What languages does the Dynamic Debugger support?

Currently, the skill supports Python, C, C++, and Rust. Support for JavaScript, TypeScript, Go, Java, and C# is planned for future updates.

Can I inspect variables during a live debug session?

Absolutely. You can use natural language to ask 'What is the value of variable X?' or 'Show all local variables' while the execution is paused at a breakpoint.

Is it safe to use the Dynamic Debugger on my system?

The skill runs with your user privileges and requires filesystem and process execution access. It is recommended to only debug code you trust and use it within a secure development environment.

Do I need to install external dependencies?

Yes, you must have the dap-mcp server installed along with language-specific debuggers such as debugpy for Python or lldb-dap for C/C++/Rust.

How do I activate the Dynamic Debugger skill?

The skill is disabled by default for security. You can activate it by explicitly asking Claude to 'use the dynamic-debugger skill' or by setting disableModelInvocation to false in the SKILL.md file.

Dynamic Debugger

Name: Dynamic Debugger
Author: rysweet

byrysweet

•

Seguridad y Pruebas

Enables interactive, natural language debugging for Python, C, C++, and Rust through DAP-MCP integration.

Acerca de

The Dynamic Debugger skill empowers developers to debug complex codebases directly within the Claude Code environment using simple natural language commands. By leveraging the Debug Adapter Protocol (DAP) via MCP servers, it allows users to set breakpoints, step through execution flows, and inspect variables across multiple languages like Python, C, C++, and Rust without leaving the chat interface. This skill bridges the gap between high-level reasoning and low-level runtime inspection, making it indispensable for troubleshooting asynchronous bugs, memory issues, or logical errors in real-time.

Características Principales

Natural language debugging commands for intuitive execution control
Granular control over breakpoints and step-by-step code execution
Real-time variable inspection and call stack visualization
Support for Debug Adapter Protocol (DAP) via MCP server integration
Multi-language compatibility including Python, C, C++, and Rust
17 GitHub stars

Casos de Uso

Tracing complex execution paths to identify the root cause of logic errors
Troubleshooting asynchronous logic and execution state in Python applications
Diagnosing memory leaks and segmentation faults in C++ or Rust codebases

Acerca de

Características Principales

Natural language debugging commands for intuitive execution control
Granular control over breakpoints and step-by-step code execution
Real-time variable inspection and call stack visualization
Support for Debug Adapter Protocol (DAP) via MCP server integration
Multi-language compatibility including Python, C, C++, and Rust
17 GitHub stars

Casos de Uso

Tracing complex execution paths to identify the root cause of logic errors
Troubleshooting asynchronous logic and execution state in Python applications
Diagnosing memory leaks and segmentation faults in C++ or Rust codebases