Debug Agent

What it does

The first-fluke-debug-agent skill allows AI agents to step through code execution, inspect variables at each step, and identify the root cause of errors. It provides a debugging environment within the agent's workflow, enabling iterative refinement and problem solving. This facilitates faster development cycles and improved agent reliability by pinpointing issues directly within the agent’s operational context.

When to use it

• Debugging complex workflows: When an agent is failing to achieve its goal due to unexpected behavior in a multi-step process.
• Identifying root causes of errors: Instead of just seeing an error message, understand why the agent took the actions that led to the failure.
• Understanding agent reasoning: Gain insight into how the agent arrives at decisions by observing its internal state during execution.
• Improving agent performance: Pinpoint bottlenecks or inefficiencies in the agent's logic and optimize for better results.

Key capabilities

• Step-by-step code execution
• Variable inspection at each step
• Error identification and root cause analysis
• Iterative refinement of agent behavior

Example prompts

• "Debug this Python script, stepping through each line and showing me the values of x and y."
• "Trace the execution of my agent's planning process, highlighting where it deviates from the expected path."
• "Show me a detailed breakdown of why my agent failed to complete task X. Include variable states at each step."

Tips & gotchas

The skill requires access to the code being executed by the AI agent and may need specific permissions depending on the environment. Ensure that debugging tools are properly configured within the agent's execution context for optimal results.