Error Debugging Multi Agent Review

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by rmyndharis · vlatest · Repository

Helps with debugging, code review as part of testing, debugging, and quality assurance 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 rmyndharis-error-debugging-multi-agent-review npx -- -y @trustedskills/rmyndharis-error-debugging-multi-agent-review
2

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

~/.claude/settings.json
{
  "mcpServers": {
    "rmyndharis-error-debugging-multi-agent-review": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/rmyndharis-error-debugging-multi-agent-review"
      ]
    }
  }
}

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

About This Skill

What it does

This skill facilitates the review and debugging of errors arising from multi-agent workflows. It helps identify root causes within complex agent interactions, pinpointing where failures occur and suggesting corrective actions. The skill provides a structured approach to analyzing error logs and communication patterns between agents to improve overall system reliability.

When to use it

  • Debugging failed task sequences: When an automated workflow involving multiple AI agents fails to complete successfully.
  • Analyzing inconsistent results: When different agents produce conflicting outputs or behaviors, leading to unpredictable outcomes.
  • Improving agent collaboration: To diagnose issues stemming from miscommunication or coordination problems between agents.
  • Optimizing multi-agent system performance: When identifying bottlenecks and error sources impacting the efficiency of a complex AI system.

Key capabilities

  • Error log analysis
  • Agent communication pattern identification
  • Root cause determination within agent interactions
  • Corrective action suggestions

Example prompts

  • "Analyze this error log from my multi-agent sales process and identify the root cause."
  • "I'm seeing inconsistent results between Agent A and Agent B. Can you review their communication history?"
  • "This task sequence failed; please provide a detailed breakdown of where the errors occurred and suggest fixes."

Tips & gotchas

The skill’s effectiveness depends on having access to comprehensive error logs and agent interaction data. Ensure sufficient logging is enabled within your multi-agent system for optimal results.

Tags

🛡️

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Details

Version
vlatest
License
Author
rmyndharis
Installs
15

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Passed automated security scans.