Generates background processing infrastructure with BGTaskScheduler, background refresh, background downloads, and silent push handling. Use when user needs background tasks, periodic refresh, background URLSession downloads, or silent push notification processing.
npx skills add https://github.com/rshankras/claude-code-apple-skills --skill background-processing
Generate production background processing infrastructure -- BGTaskScheduler for periodic refresh and long-running tasks, background URLSession for downloads/uploads that survive app termination, and silent push handling for server-triggered updates.
Use this skill when the user:
Search for existing background task code:
Glob: **/*BackgroundTask*.swift, **/*BGTask*.swift, **/*BackgroundDownload*.swift
Grep: "BGTaskScheduler" or "BGAppRefreshTask" or "BGProcessingTask" or "backgroundSession"
If existing background code found:
Search for existing background modes configuration:
Grep: "BGTaskSchedulerPermittedIdentifiers" or "UIBackgroundModes"
Check for push notification entitlements if silent push is needed:
Glob: **/*.entitlements
Grep: "aps-environment"
Ask user via AskUserQuestion:
Read templates.md for production Swift code.
Generate these files:
BackgroundTaskManager.swift -- Central manager for registering and scheduling all background tasksBackgroundTaskConfiguration.swift -- Info.plist keys, entitlements, and task identifier constantsBased on configuration:
BackgroundDownloadManager.swift -- If background downloads selectedSilentPushHandler.swift -- If silent push selectedCheck project structure:
Sources/ exists -> Sources/BackgroundProcessing/App/ exists -> App/BackgroundProcessing/BackgroundProcessing/After generation, provide:
BackgroundProcessing/
├── BackgroundTaskManager.swift # BGTaskScheduler registration & scheduling
├── BackgroundTaskConfiguration.swift # Task identifiers and Info.plist config
├── BackgroundDownloadManager.swift # Background URLSession downloads (optional)
└── SilentPushHandler.swift # Silent push handling (optional)
Register tasks at app launch (must happen before app finishes launching):
@main
struct MyApp: App {
@UIApplicationDelegateAdaptor private var appDelegate: AppDelegate
var body: some Scene {
WindowGroup {
ContentView()
}
}
}
class AppDelegate: NSObject, UIApplicationDelegate {
func application(
_ application: UIApplication,
didFinishLaunchingWithOptions launchOptions: [UIApplication.LaunchOptionsKey: Any]?
) -> Bool {
BackgroundTaskManager.shared.registerTasks()
return true
}
}
Schedule refresh when app enters background:
struct ContentView: View {
@Environment(\.scenePhase) private var scenePhase
var body: some View {
NavigationStack {
FeedView()
}
.onChange(of: scenePhase) { _, newPhase in
if newPhase == .background {
BackgroundTaskManager.shared.scheduleAppRefresh()
}
}
}
}
Start a background download:
func downloadAsset(from url: URL) {
BackgroundDownloadManager.shared.startDownload(from: url)
}
Handle silent push in AppDelegate:
func application(
_ application: UIApplication,
didReceiveRemoteNotification userInfo: [AnyHashable: Any]
) async -> UIBackgroundFetchResult {
await SilentPushHandler.shared.handle(userInfo: userInfo)
}
Simulate background task in Xcode debugger (LLDB):
e -l objc -- (void)[[BGTaskScheduler sharedScheduler] _simulateLaunchForTaskWithIdentifier:@"com.app.refresh"]
Simulate expiration:
e -l objc -- (void)[[BGTaskScheduler sharedScheduler] _simulateExpirationForTaskWithIdentifier:@"com.app.refresh"]
Test background download:
#if DEBUG
func simulateBackgroundDownload() {
let testURL = URL(string: "https://example.com/test-asset.zip")!
BackgroundDownloadManager.shared.startDownload(from: testURL)
}
#endif
Add to Info.plist:
<key>BGTaskSchedulerPermittedIdentifiers</key>
<array>
<string>com.app.refresh</string>
<string>com.app.processing</string>
</array>
In Xcode: Target > Signing & Capabilities > Background Modes:
Always schedule the next refresh when the app goes to background. The system decides when to actually run it.
BackgroundTaskManager.shared.scheduleAppRefresh()
BGProcessingTask can run for minutes, but always handle the expirationHandler to save progress.
task.expirationHandler = {
// Save partial progress so next run can resume
processingJob.saveCheckpoint()
}
// Only process on Wi-Fi + power
let request = BGProcessingTaskRequest(identifier: taskID)
request.requiresNetworkConnectivity = true
request.requiresExternalPower = true
BGTaskScheduler.shared.register(forTaskWithIdentifier:) must be called during didFinishLaunchingWithOptions. If called later, the registration silently fails. Always register in AppDelegate, never in a View.
The system decides when to run background tasks based on battery, network, user patterns, and frequency. You cannot guarantee exact timing. earliestBeginDate is a hint, not a guarantee.
Background URLSession delivers delegate callbacks even if the app was terminated and relaunched. The session must be recreated with the same identifier, and application(_:handleEventsForBackgroundURLSession:completionHandler:) must be implemented.
Silent push notifications are rate-limited by APNs. If you send too many, the system throttles them. Use them for important content changes, not periodic polling.
BGAppRefreshTask gives you approximately 30 seconds of execution time. For longer work, use BGProcessingTask instead (which can run for several minutes when conditions are met).
Background tasks do not run naturally on the Simulator. Use the LLDB _simulateLaunchForTaskWithIdentifier: command to trigger them manually during development.
generators/push-notifications -- Full push notification infrastructuregenerators/offline-queue -- Queue operations for when back onlineAssess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Take rshankras/background-processing from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.