Low-level synchronization primitives for when actors are too slow or heavyweight.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionaxiom-synchronizationExecute the skills CLI command in your project's root directory to begin installation:
Fetches axiom-synchronization from charleswiltgen/axiom and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate axiom-synchronization. Access via /axiom-synchronization in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
0
total installs
0
this week
767
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
767
stars
Low-level synchronization primitives for when actors are too slow or heavyweight.
| Need | Use | Reason |
|---|---|---|
| Microsecond operations | Mutex | No async hop overhead |
| Protect single property | Mutex | Simpler, faster |
| Complex async workflows | Actor | Proper suspension handling |
| Suspension points needed | Actor | Mutex can't suspend |
| Shared across modules | Mutex | Sendable, no await needed |
| High-frequency counters | Atomic | Lock-free performance |
import Synchronization
let mutex = Mutex<Int>(0)
// Read
let value = mutex.withLock { $0 }
// Write
mutex.withLock { $0 += 1 }
// Non-blocking attempt
if let value = mutex.withLockIfAvailable({ $0 }) {
// Got the lock
}
Properties:
Sendable — safe to share across concurrency boundariesimport os
let lock = OSAllocatedUnfairLock(initialState: 0)
// Closure-based (recommended)
lock.withLock { state in
state += 1
}
// Traditional (same-thread only)
lock.lock()
defer { lock.unlock() }
// access protected state
Properties:
Sendableimport Synchronization
let counter = Atomic<Int>(0)
// Atomic increment
counter.wrappingAdd(1, ordering: .relaxed)
// Compare-and-swap
let (exchanged, original) = counter.compareExchange(
expected: 0,
desired: 42,
ordering: .acquiringAndReleasing
)
final class Counter: Sendable {
private let mutex = Mutex<Int>(0)
var value: Int { mutex.withLock { $0 } }
func increment() { mutex.withLock { $0 += 1 } }
}
final class ThreadSafeValue<T: Sendable>: @unchecked Sendable {
private let mutex: Mutex<T>
init(_ value: T) { mutex = Mutex(value) }
var value: T {
get { mutex.withLock { $0 } }
set { mutex.withLock { $0 = newValue } }
}
}
actor ImageCache {
// Mutex for fast sync reads without actor hop
private let mutex = Mutex<[URL: Data]>([:])
nonisolated func cachedSync(_ url: URL) -> Data? {
mutex.withLock { $0[url] }
}
func cacheAsync(_ url: URL, data: Data) {
mutex.withLock { $0[url] = data }
}
}
final class FastCounter: Sendable {
private let _value = Atomic<Int>(0)
var value: Int { _value.load(ordering: .relaxed) }
func increment() {
_value.wrappingAdd(1, ordering: .relaxed)
}
}
#if compiler(>=6.0)
import Synchronization
typealias Lock<T> = Mutex<T>
#else
import os
// Use OSAllocatedUnfairLock for iOS 16-17
#endif
// ❌ DEADLOCK RISK
mutex.withLock {
await someAsyncWork() // Task suspends while holding lock!
}
// ✅ SAFE: Release before await
let value = mutex.withLock { $0 }
let result = await process(value)
mutex.withLock { $0 = result }
Swift's cooperative thread pool has limited threads. Blocking primitives exhaust the pool:
// ❌ DANGEROUS: Blocks cooperative thread
let semaphore = DispatchSemaphore(value: 0)
Task {
semaphore.wait() // Thread blocked, can't run other tasks!
}
// ✅ Use async continuation instead
await withCheckedContinuation { continuation in
// Non-blocking callback
callback { continuation.resume() }
}
Never use os_unfair_lock directly in Swift — it can be moved in memory:
// ❌ UNDEFINED BEHAVIOR: Lock may move
var lock = os_unfair_lock()
os_unfair_lock_lock(&lock) // Address may be invalid
// ✅ Use OSAllocatedUnfairLock (heap-allocated, stable address)
let lock = OSAllocatedUnfairLock()
Need synchronization?
├─ LockMake data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
axiom-synchronization reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for axiom-synchronization matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in axiom-synchronization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
axiom-synchronization has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend axiom-synchronization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: axiom-synchronization is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: axiom-synchronization is focused, and the summary matches what you get after install.
We added axiom-synchronization from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added axiom-synchronization from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
axiom-synchronization is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
showing 1-10 of 72