"args": [
"-y",
"@trustedskills/curiositech-dag-convergence-monitor"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The curiositech-dag-convergence-monitor skill provides real-time monitoring of Directed Acyclic Graph (DAG) convergence. It tracks the progress of tasks within a DAG, identifying potential bottlenecks and ensuring efficient workflow execution. This allows for proactive intervention to maintain optimal performance and prevent delays in complex processes.
When to use it
- Complex Workflow Management: Use when orchestrating multiple interdependent tasks where completion order is critical (e.g., data processing pipelines).
- Resource Optimization: Monitor DAG convergence to identify underutilized or overloaded resources within a workflow.
- Troubleshooting Delays: Quickly pinpoint the source of delays in a DAG by observing task completion times and dependencies.
- Real-time Performance Insights: Gain immediate visibility into the health and efficiency of your automated processes.
Key capabilities
- Real-time DAG convergence tracking
- Task dependency visualization
- Bottleneck identification
- Performance metric reporting
Example prompts
- "Show me a graph of task completion times for my data ingestion pipeline."
- "Alert me if any tasks in the report generation workflow are taking longer than 5 minutes."
- “What is the current convergence status of the model training DAG?”
Tips & gotchas
This skill requires access to the underlying DAG execution environment. Ensure proper permissions and connectivity are configured for accurate monitoring data.
Tags
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