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Skills IA research debugging

Découvrez les skills research debugging, comparez leurs dépôts et consultez leurs instructions.

Catégories: research debugging

553–576 sur 6,118

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GitHub

analyze-performance

r3bl-org

Establish performance baselines and detect regressions using flamegraph analysis. Use when optimizing performance-critical code, investigating performance issues, or before creating commits with performance-sen...

GitHub

codecov-coverage

linkml

Fetch and analyze code coverage from Codecov API for the linkml project. Use when checking coverage before making a PR, analyzing coverage changes, or finding low-coverage files.

GitHub

axiom-metal-migration-diag

CharlesWiltgen

Use when ANY Metal porting issue occurs - black screen, rendering artifacts, shader errors, wrong colors, performance regressions, GPU crashes

GitHub

axiom-energy

CharlesWiltgen

Use when app drains battery, device gets hot, users report energy issues, or auditing power consumption - systematic Power Profiler diagnosis, subsystem identification (CPU/GPU/Network/Location/Display), anti-p...

GitHub

axiom-ios-performance

CharlesWiltgen

Use when app feels slow, memory grows, battery drains, or diagnosing ANY performance issue. Covers memory leaks, profiling, Instruments workflows, retain cycles, performance optimization.

GitHub

axiom-testflight-triage

CharlesWiltgen

Use when ANY beta tester reports a crash, ANY crash appears in Organizer or App Store Connect, crash logs need symbolication, app was killed without crash report, or you need to triage TestFlight feedback

GitHub

axiom-swiftui-debugging-diag

CharlesWiltgen

Use when SwiftUI view debugging requires systematic investigation - view updates not working after basic troubleshooting, intermittent UI issues, complex state dependencies, or when Self._printChanges() shows u...

GitHub

axiom-accessibility-diag

CharlesWiltgen

Use when fixing VoiceOver issues, Dynamic Type violations, color contrast failures, touch target problems, keyboard navigation gaps, or Reduce Motion support - comprehensive accessibility diagnostics with WCAG...

GitHub

axiom-energy-diag

CharlesWiltgen

Symptom-based energy troubleshooting - decision trees for 'app at top of battery settings', 'phone gets hot', 'background drain', 'high cellular usage', with time-cost analysis for each diagnosis path

GitHub

axiom-xctrace-ref

CharlesWiltgen

Use when automating Instruments profiling, running headless performance analysis, or integrating profiling into CI/CD - comprehensive xctrace CLI reference with record/export patterns

GitHub

axiom-energy-ref

CharlesWiltgen

Complete energy optimization API reference - Power Profiler workflows, timer/network/location/background APIs, iOS 26 BGContinuedProcessingTask, MetricKit monitoring, with all WWDC code examples

GitHub

axiom-performance-profiling

CharlesWiltgen

Use when app feels slow, memory grows over time, battery drains fast, or you want to profile proactively - decision trees to choose the right Instruments tool, deep workflows for Time Profiler/Allocations/Core...

GitHub

axiom-networking-diag

CharlesWiltgen

Use when debugging connection timeouts, TLS handshake failures, data not arriving, connection drops, performance issues, or proxy/VPN interference - systematic Network.framework diagnostics with production cris...

GitHub

axiom-objc-block-retain-cycles

CharlesWiltgen

Use when debugging memory leaks from blocks, blocks assigned to self or properties, network callbacks, or crashes from deallocated objects - systematic weak-strong pattern diagnosis with mandatory diagnostic ru...

GitHub

axiom-build-debugging

CharlesWiltgen

Use when encountering dependency conflicts, CocoaPods/SPM resolution failures, "Multiple commands produce" errors, or framework version mismatches - systematic dependency and build configuration debugging for i...

GitHub

axiom-foundation-models-diag

CharlesWiltgen

Use when debugging Foundation Models issues — context exceeded, guardrail violations, slow generation, availability problems, unsupported language, or unexpected output. Systematic diagnostics with production c...

GitHub

axiom-storage-diag

CharlesWiltgen

Use when debugging 'files disappeared', 'data missing after restart', 'backup too large', 'can't save file', 'file not found', 'storage full error', 'file inaccessible when locked' - systematic local file stora...

GitHub

axiom-metrickit-ref

CharlesWiltgen

MetricKit API reference for field diagnostics - MXMetricPayload, MXDiagnosticPayload, MXCallStackTree parsing, crash and hang collection

GitHub

axiom-swiftui-performance

CharlesWiltgen

Use when UI is slow, scrolling lags, animations stutter, or when asking 'why is my SwiftUI view slow', 'how do I optimize List performance', 'my app drops frames', 'view body is called too often', 'List is lagg...

GitHub

axiom-liquid-glass

CharlesWiltgen

Use when implementing Liquid Glass effects, reviewing UI for Liquid Glass adoption, debugging visual artifacts, optimizing performance, or requesting expert review of Liquid Glass implementation - provides comp...

GitHub

axiom-swiftui-debugging

CharlesWiltgen

Use when debugging SwiftUI view updates, preview crashes, or layout issues - diagnostic decision trees to identify root causes quickly and avoid misdiagnosis under pressure

GitHub

axiom-memory-debugging

CharlesWiltgen

Use when you see memory warnings, 'retain cycle', app crashes from memory pressure, or when asking 'why is my app using so much memory', 'how do I find memory leaks', 'my deinit is never called', 'Instruments s...

GitHub

axiom-concurrency-profiling

CharlesWiltgen

Use when profiling async/await performance, diagnosing actor contention, or investigating thread pool exhaustion. Covers Swift Concurrency Instruments template, task visualization, actor contention analysis, th...

GitHub

axiom-build-performance

CharlesWiltgen

Use when build times are slow, investigating build performance, analyzing Build Timeline, identifying type checking bottlenecks, enabling compilation caching, or optimizing incremental builds - comprehensive bu...

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.

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