Debug
Automatically identifies and suggests fixes for common coding errors based on John Lindquist's debugging techniques.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add johnlindquist-debug npx -- -y @trustedskills/johnlindquist-debug
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"johnlindquist-debug": {
"command": "npx",
"args": [
"-y",
"@trustedskills/johnlindquist-debug"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The johnlindquist-debug skill provides debugging assistance within AI agent workflows. It helps identify and resolve issues by providing insights into the reasoning process, suggesting potential fixes, and offering explanations for unexpected behavior. This allows users to troubleshoot problems more effectively and improve overall agent performance.
When to use it
- When an AI agent is producing incorrect or undesirable results.
- To understand why an agent made a specific decision in a complex workflow.
- During the development phase of an AI agent, to identify and fix bugs early on.
- When troubleshooting errors or unexpected behavior within an agent's execution.
Key capabilities
- Debugging assistance
- Reasoning process insights
- Suggestion of potential fixes
- Explanations for behavior
Example prompts
- "Debug the last step in this workflow and explain why it failed."
- "Why did you choose that action? I think there might be a better option."
- "Can you show me the reasoning behind your decision to [specific action]?"
Tips & gotchas
This skill is most effective when used with agents performing complex tasks or workflows. Providing context and specific details about the problem will help the skill provide more targeted and useful debugging assistance.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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