Universal Debug

What it does

The universal-debug skill provides a standardized way to diagnose and troubleshoot issues within AI agent workflows. It can analyze error messages, identify the root cause of failures, and suggest potential solutions across various tools and platforms. This allows for faster debugging cycles and improved overall system reliability.

When to use it

• Debugging failed API calls: When an agent encounters errors while interacting with external APIs, this skill helps pinpoint the source of the problem (e.g., incorrect parameters, authentication issues).
• Analyzing unexpected behavior: If an agent is producing inconsistent or incorrect results, universal-debug can help trace back the steps and identify where the logic went wrong.
• Troubleshooting complex workflows: For multi-step processes involving multiple tools, this skill simplifies debugging by providing a consolidated view of potential failure points.
• Identifying performance bottlenecks: The skill can analyze execution times to highlight areas where optimization is needed.

Key capabilities

• Error message analysis
• Root cause identification
• Solution suggestion
• Workflow tracing
• Performance bottleneck detection

Example prompts

• "Analyze this error: [error message] and suggest a fix."
• "Trace the execution of my workflow and identify why it failed at step 3."
• "What's causing this unexpected output? Here's the input: [input data]."

Tips & gotchas

The skill’s effectiveness depends on providing clear and complete error messages or descriptions of the problematic behavior. It is designed to work across diverse systems, but may require specific context for optimal results.