Python Debugger

Name: Python Debugger
Author: majesticlabs-dev

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by majesticlabs-dev · vlatest · Repository

Troubleshoot Python code errors and logic flaws within your backend systems using interactive debugging sessions.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

Run in terminal (recommended)

terminal

claude mcp add python-debugger npx -- -y @trustedskills/python-debugger

Or manually add to ~/.claude/settings.json

~/.claude/settings.json

{
  "mcpServers": {
    "python-debugger": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/python-debugger"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The python-debugger skill allows AI agents to step through Python code, inspect variables, and identify the root cause of errors. It provides debugging capabilities such as setting breakpoints, examining the call stack, and evaluating expressions within the context of a running program. This is crucial for diagnosing and resolving issues in complex Python applications.

When to use it

Troubleshooting failing scripts: Use when an AI agent's Python script produces unexpected results or errors.
Understanding unfamiliar code: Employ this skill to understand the flow of execution within a piece of existing Python code.
Debugging automated tasks: Help agents diagnose and fix issues in automated workflows built with Python.
Analyzing complex logic: When an agent is struggling to achieve a goal due to intricate Python logic, use debugging to pinpoint bottlenecks or errors.

Key capabilities

Breakpoint setting
Variable inspection
Call stack examination
Expression evaluation

Example prompts

"Debug this Python script and tell me why it's crashing."
"Set a breakpoint at line 25 of the process_data.py file and show me the value of user_id."
“Step through this code execution and explain what each line does.”

Tips & gotchas

The skill requires access to the Python environment where the script is running. Ensure that the agent has appropriate permissions and a working Python installation for effective debugging.

View Repository →

TrustedSkills Verification

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Security Audits

Gen Agent Trust Hub	Pass
Socket	Pass
Snyk	Pass

Details

Version: vlatest
License
Author: majesticlabs-dev
Installs: 22

Repository (canonical source) →

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Passed automated security scans.