python-debug

Decode Python tracebacks and guide pdb debugging workflows.

5|3|Updated Jun 18, 2024

Search Tags:#debugging #logging #python #debug #observability #pdb #tracebacks

Ready to run

npx skills add https://github.com/Unique-AG/ai --skill python-debug

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python-debug
Source: https://github.com/Unique-AG/ai/tree/main/.claude/skills/python-debug
Command: npx skills add https://github.com/Unique-AG/ai --skill python-debug

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

Python debugging is made easier by interpreting tracebacks, stepping through code with pdb, and enabling structured logging to observe behavior across environments.

Core Features & Use Cases

Reading tracebacks: parse errors, identify root causes, and recognize common exceptions in Python.
Interactive debugging with pdb: set breakpoints, step through execution, and inspect variables and state.
Structured logging: configure and apply a consistent logging setup for tests and production.
Reusable logging template: reference assets/logging_config.py to standardize logging configuration.

Quick Start

Diagnose a failing function by reading the traceback, inserting a breakpoint with pdb, and enabling structured logging to capture state changes.

Frequently Asked Questions about python-debug

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I read a Python traceback to find the root cause of an error?▼

To debug Python code with pdb, set breakpoints, step through execution, and inspect variables and state. This Skill guides interactive pdb workflows to resolve issues across modules by viewing state at each execution step.

How do I configure structured logging for Python tests and production?▼

Configuring structured logging in Python requires a consistent setup to capture state changes and ensure observability across environments. This Skill applies a reusable logging template to standardize logging configuration for tests and production.

What is the best way to debug a failing Python function across modules?▼

The best way to debug a failing Python function is to read the traceback, insert a pdb breakpoint, and enable structured logging. This approach captures state changes and steps through execution to resolve cross-module issues.

Can I diagnose Python failures without setting up logging beforehand?▼

Python debugging limitations arise when state changes lack visibility without structured logging. Relying solely on tracebacks may miss cross-module issues, so configuring consistent logging and using pdb stepping ensures comprehensive observability and resolution.