Debugging Practices (Field-Proven, Multi-Domain)

Overview

This skill delivers precise, actionable debugging steps for failures in software, content, documentation, UI/UX, and workflow. It addresses real-world, high-impact bug categories surfaced in AI coding sessions: logic, configuration, environment, specification drift, data/resource limits, content/policy errors, standards (accessibility, style guide) breaches, and UI/UX defects. Steps are designed for thorough root cause isolation and durable, verifiable fixes—including for micro bugs and compliance issues often missed by code-only approaches.

1. Reproduce and Gather Evidence