Explorez les skills IA publiés de conorluddy et consultez leurs instructions source.
Skills indexés
10Étoiles des dépôts des skills indexés
1,245Forks du dépôt
96Moyenne des étoiles par skill indexé
125Les étoiles d’un dépôt peuvent se répéter entre ses skills.
21 production-ready scripts for iOS app testing, building, and automation. Provides semantic UI navigation, build automation, accessibility testing, and simulator lifecycle management. Optimized for AI agents w...
Instruments integration and performance analysis workflows for iOS apps. Use when profiling CPU usage, memory allocation, network activity, or energy consumption. Covers Time Profiler, Allocations, Leaks, Netwo...
iOS Simulator device and app management with simctl. Use when managing simulator devices (boot, create, delete), installing/launching apps, or troubleshooting simulator issues. Covers device lifecycle, app life...
XCTest and XCUITest execution workflows and flaky test detection patterns
Crash log analysis, symbolication, and debugging workflows for iOS apps. Use when investigating app crashes, analyzing crash reports, symbolicating stack traces, or identifying root causes. Covers crash log ret...
Cache management, configuration best practices, and progressive disclosure patterns for efficient context window usage. Use when working with large responses, optimizing token costs, or managing plugin state ac...
WCAG compliance testing and accessibility quality assurance workflows for iOS apps. Use when validating accessibility labels, testing VoiceOver compatibility, checking contrast ratios, or ensuring WCAG 2.1 comp...
Xcode build system guidance for xcodebuild operations. Use when building iOS projects, running tests, analyzing build failures, or configuring schemes. Covers build/clean/test operations, interpreting xcodebuil...
Accessibility-first UI automation using IDB. Query accessibility tree (fast, 50 tokens) before screenshots (slow, 170 tokens). Use when automating simulator interactions, tapping UI elements, finding buttons, o...
Lightweight Linear skill for fetching issue details. Returns only essential data (title, description, state, assignee) to optimize context usage compared to full Linear MCP.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.