Debug
Automatically identifies and suggests fixes for common coding errors in Python scripts.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add elie222-debug npx -- -y @trustedskills/elie222-debug
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"elie222-debug": {
"command": "npx",
"args": [
"-y",
"@trustedskills/elie222-debug"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides debugging capabilities for AI agents. It allows users to inspect the agent's internal state, step through its reasoning process, and identify potential errors or inefficiencies. The debug tool helps understand why an agent is behaving in a certain way and facilitates iterative improvements to its performance.
When to use it
- When an AI agent produces unexpected or incorrect results.
- To understand the decision-making process of an agent when troubleshooting complex tasks.
- During development and testing phases to identify and fix bugs within an agent's workflow.
- For analyzing agent behavior in edge cases or unusual scenarios.
Key capabilities
- Inspect internal state
- Step through reasoning process
- Identify errors and inefficiencies
Example prompts
- "Debug the last action taken by the agent."
- "Show me the current values of all variables."
- "Explain why the agent chose this particular course of action."
Tips & gotchas
This skill is most effective when used in conjunction with a well-defined and structured AI agent architecture. Understanding the underlying code or logic of the agent will significantly enhance your ability to interpret the debugging information provided.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.