Debug

What it does

This skill allows an AI agent to step through code execution, inspect variables at different points, and identify the root cause of errors. It provides debugging capabilities similar to a traditional debugger, enabling agents to understand and correct their own logic or that of other tools they are using. The skill facilitates pinpointing issues within complex workflows and improving overall agent reliability.

When to use it

• When an AI agent is producing unexpected results or failing to complete tasks correctly.
• To diagnose errors occurring when integrating with external APIs or services.
• For understanding the internal workings of a tool or skill used by the agent.
• During development and testing phases to identify and fix bugs in agent logic.

Key capabilities

• Step-by-step code execution
• Variable inspection at runtime
• Error identification and root cause analysis
• Debugging integration with other tools

Example prompts

• "Debug the following Python script, paying close attention to the calculate_average function."
• "Trace the execution of this workflow and show me the value of user_input after each step."
• "I'm getting an error when calling the external API. Can you debug the API call?"

Tips & gotchas

The agent must have access to the code being executed for debugging to be effective. Complex or obfuscated code may be more difficult to debug, even with this skill.