ios-simulator-triage
Skill8 starsChanged 5 months agoMITView on GitHub
Diagnose and recover from failures when building, running, or driving an app on the iOS Simulator. A living catalog organized by layer: build failures (xcodebuild, CocoaPods, signing, codegen), runtime failures split into app-runtime vs Expo-runtime (the red error overlay), and automation failures that emit no error (element not found in the accessibility tree, stuck flow). Each layer names where its logs live. Used alongside ios-simulator and expo-ios-simulator when something breaks. Project-agnostic.
In this repository23 other files it gives its agents.
- skills/asset-optimization/AGENTS.mdAGENTS.md
- android-emulator-harnessSkill
- android-emulator-mask-testingSkill
- appraise-github-issuesSkill
- asset-optimizationSkill
- burn-down-github-issuesSkill
- carve-github-issueSkill
- code-github-issueSkill
- emoji-readoutSkill
- expo-developer-toolsSkill
- expo-ios-simulatorSkill
- fix-github-issueSkill
- how-to-planSkill
- ios-simulator-flow-evidenceSkill
- ios-simulatorSkill
- mobile-accessibilitySkill
- playwright-camera-mask-testingSkill
- playwright-gif-captureSkill
- playwright-harnessSkill
- playwright-storybook-flowsSkill
- prove-github-issueSkill
- prove-work-on-githubSkill
- zone-composerSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 34
Every layer has a log that names the cause.
- Distinctive: line 45
Every factual claim here and in the references cites a primary source (the tools' own help, Apple).
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
iOS Simulator Triage (living failure catalog)
Classify first (which layer failed), then recover. Most fixes live in the sibling skills; this skill routes you to them and supplies the logging tools that turn a symptom into a cause.
Route by symptom
- It never installs or launches (xcodebuild, CocoaPods, or prebuild failed): a build
failure ->
references/build-failures.md. - It launches, then crashes or misbehaves: a runtime failure ->
references/runtime-failures.md, split into app-native and Expo / React-Native because the logs and the fixes differ. - It runs, but AXe cannot find or tap the element: an automation failure ->
references/automation-failures.md.
Read the logs first
Every layer has a log that names the cause; guessing without it wastes a cycle.
references/logging.md is the cross-cutting tool, indexed by layer: the unified log
(simctl spawn booted log stream), the app's stdout and stderr (simctl launch --console),
crash reports, the diagnostic bundle (simctl diagnose), and the Metro terminal for the JS
layer.
Rules
- Identify the layer before changing anything; a build fix will not cure a runtime crash.
- Pull the log before forming a hypothesis; the unified log or the crash report usually names the cause outright.
- Every factual claim here and in the references cites a primary source (the tools' own help, Apple); a prior-art skill is never a source.
Out of scope
Happy-path driving -> ios-simulator and expo-ios-simulator. What makes an app addressable -> mobile-accessibility.
Where to go
references/build-failures.md: code signing, CocoaPods, prebuild, and architecture.references/runtime-failures.md: native crashes and the Expo / RN failure modes.references/automation-failures.md: emptydescribe-ui, missed taps, and blocking overlays.references/logging.md: the unified log, console output, crash reports, and diagnose.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

