python-debugger

Debugging a traceback involves reading the error message and stack trace to locate where the exception originated, then reproducing the issue in isolation to identify the root cause. This Skill guides you through interpreting tracebacks, systematically reproducing the failure, and pinpointing which line or logic caused the problem.

Interactive debuggers like pdb and icecream let you pause execution, inspect variable state, and step through code. This Skill provides guidance on when and how to deploy these tools—setting breakpoints, inspecting locals, and stepping through suspect code—to isolate bugs without modifying production logic.

None-type errors and import failures require understanding why an expected object is None or a module cannot load. This Skill walks through reproduction workflows, defensive patterns to prevent these errors, and verification steps to ensure fixes work across your modules and scripts.

Logic bugs spanning multiple files require tracing execution flow and state across module boundaries. This Skill supports structured reproduction, isolation techniques, and step-by-step verification across scripts and services to identify where logic diverges from intent.

Debugging becomes harder with deep dependency chains and distributed state. This Skill applies structured isolation and verification workflows, but edge cases like non-deterministic timing or external service failures may require additional instrumentation or specialized tools beyond the core debugging approach.