Dag Performance Profiler

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by curiositech · vlatest · Repository

Analyzes DAG execution performance, identifies bottlenecks, and suggests optimizations within CurioTech workflows.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add curiositech-dag-performance-profiler npx -- -y @trustedskills/curiositech-dag-performance-profiler
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "curiositech-dag-performance-profiler": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/curiositech-dag-performance-profiler"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The dag-performance-profiler skill analyzes Directed Acyclic Graphs (DAGs) to identify performance bottlenecks. It provides insights into the execution time of individual tasks and dependencies within a DAG, allowing for optimization efforts. This tool helps users understand where their workflows are slow and how to improve them.

When to use it

  • Debugging Slow Workflows: Use this skill when an automated process or pipeline is taking longer than expected.
  • Identifying Bottlenecks: Pinpoint specific tasks or dependencies that contribute most significantly to overall execution time.
  • Optimizing DAG Structure: Evaluate the impact of different task orderings and parallelization strategies on performance.
  • Resource Allocation: Determine if certain tasks are resource-intensive and require more powerful hardware.

Key capabilities

  • DAG analysis
  • Task execution time measurement
  • Dependency tracking
  • Performance bottleneck identification

Example prompts

  • "Analyze the DAG for my data processing pipeline."
  • "Show me which tasks in this workflow are taking the longest."
  • "Identify any dependencies that are causing delays in this DAG."

Tips & gotchas

The skill requires a properly formatted DAG as input, typically in a standard graph format. Ensure your DAG representation is accurate for reliable performance analysis.

Tags

🛡️

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Details

Version
vlatest
License
Author
curiositech
Installs
7

🌐 Community

Passed automated security scans.