network-debugging

What it does

This skill enables AI agents to diagnose connectivity issues, analyze HTTP traffic, and troubleshoot server responses. It automates the process of identifying root causes for network failures by interpreting logs and request data.

When to use it

• Investigating why a specific API endpoint returns 500 or 404 errors in production.
• Analyzing packet loss or latency spikes during load testing phases.
• Verifying that DNS resolution is functioning correctly across different regions.
• Debugging SSL/TLS handshake failures between client applications and backend services.

Key capabilities

• Traffic Analysis: Inspects incoming and outgoing network packets to identify bottlenecks.
• Log Interpretation: Parses server logs to extract error codes and stack traces related to connectivity.
• Protocol Validation: Checks adherence to HTTP, TCP, and DNS standards during transactions.
• Root Cause Identification: Correlates timing data with specific network events to pinpoint failure origins.

Example prompts

• "Analyze these HTTP response logs and explain why the payment gateway is timing out."
• "Simulate a network trace for a failed login request and identify the blocking firewall rule."
• "Debug this DNS resolution error by checking the TTL values and server responses."

Tips & gotchas

Ensure you have access to raw log files or packet captures before running diagnostics, as the skill relies on concrete data rather than guesses. Limit analysis to environments where network traffic is permitted for inspection to avoid security violations.