Debug Council

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by michaelboeding · vlatest · Repository

Analyzes test failures, suggests root causes, and proposes targeted fixes based on Michael Boeding's debugging expertise.

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 debug-council npx -- -y @trustedskills/debug-council
2

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

~/.claude/settings.json
{
  "mcpServers": {
    "debug-council": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/debug-council"
      ]
    }
  }
}

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

About This Skill

What it does

The debug-council skill provides a structured approach to debugging complex AI agent behavior. It helps identify root causes by prompting the agent to articulate its reasoning process, potential errors, and suggest corrective actions. This facilitates more targeted troubleshooting and improves overall agent reliability.

When to use it

  • When an AI agent is exhibiting unexpected or incorrect behavior that's difficult to diagnose.
  • To understand why an agent made a specific decision in a complex workflow.
  • During the development process to proactively identify and address potential failure points.
  • When needing to improve the explainability of an AI agent’s actions.

Key capabilities

  • Reasoning articulation: Prompts the agent to describe its thought process.
  • Error identification: Guides the agent in identifying potential sources of error.
  • Corrective action suggestions: Facilitates the generation of solutions or adjustments.

Example prompts

  • "Explain your reasoning for choosing option X and identify any potential flaws."
  • "Walk me through the steps you took to arrive at this conclusion, highlighting any uncertainties."
  • "If you were to debug your previous response, what would be the first thing you investigate?"

Tips & gotchas

The effectiveness of debug-council relies on the agent's ability to self-reflect and articulate its internal state. It may require some initial prompting or calibration depending on the underlying AI model.

Tags

🛡️

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Details

Version
vlatest
License
Author
michaelboeding
Installs
5

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Passed automated security scans.