Can this skill help with production log analysis?

Yes, it includes specific commands for using grep and jq to filter large application logs for errors, critical exceptions, and specific patterns across various timestamps.

What languages does the Debug skill support?

It provides specialized patterns for Python and JavaScript/Node.js, but the general debugging workflows and shell-based log analysis techniques are applicable to almost any programming environment.

Does it support database and network troubleshooting?

Absolutely. It offers guidance for SQL query analysis, identifying missing indexes, and using network tools like cURL, nslookup, and openssl to debug API connectivity.

How does it assist with performance issues?

The skill provides instructions for using Python's cProfile, Node.js profiling flags, and various memory profilers to identify resource-heavy functions and bottlenecks.

Code Debugger & Troubleshooting

Name: Code Debugger & Troubleshooting
Author: thechandanbhagat

bythechandanbhagat

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Analytics & Monitoring

Diagnoses software defects, analyzes stack traces, and identifies root causes across multiple programming languages and environments.

About

The Debug skill is a comprehensive diagnostic toolkit designed to empower Claude with systematic troubleshooting capabilities. It provides structured patterns for interpreting Python and JavaScript stack traces, analyzing application logs using advanced shell commands, and identifying architectural anti-patterns such as race conditions, memory leaks, and off-by-one errors. By offering specific guidance for interactive debuggers, performance profilers, and network investigation, this skill transforms Claude into an expert site reliability engineer and senior developer capable of resolving complex production issues and performance bottlenecks.

Key Features

Performance profiling and database query optimization guidance
Multi-language stack trace interpretation for Python and JavaScript
Systematic error investigation workflows and debugging checklists
Advanced log analysis using structured JSON parsing and grep patterns
1 GitHub stars
Identification of common bug patterns like race conditions and memory leaks

Use Cases

Identifying and fixing hidden memory leaks or performance bottlenecks in enterprise applications
Resolving production crashes by interpreting complex asynchronous stack traces and error logs
Troubleshooting flaky tests and intermittent race conditions in multi-threaded environments

About

Key Features

Performance profiling and database query optimization guidance
Multi-language stack trace interpretation for Python and JavaScript
Systematic error investigation workflows and debugging checklists
Advanced log analysis using structured JSON parsing and grep patterns
1 GitHub stars
Identification of common bug patterns like race conditions and memory leaks

Use Cases

Identifying and fixing hidden memory leaks or performance bottlenecks in enterprise applications
Resolving production crashes by interpreting complex asynchronous stack traces and error logs
Troubleshooting flaky tests and intermittent race conditions in multi-threaded environments