Debug Python applications interactively and remotely via pdb and debugpy DAP.
npx skills add https://github.com/devMoez/titan --skill python-debugpy-devmoez
Please help me install this Agent Skill. Skill: python-debugpy Source: https://github.com/devMoez/titan/tree/main/skills/software-development/python-debugpy Command: npx skills add https://github.com/devMoez/titan --skill python-debugpy-devmoez
This Skill helps you diagnose failing Python code by letting you pause execution, inspect state, and step through the exact moment things go wrong.
Example use case: your Titan-related test fails but the traceback doesn’t explain why a value is wrong, so you drop into pdb at the failing test frame to inspect locals and control flow, then switch to debugpy when the issue is in a long-running gateway process that can’t be easily restarted.
Use breakpoint() at the suspect line, run the code, and interact at the (Pdb) prompt to inspect locals and step through the failing path.
High-intent search queries and answers about installing and using this skill.
You can debug Python scripts using pdb by running the code under the debugger to interactively step through execution, inspect locals, and set conditional breakpoints without editing the source files.
You can attach a debugger to long-running Python processes using debugpy's DAP protocol over a specified host and port, enabling remote inspection of daemons or gateways without restarting them.
Post-mortem exception inspection in Python lets you drop into the crash site frame to see locals and control flow, which is essential when a traceback does not explain why a value is wrong.
Yes, you can debug pytest failures by dropping into pdb at the failing test frame to inspect locals and control flow, or by using breakpoint() to pause execution at the suspected line.
The breakpoint() function offers simple local REPL inspection at a suspect line, while debugpy provides remote, attach-style debugging over the DAP protocol for headless or long-lived processes.
Use debugpy listen and wait_for_client workflows when diagnosing failures in long-running Python processes that cannot be easily restarted, allowing an IDE to attach via the DAP protocol.
webdevtodayjasonDebug Python code locally or remotely using pdb and debugpy protocols.
DarkArty07Debug Python code locally, remotely, and post-mortem using pdb and debugpy.
ZardLi1115Pause Python execution and inspect state via pdb or debugpy DAP.
randalmurphalTrace root causes through call stacks with pdb, debugpy, and logging analysis.
