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axiom-concurrency-profiling

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

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
657
Hot score
99
Updated
March 20, 2026
Overall rating
C4.5
Composite score
4.5
Best-practice grade
A88.4

Install command

npx @skill-hub/cli install charleswiltgen-axiom-axiom-concurrency-profiling

Repository

CharlesWiltgen/Axiom

Skill path: .claude-plugin/plugins/axiom/skills/axiom-concurrency-profiling

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

Open repository

Best for

Primary workflow: Build Mobile.

Technical facets: Full Stack, Mobile.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: CharlesWiltgen.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install axiom-concurrency-profiling into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/CharlesWiltgen/Axiom before adding axiom-concurrency-profiling to shared team environments
  • Use axiom-concurrency-profiling for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

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Sub-skills: 0.

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Original source / Raw SKILL.md

---
name: axiom-concurrency-profiling
description: Use when profiling async/await performance, diagnosing actor contention, or investigating thread pool exhaustion. Covers Swift Concurrency Instruments template, task visualization, actor contention analysis, thread pool debugging.
user-invocable: true
skill_type: discipline
version: 1.0.0
---

# Concurrency Profiling — Instruments Workflows

Profile and optimize Swift async/await code using Instruments.

## When to Use

✅ **Use when:**
- UI stutters during async operations
- Suspecting actor contention
- Tasks queued but not executing
- Main thread blocked during async work
- Need to visualize task execution flow

❌ **Don't use when:**
- Issue is pure CPU performance (use Time Profiler)
- Memory issues unrelated to concurrency (use Allocations)
- Haven't confirmed concurrency is the bottleneck

## Swift Concurrency Template

### What It Shows

| Track | Information |
|-------|-------------|
| **Swift Tasks** | Task lifetimes, parent-child relationships |
| **Swift Actors** | Actor access, contention visualization |
| **Thread States** | Blocked vs running vs suspended |

### Statistics

- **Running Tasks**: Tasks currently executing
- **Alive Tasks**: Tasks present at a point in time
- **Total Tasks**: Cumulative count created

### Color Coding

- **Blue**: Task executing
- **Red**: Task waiting (contention)
- **Gray**: Task suspended (awaiting)

## Workflow 1: Diagnose Main Thread Blocking

**Symptom**: UI freezes, main thread timeline full

1. Profile with Swift Concurrency template
2. Look at main thread → "Swift Tasks" lane
3. Find long blue bars (task executing on main)
4. Check if work could be offloaded

**Solution patterns**:

```swift
// ❌ Heavy work on MainActor
@MainActor
class ViewModel: ObservableObject {
    func process() {
        let result = heavyComputation()  // Blocks UI
        self.data = result
    }
}

// ✅ Offload heavy work
@MainActor
class ViewModel: ObservableObject {
    func process() async {
        let result = await Task.detached {
            heavyComputation()
        }.value
        self.data = result
    }
}
```

## Workflow 2: Find Actor Contention

**Symptom**: Tasks serializing unexpectedly, parallel work running sequentially

1. Enable "Swift Actors" instrument
2. Look for serialized access patterns
3. Red = waiting, Blue = executing
4. High red:blue ratio = contention problem

**Solution patterns**:

```swift
// ❌ All work serialized through actor
actor DataProcessor {
    func process(_ data: Data) -> Result {
        heavyProcessing(data)  // All callers wait
    }
}

// ✅ Mark heavy work as nonisolated
actor DataProcessor {
    nonisolated func process(_ data: Data) -> Result {
        heavyProcessing(data)  // Runs in parallel
    }

    func storeResult(_ result: Result) {
        // Only actor state access serialized
    }
}
```

**More fixes**:
- Split actor into multiple (domain separation)
- Use Mutex for hot paths (faster than actor hop)
- Reduce actor scope (fewer isolated properties)

## Workflow 3: Thread Pool Exhaustion

**Symptom**: Tasks queued but not executing, gaps in task execution

**Cause**: Blocking calls exhaust cooperative pool

1. Look for gaps in task execution across all threads
2. Check for blocking primitives
3. Replace with async equivalents

**Common culprits**:

```swift
// ❌ Blocks cooperative thread
Task {
    semaphore.wait()  // NEVER do this
    // ...
    semaphore.signal()
}

// ❌ Synchronous file I/O in async context
Task {
    let data = Data(contentsOf: fileURL)  // Blocks
}

// ✅ Use async APIs
Task {
    let (data, _) = try await URLSession.shared.data(from: fileURL)
}
```

**Debug flag**:
```
SWIFT_CONCURRENCY_COOPERATIVE_THREAD_BOUNDS=1
```
Detects unsafe blocking in async context.

## Workflow 4: Priority Inversion

**Symptom**: High-priority task waits for low-priority

1. Inspect task priorities in Instruments
2. Follow wait chains
3. Ensure critical paths use appropriate priority

```swift
// ✅ Explicit priority for critical work
Task(priority: .userInitiated) {
    await criticalUIUpdate()
}
```

## Thread Pool Model

Swift uses a **cooperative thread pool** matching CPU core count:

| Aspect | GCD | Swift Concurrency |
|--------|-----|-------------------|
| Threads | Grows unbounded | Fixed to core count |
| Blocking | Creates new threads | Suspends, frees thread |
| Dependencies | Hidden | Runtime-tracked |
| Context switch | Full kernel switch | Lightweight continuation |

**Why blocking is catastrophic**:
- Each blocked thread holds memory + kernel structures
- Limited threads means blocked = no progress
- Pool exhaustion deadlocks the app

## Quick Checks (Before Profiling)

Run these checks first:

1. **Is work actually async?**
   - Look for suspension points (`await`)
   - Sync code in async function still blocks

2. **Holding locks across await?**
   ```swift
   // ❌ Deadlock risk
   mutex.withLock {
       await something()  // Never!
   }
   ```

3. **Tasks in tight loops?**
   ```swift
   // ❌ Overhead may exceed benefit
   for item in items {
       Task { process(item) }
   }

   // ✅ Structured concurrency
   await withTaskGroup(of: Void.self) { group in
       for item in items {
           group.addTask { process(item) }
       }
   }
   ```

4. **DispatchSemaphore in async context?**
   - Always unsafe — use `withCheckedContinuation` instead

## Common Issues Summary

| Issue | Symptom in Instruments | Fix |
|-------|------------------------|-----|
| MainActor overload | Long blue bars on main | `Task.detached`, `nonisolated` |
| Actor contention | High red:blue ratio | Split actors, use `nonisolated` |
| Thread exhaustion | Gaps in all threads | Remove blocking calls |
| Priority inversion | High-pri waits for low-pri | Check task priorities |
| Too many tasks | Task creation overhead | Use task groups |

## Safe vs Unsafe Primitives

**Safe with cooperative pool**:
- `await`, actors, task groups
- `os_unfair_lock`, `NSLock` (short critical sections)
- `Mutex` (iOS 18+)

**Unsafe (violate forward progress)**:
- `DispatchSemaphore.wait()`
- `pthread_cond_wait`
- Sync file/network I/O
- `Thread.sleep()` in Task

## Resources

**WWDC**: 2022-110350, 2021-10254

**Docs**: /xcode/improving-app-responsiveness

**Skills**: axiom-swift-concurrency, axiom-performance-profiling, axiom-synchronization