Which programming languages are supported?

It provides deep technical guidance for Python (pdb), Go (delve), Rust (lldb/gdb), and Node.js (inspect).

Can it help with deadlocks or race conditions?

Absolutely. It includes specific commands for inspecting goroutines in Go and threads in Rust to identify concurrency issues.

Does this skill work with Kubernetes?

Yes, it includes specialized workflows for using kubectl debug and ephemeral containers to troubleshoot running pods without restarting them.

Is it safe to use these techniques in production?

Yes, the skill emphasizes production-safe techniques like structured logging, distributed tracing, and correlation IDs that minimize performance impact.

How does it help with IDE integration?

It provides configuration patterns for VS Code integration, including launch.json setups for remote debugging and language extensions.

Advanced Debugging Techniques

Name: Advanced Debugging Techniques
Author: ancoleman

byancoleman

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158

安全与测试

Provides expert debugging strategies for Python, Go, Rust, and Node.js across local, containerized, and production environments.

关于

This skill equips Claude with comprehensive debugging workflows tailored for modern polyglot development, covering language-specific tools like Delve, LLDB, and PDB. It bridges the gap between local development and complex production environments by providing actionable guidance for containerized debugging via ephemeral containers and production-safe observability patterns like distributed tracing and correlation IDs. Whether you are troubleshooting a Go goroutine deadlock, a memory leak in Node.js, or a network issue in a distroless Kubernetes pod, this skill offers the specific commands and decision frameworks needed to resolve issues quickly.

主要功能

Production-safe observability using correlation IDs and tracing
Remote debugging setup and core dump analysis
Kubernetes ephemeral container and Docker debugging patterns
158 GitHub stars
Language-specific workflows for Python, Go, Rust, and Node.js
Interactive debugger command references (PDB, Delve, LLDB)

使用场景

Analyzing race conditions and deadlocks in Go or Rust applications
Troubleshooting complex microservices using distributed tracing and correlation IDs
Debugging minimal or distroless Kubernetes pods with ephemeral containers

关于

主要功能

Production-safe observability using correlation IDs and tracing
Remote debugging setup and core dump analysis
Kubernetes ephemeral container and Docker debugging patterns
158 GitHub stars
Language-specific workflows for Python, Go, Rust, and Node.js
Interactive debugger command references (PDB, Delve, LLDB)

使用场景

Analyzing race conditions and deadlocks in Go or Rust applications
Troubleshooting complex microservices using distributed tracing and correlation IDs
Debugging minimal or distroless Kubernetes pods with ephemeral containers