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Code generator skills that produce production-ready Swift code for common app components. Use when user wants to add logging, analytics, onboarding, review prompts, networking, authentication, paywalls, settings, persistence, error monitoring, CI/CD pipelines, localization, push notifications, deep linking, testing, accessibility, widgets, feature flags, app icons, image caching, pagination, HTTP caching, share cards, social export, subscription lifecycle, referral systems, watermarks, streak tracking, milestone celebrations, what's new screens, lapsed user re-engagement, usage insights, variable rewards, consent flows, account deletion, permission priming, force updates, state restoration, debug menus, offline queues, feedback forms, announcement banners, quick win sessions, Spotlight indexing, App Clips, screenshot automation, background processing, app extensions, data export, or SwiftUI preview sample data and variant matrices.

Use this Skill: https://skilld.dev/gh/rshankras/claude-code-apple-skills/generators

This session only. Nothing lands on disk.

logging-setupSKILL.md

≈994 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Logging Setup Generator

Replace print() statements with Apple's structured logging system (os.log/Logger) for better debugging, privacy controls, and Console.app integration.

When This Skill Activates

Use this skill when the user:

  • Asks to "add logging" or "set up logging"
  • Wants to "replace print statements"
  • Mentions "os.log", "Logger", or "structured logging"
  • Asks about "debug logging" or "production logging"
  • Wants to audit print() usage in their codebase

Why Logger Over print()

print() Logger
Always executes Debug logs compiled out in Release
No filtering Filter by subsystem/category in Console.app
No privacy .private, .public, .sensitive annotations
String interpolation always runs Deferred evaluation (performance)
Not in Console.app Full system integration

Pre-Generation Checks

1. Project Context Detection

  • Check deployment target (Logger requires iOS 14+ / macOS 11+)
  • Search for existing Logger/os.log usage
  • Identify source file locations (Sources/, App/, etc.)

2. Conflict Detection

Search for existing logging:

Glob: **/*Logger*.swift
Grep: "import OSLog" or "os_log"

If found, ask user:

  • Extend existing logging?
  • Replace with new implementation?
  • Create separate logger?

Modes of Operation

Mode 1: Audit

Find all print() statements and report:

Grep: print\s*\(

Report format:

  • File:line - print statement
  • Severity: Info/Warning/Error (based on context)
  • Suggested Logger level

Mode 2: Generate

Create logging infrastructure from scratch.

Mode 3: Migrate

Convert existing print() to Logger with suggestions.

Configuration Questions

Ask user via AskUserQuestion:

  1. Categories needed?

    • Network, Auth, UI, Data (defaults)
    • Custom categories?
  2. Include migration helpers?

    • Extension on String for quick migration
    • Temporary print-to-log bridge

Generation Process

Step 1: Create AppLogger.swift

Read template from templates/AppLogger.swift and customize:

  • Set subsystem from Bundle.main.bundleIdentifier
  • Add user-specified categories
  • Include usage examples in comments

Step 2: Determine File Location

Check project structure:

  • If Sources/ exists → Sources/Logging/AppLogger.swift
  • If App/ exists → App/Logging/AppLogger.swift
  • Otherwise → Logging/AppLogger.swift

Step 3: Provide Migration Guidance

Show examples of converting common print patterns:

// Before
print("User logged in: \(email)")

// After
AppLogger.auth.info("User logged in: \(email, privacy: .private)")

Output Format

After generation, provide:

Files Created

  • [Path]/Logging/AppLogger.swift

Integration Steps

  1. Import in files: import OSLog (not needed if using AppLogger)
  2. Replace print() calls with AppLogger.[category].level
  3. Add privacy annotations for sensitive data

Privacy Annotations Guide

  • .public - Safe to log (IDs, counts, non-sensitive)
  • .private - Redacted in release (emails, names)
  • .sensitive - Always redacted (passwords, tokens)

Console.app Usage

  1. Open Console.app
  2. Filter by subsystem: com.yourapp
  3. Filter by category: Network, Auth, etc.

Testing Instructions

  1. Add a test log: AppLogger.general.debug("Test log")
  2. Run app, check Xcode console
  3. Open Console.app, filter by your app's subsystem

References

  • logger-patterns.md - Best practices and privacy levels
  • migration-guide.md - Converting print() to Logger
  • templates/AppLogger.swift - Template file

Source: SKILL.md on GitHub

1 alert16d5 checks · Risk SAFE
  • Gen Agent Trust Hub16d

    The 'generators' skill provides a robust set of templates and workflows for generating Swift code for iOS and macOS applications. Security analysis identified a surface for indirect prompt injection because the skill reads local project files to adapt its generation logic. It also utilizes dynamic execution by generating and running local Swift scripts to create application icons and uses shell commands to process images and audit project code. All external references are to well-known, established services.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: MEDIUM · 1 issue

  • Runlayer7mo

    59/179 files flagged

  • ZeroLeaks5mo

    Scan incomplete

Signed by skilld at 30e898f. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 months ago.

Steadyupdated 2 months ago
What it can do
Reads files Edits files Runs commands
last_verified
2026-07-16
review_by
2027-06-22
os_version
iOS 27 / macOS 27
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