debugging-instruments▌
dpearson2699/swift-ios-skills · updated Apr 8, 2026
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Diagnose crashes, memory leaks, retain cycles, main thread hangs, and performance bottlenecks in iOS apps using LLDB, Memory Graph Debugger, and Instruments. Covers breakpoint workflows, memory graph analysis, hang detection, build failure triage, and Instruments profiling for CPU, memory, energy, and network.
Debugging and Instruments
Diagnose crashes, memory leaks, retain cycles, main thread hangs, and performance bottlenecks in iOS apps using LLDB, Memory Graph Debugger, and Instruments. Covers breakpoint workflows, memory graph analysis, hang detection, build failure triage, and Instruments profiling for CPU, memory, energy, and network.
Contents
- LLDB Debugging
- Memory Debugging
- Hang Diagnostics
- Build Failure Triage
- Instruments Overview
- Common Mistakes
- Review Checklist
- References
LLDB Debugging
Essential Commands
(lldb) po myObject # Print object description (calls debugDescription)
(lldb) p myInt # Print with type info (uses LLDB formatter)
(lldb) v myLocal # Frame variable — fast, no code execution
(lldb) bt # Backtrace current thread
(lldb) bt all # Backtrace all threads
(lldb) frame select 3 # Jump to frame #3 in the backtrace
(lldb) thread list # List all threads and their states
(lldb) thread select 4 # Switch to thread #4
Use v over po when you only need a local variable value — it does not
execute code and cannot trigger side effects.
Breakpoint Management
(lldb) br set -f ViewModel.swift -l 42 # Break at file:line
(lldb) br set -n viewDidLoad # Break on function name
(lldb) br set -S setValue:forKey: # Break on ObjC selector
(lldb) br modify 1 -c "count > 10" # Add condition to breakpoint 1
(lldb) br modify 1 --auto-continue true # Log and continue (logpoint)
(lldb) br command add 1 # Attach commands to breakpoint
> po self.title
> continue
> DONE
(lldb) br disable 1 # Disable without deleting
(lldb) br delete 1 # Remove breakpoint
Expression Evaluation
(lldb) expr myArray.count # Evaluate Swift expression
(lldb) e -l swift -- import UIKit # Import framework in LLDB
(lldb) e -l swift -- self.view.backgroundColor = .red # Modify state at runtime
(lldb) e -l objc -- (void)[CATransaction flush] # Force UI update after changes
After modifying a view property in the debugger, call CATransaction.flush()
to see the change immediately without resuming execution.
Watchpoints
(lldb) w set v self.score # Break when score changes
(lldb) w set v self.score -w read # Break when score is read
(lldb) w modify 1 -c "self.score > 100" # Conditional watchpoint
(lldb) w list # Show active watchpoints
(lldb) w delete 1 # Remove watchpoint
Watchpoints are hardware-backed (limited to ~4 on ARM). Use them to find unexpected mutations — the debugger stops at the exact line that changes the value.
Symbolic Breakpoints
Set breakpoints on methods without knowing the file. Useful for framework or system code:
(lldb) br set -n "UIViewController.viewDidLoad"
(lldb) br set -r ".*networkError.*" # Regex on symbol name
(lldb) br set -n malloc_error_break # Catch malloc corruption
(lldb) br set -n UIViewAlertForUnsatisfiableConstraints # Auto Layout issues
In Xcode, use the Breakpoint Navigator (+) to add symbolic breakpoints for
common diagnostics like -[UIApplication main] or swift_willThrow.
Memory Debugging
Memory Graph Debugger Workflow
- Run the app in Debug configuration.
- Reproduce the suspected leak (navigate to a screen, then back).
- Tap the Memory Graph button in Xcode's debug bar.
- Look for purple warning icons — these indicate leaked objects.
- Select a leaked object to see its reference graph and backtrace.
Enable Malloc Stack Logging (Scheme > Diagnostics) before running so the Memory Graph shows allocation backtraces.
Common Retain Cycle Patterns
Closure capturing self strongly:
// LEAK — closure holds strong reference to self
class ProfileViewModel {
var onUpdate: (() -> Void)?
func startObserving() {
onUpdate = {
self.refresh() // strong capture of self
}
}
}
// FIXED — use [weak self]
func startObserving() {
onUpdate = { [weak self] in
self?.refresh()
}
}
Strong delegate reference:
// LEAK — strong delegate creates a cycle
protocol DataDelegate: AnyObject {
func didUpdate()
}
class DataManager {
var delegate: DataDelegate? // should be weak
}
// FIXED — weak delegate
class DataManager {
weak var delegate: DataDelegate?
}
Timer retaining target:
// LEAK — Timer.scheduledTimer retains its target
timer = Timer.scheduledTimer(
timeInterval: 1.0, target: self,
selector: #selector(tick), userInfo: nil, repeats: true
)
// FIXED — use closure-based API with [weak self]
timer = Timer.scheduledTimer(withTimeInterval: 1.0, repeats: true) { [weak self] _ in
self?.tick()
}
Instruments: Allocations and Leaks
- Allocations template: Track memory growth over time. Use the "Mark Generation" feature to isolate allocations created between user actions (e.g., open/close a screen).
- Leaks template: Automatically detects reference cycles at runtime. Run alongside Allocations for a complete picture.
- Filter by your app's module name to exclude system allocations.
Malloc Stack Logging
Enable in Scheme > Run > Diagnostics > Malloc Stack Logging (All
Allocations). This records the call stack for every allocation, letting
the Memory Graph Debugger and leaks CLI show where objects were created.
# CLI leak detection
leaks --atExit -- ./MyApp.app/MyApp
# Symbolicate with dSYMs for readable stacks
Hang Diagnostics
Identifying Main Thread Hangs
A hang occurs when the main thread is blocked for > 250ms (noticeable) or
1s (severe). Common detection tools:
- Thread Checker (Xcode Diagnostics): warns about non-main-thread UI calls
- os_signpost and
OSSignposter: mark intervals for Instruments - MetricKit hang diagnostics: production hang detection (see
metrickitskill forMXHangDiagnostic)
import os
let signposter = OSSignposter(subsystem: "com.example.app", category: "DataLoad")
func loadData() async {
let state = signposter.beginInterval("loadData")
let result = await fetchFromNetwork()
signposter.endInterval("loadData", state)
process(result)
}
Using the Time Profiler
- Product > Profile (Cmd+I) to launch Instruments.
- Select the Time Profiler template.
- Record while reproducing the slow interaction.
- Focus on the main thread — sort by "Weight" to find hot paths.
- Check "Hide System Libraries" to see only your code.
- Double-click a heavy frame to jump to source.
Common Hang Causes
| Cause | Symptom | Fix |
|---|---|---|
| Synchronous I/O on main thread | Network/file reads block UI | Move to Task { } or background actor |
| Lock contention | Main thread waiting on a lock held by background work | Use actors or reduce lock scope |
| Layout thrashing | Repeated layoutSubviews calls |
Batch layout changes, avoid forced layout |
| JSON parsing large payloads | UI freezes during data load | Parse on a background thread |
| Synchronous image decoding | Scroll jank on image-heavy lists | Use AsyncImage or decode off main thread |
Build Failure Triage
Reading Compiler Diagnostics
- Start from the first error — subsequent errors are often cascading.
- Search for the error code (e.g.,
error: cannot convert) in the build log. - Use Report Navigator (Cmd+9) for the full build log with timestamps.
SPM Dependency Resolution
# Common: version conflict
error: Dependencies could not be resolved because root depends on 'Package' 1.0.0..<2.0.0
# Fix: check Package.resolved and update version ranges
# Reset package caches if needed:
rm -rf ~/Library/Caches/org.swift.swiftpm
rm -rf .build
swift package resolve
Module Not Found / Linker Errors
| Error | Check |
|---|---|
No such module 'Foo' |
Target membership, import paths, framework search paths |
Undefined symbol |
Linking phase missing framework, wrong architecture |
duplicate symbol |
Two targets define same symbol; check for ObjC naming collisions |
Build settings to inspect first:
FRAMEWORK_SEARCH_PATHSOTHER_LDFLAGSSWIFT_INCLUDE_PATHSBUILD_LIBRARY_FOR_DISTRIBUTION(for XCFrameworks)
Instruments Overview
Template Selection Guide
| Template | Use When |
|---|---|
| Time Profiler | CPU is high, UI feels slow, need to find hot code paths |
| Allocations | Memory grows over time, need to track object lifetimes |
| Leaks | Suspect retain cycles or abandoned objects |
| Network | Inspecting HTTP request/response timing and payloads |
| SwiftUI | Profiling view body evaluations and update frequency |
| Core Animation | Frame drops, off-screen rendering, blending issues |
| Energy Log | Battery drain, background energy impact |
| File Activity | Excessive disk I/O, slow file operations |
| System Trace | Thread scheduling, syscalls, virtual memory faults |
xctrace CLI for CI Profiling
# Record a trace from the command line
xcrun xctrace record --device "My iPhone" \
--template "Time Profiler" \
--output profile.trace \
--launch MyApp.app
# Export trace data as XML for automated analysis
xcrun xctrace export --input profile.trace --xpath '/trace-toc/run/data/table'
# List available templates
xcrun xctrace list templates
# List connected devices
xcrun xctrace list devices
Use xctrace in CI pipelines to catch performance regressions
automatically. Compare exported metrics between builds.
Common Mistakes
DON'T: Use print() for debugging instead of os.Logger
print() output is not filterable, has no log levels, and is not
automatically stripped from release builds. It pollutes the console and
makes it impossible to isolate relevant output.
How to use debugging-instruments on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add debugging-instruments
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches debugging-instruments from GitHub repository dpearson2699/swift-ios-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate debugging-instruments. Access the skill through slash commands (e.g., /debugging-instruments) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★70 reviews- ★★★★★Alexander Ghosh· Dec 24, 2024
debugging-instruments fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Liam Singh· Dec 20, 2024
I recommend debugging-instruments for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Zara Anderson· Dec 16, 2024
Solid pick for teams standardizing on skills: debugging-instruments is focused, and the summary matches what you get after install.
- ★★★★★Ganesh Mohane· Dec 12, 2024
Keeps context tight: debugging-instruments is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ren Ndlovu· Dec 8, 2024
debugging-instruments has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Mei Agarwal· Nov 27, 2024
Keeps context tight: debugging-instruments is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Olivia Martin· Nov 15, 2024
Registry listing for debugging-instruments matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Fatima Malhotra· Nov 7, 2024
debugging-instruments is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Sakshi Patil· Nov 3, 2024
debugging-instruments has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Liam Srinivasan· Nov 3, 2024
Useful defaults in debugging-instruments — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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