python-debugpy

Debug a failing Python process by using interactive pdb commands or attaching debugpy to inspect live execution state. This Skill guides you through setting breakpoints and tracing code behavior to identify the root cause of subprocess or daemon failures.

Attaching a debugger to a long-running Python service requires remote debugging with debugpy and DAP workflows. This approach lets you connect to headless processes and inspect variables without restarting the service or interrupting its execution flow.

Post-mortem debugging in Python activates pdb after an exception crashes the process, allowing you to inspect the execution state and variables at the exact point of failure. This Skill explains how to trigger post-mortem analysis to trace code behavior reliably.

Yes, you can use DAP breakpoints with Python tests by configuring debugpy to attach to the test runner process. This Skill provides workflows for inspecting failing tests and tracing code behavior through interactive and remote debugging environments.

Knowledge of pdb, debugpy, and DAP workflows is required to use this Python debugging workflow effectively. The Skill guides breakpoint usage and environment considerations but expects familiarity with these debugging tools for reliable runtime diagnosis.