Dynamic Debugger

About

The Dynamic Debugger skill transforms Claude Code into a powerful debugging environment by integrating the Debug Adapter Protocol (DAP) via MCP. It allows developers to troubleshoot complex logic, inspect variable states, and manage execution flow using conversational commands rather than manual IDE configurations. By supporting Python, C, C++, and Rust, this skill provides a unified interface for catching segfaults, tracing async execution, and resolving runtime errors directly within the agentic workflow, significantly reducing the friction of the edit-test-debug cycle.

Key Features

• Real-time variable inspection, expression evaluation, and call stack visualization
• 17 GitHub stars
• Seamless integration with DAP-compatible debuggers like debugpy and lldb-dap
• Built-in resource safeguards including memory limits and session timeouts
• Natural language control for breakpoints, stepping, and execution flow
• Automatic programming language detection and context-aware session management

Use Cases

• Troubleshooting memory leaks and segmentation faults in C++ or Rust applications
• Tracing complex logic flow during unit test failures without switching to a separate IDE
• Diagnosing asynchronous execution bugs and promise chain failures in Python or JavaScript