Debug iOS/visionOS simulator issues with a hypothesis-driven four-phase workflow.
npx skills add https://github.com/shihwesley/shihwesleys-harness --skill sim-debug
Please help me install this Agent Skill. Skill: sim-debug Source: https://github.com/shihwesley/shihwesleys-harness/tree/main/commands/sim-debug Command: npx skills add https://github.com/shihwesley/shihwesleys-harness --skill sim-debug
This skill provides a structured, hypothesis-driven debugging workflow for iOS/visionOS simulators, enabling engineers to observe, hypothesize, test, and fix issues while preserving session state across runs.
Begin a new debugging session and follow the four-phase workflow to observe, hypothesize, test, and fix the simulator issue.
High-intent search queries and answers about installing and using this skill.
A hypothesis-driven iOS simulator debugging workflow systematically guides you through Observe, Hypothesize, Test, and Fix phases to identify and resolve UI or behavior anomalies using stateful tracking and scripted reproductions.
You can debug hard-to-reproduce iOS simulator bugs by scripting deterministic reproductions using integrated tooling like XcodeBuildMCP and AXe CLI, while persisting debugging state to track progress across repeated runs.
Yes, you can use LLDB workflows to debug visionOS simulator behavior anomalies, applying a structured debugging flow that includes UI snapshots and reference materials to guide resolution.
Yes, the simulator debugging workflow persists state to a cache file, allowing you to resume debugging sessions after interruptions by tracking your progress through the Observe, Hypothesize, Test, and Fix phases.
The best way to systematically test iOS simulator UI bugs is using a phase-driven workflow that integrates UI inspection tools like AXe CLI, enabling repeated runs and scripted reproductions for consistent resolution.
You need a structured debugging flow for iOS or visionOS simulators when encountering complex UI or behavior anomalies that require hypothesis-driven testing, stateful tracking, and multi-tool integration to resolve effectively.
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rsmdtGuide hypothesis-driven debugging with evidence-based root-cause analysis.
