python-debugger

Diagnose Python errors by analyzing tracebacks and reproducing issues.

47|11|Updated Nov 26, 2025

Search Tags:#debugging #python #error-handling #pdb #icecream #traceback

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npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill python-debugger

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python-debugger
Source: https://github.com/majesticlabs-dev/majestic-marketplace/tree/main/plugins/majestic-python/skills/python-debugger
Command: npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill python-debugger

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill guides systematic debugging of Python errors, exceptions, and unexpected behavior.

Core Features & Use Cases

Reading and interpreting tracebacks, reproduction steps, and root-cause analysis.
Guidance on using pdb or icecream for interactive debugging.
Defensive patterns and fixes, verification steps.

Quick Start

Provide a failing snippet or traceback and follow the guided steps to reproduce and fix.

Frequently Asked Questions about python-debugger

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

FAQPage Schema

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

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.

What's the best way to use pdb or icecream for interactive debugging in Python?▼

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.

How do I fix None-type errors and import failures in Python modules?▼

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.

Can I debug logic bugs and runtime exceptions across multiple Python files?▼

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.

What are the limitations when debugging complex Python services or dependencies?▼

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.