python-debugging

Insert breakpoints and inspect runtime state in Python code.

6|2|Updated Jan 11, 2026

Search Tags:#debugging #python #breakpoints #ast #pdb #ipdb

Ready to run

npx skills add https://github.com/trotsky1997/My-Claude-Agent-Skills --skill python-debugging

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python-debugging
Source: https://github.com/trotsky1997/My-Claude-Agent-Skills/tree/main/python-debugging
Command: npx skills add https://github.com/trotsky1997/My-Claude-Agent-Skills --skill python-debugging

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables AI agents to debug Python code autonomously without relying on an IDE, inserting breakpoints programmatically, inspecting execution state, and automating common debugging workflows.

Core Features & Use Cases

AST-driven analysis: Use Python's AST to identify key code structures for targeted debugging.
Automated breakpoint insertion: Place breakpoints at function entries, loop starts, conditionals, and exception handlers to observe state.
Hands-free debugging workflows: Run, inspect, adjust, and cleanup breakpoints across scripts with minimal intervention.

Quick Start

Run the AI-assisted debugging workflow on a Python script:

python scripts/auto_debug_assistant.py your_script.py
After insertion, run the target script to pause at breakpoints and inspect variables.

Frequently Asked Questions about python-debugging

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

FAQPage Schema

How do I debug Python code autonomously without an IDE?▼

Autonomous Python debugging without an IDE works by using AST analysis to programmatically insert breakpoints at functions, loops, and conditionals, letting you inspect runtime state directly from the command line.

What is AST-based breakpoint insertion and how does it work?▼

AST-based breakpoint insertion works by analyzing Python's Abstract Syntax Tree to identify key code structures like exception handlers and loop starts, then automatically placing breakpoints at those targeted locations to observe state.

Can I use pdb and ipdb for automated debugging workflows?▼

Yes, automated debugging workflows support multi-debugger environments including pdb, ipdb, and debugpy, allowing you to run scripts, inspect variables, and adjust execution with your preferred debugger.

What is the best way to clean up breakpoints after inspecting Python runtime state?▼

The best way to clean up inserted breakpoints is through automated cleanup workflows that remove the programmatic breakpoints after you finish inspecting the execution state, ensuring your original scripts remain unmodified.

Does automated Python debugging work with exception handling and conditionals?▼

Yes, automated Python debugging works with exception handling and conditionals by targeting these specific AST code structures for breakpoint insertion, allowing you to observe runtime state during complex execution flows.

Why should I use AST analysis instead of manually setting pdb breakpoints?▼

Using AST analysis instead of manually setting pdb breakpoints enables hands-free debugging workflows, automatically placing breakpoints at key structures and cleaning them up afterwards with minimal intervention required.