Actions Debugger

What it does

The actions-debugger skill provides tools to inspect and understand the execution flow of AI agent actions. It allows you to step through action sequences, examine variables at each stage, and identify potential bottlenecks or errors in your agent's logic. This facilitates debugging complex workflows and improving overall agent performance.

When to use it

• Troubleshooting unexpected behavior: When an agent isn’t performing as expected, use this skill to trace its actions and pinpoint the source of the problem.
• Understanding complex action chains: For agents with many sequential actions, debugging becomes easier by stepping through each one individually.
• Optimizing performance: Identify slow or inefficient actions within a workflow to improve overall agent speed.
• Validating logic: Verify that your agent is executing actions in the correct order and with the expected parameters.

Key capabilities

• Step-by-step action execution tracing
• Variable inspection at each step
• Identification of potential bottlenecks

Example prompts

• "Debug my agent's 'order pizza' flow."
• "Show me the variables when executing the 'search for flights' action."
• "Trace the actions leading up to the error in my booking process."

Tips & gotchas

The effectiveness of this skill depends on having clear and well-defined actions within your agent’s configuration. It is best used during development and testing phases, as it may introduce overhead when running agents in production environments.