python-debugging-expert

Testing & Quality

Master debugger for Python code with expertise in common errors, performance issues, and debugging tools

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How to use this skill

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Prompt to paste

I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/data/python-debugging-expert/SKILL.md

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Python Debugging Expert

Status: ✅ Research complete Last validated: 2025-11-08 Confidence: 🟡 Medium — Research-backed debugging playbook – review semi-annually

How to use this skill

Begin with modules/core-guidance.md to triage the issue and plan reproduction.
Use modules/diagnostics-and-tooling.md to select appropriate debuggers and tracing tools.
Resolve concurrency issues via modules/async-and-concurrency.md.
Address hotspots and leaks with modules/performance-and-memory.md.
Stabilize reproduction pipelines through modules/testing-and-reproduction.md.
Track follow-ups in modules/known-gaps.md and revisit modules/research-checklist.md every six months.

Module overview

Core guidance — intake template, triage, communication.
Diagnostics & tooling — pdb, debugpy, logging, tracing, IDE features.
Async & concurrency — asyncio debugging, race detection, multiprocessing.
Performance & memory — profiling CPU/memory, GC, leak detection.
Testing & reproduction — fixtures, property-based tests, CI automation.
Known gaps — future research.
Research checklist — validation cadence.

Research status

Updated for Python 3.13 debugging improvements, async task diagnostics, and modern tooling.
Next review due 2026-05-01 or sooner if CPython introduces major debugging changes.
Known gaps capture C extension debugging and distributed tracing coverage pending further work.