SKILL.md
Concurrency
Layer 1: Language Mechanics
Core Question
Is this CPU-bound or I/O-bound, and what's the sharing model?
Before choosing concurrency primitives:
- What's the workload type?
- What data needs to be shared?
- What's the thread safety requirement?
Error → Design Question
Error
Don't Just Say
Ask Instead
E0277 Send
"Add Send bound"
Should this type cross threads?
E0277 Sync
"Wrap in Mutex"
Is shared access really needed?
Future not Send
"Use spawn_local"
Is async the right choice?
Deadlock
"Reorder locks"
Is the locking design correct?
Thinking Prompt
Before adding concurrency:
-
What's the workload?
- CPU-bound → threads (std::thread, rayon)
- I/O-bound → async (tokio, async-std)
- Mixed → hybrid approach
-
What's the sharing model?
- No sharing → message passing (channels)
- Immutable sharing → Arc
- Mutable sharing → Arc<Mutex> or Arc<RwLock>
-
What are the Send/Sync requirements?
- Cross-thread ownership → Send
- Cross-thread references → Sync
- Single-thread async → spawn_local
Trace Up ↑ (MANDATORY)
CRITICAL: Don't just fix the error. Trace UP to find domain constraints.
Domain Detection Table
Context Keywords
Load Domain Skill
Key Constraint
Web API, HTTP, axum, actix, handler
domain-web
Handlers run on any thread
交易, 支付, trading, payment
domain-fintech
Audit + thread safety
gRPC, kubernetes, microservice
domain-cloud-native
Distributed tracing
CLI, terminal, clap
domain-cli
Usually single-thread OK
Example: Web API + Rc Error
"Rc cannot be sent between threads" in Web API context
↑ DETECT: "Web API" → Load domain-web
↑ FIND: domain-web says "Shared state must be thread-safe"
↑ FIND: domain-web says "Rc in state" is Common Mistake
↓ DESIGN: Use Arc<T> with State extractor
↓ IMPL: axum::extract::State<Arc<AppConfig>>
Generic Trace
"Send not satisfied for my type"
↑ Ask: What domain is this? Load domain-* skill
↑ Ask: Does this type need to cross thread boundaries?
↑ Check: m09-domain (is the data model correct?)
Situation
Trace To
Question
Send/Sync in Web
domain-web
What's the state management pattern?
Send/Sync in CLI
domain-cli
Is multi-thread really needed?
Mutex vs channels
m09-domain
Shared state or message passing?
Async vs threads
m10-performance
What's the workload profile?
Trace Down ↓
From design to implementation:
"Need parallelism for CPU work"
↓ Use: std::thread or rayon
"Need concurrency for I/O"
↓ Use: async/await with tokio
"Need to share immutable data across threads"
↓ Use: Arc<T>
"Need to share mutable data across threads"
↓ Use: Arc<Mutex<T>> or Arc<RwLock<T>>
↓ Or: channels for message passing
"Need simple atomic operations"
↓ Use: AtomicBool, AtomicUsize, etc.
Send/Sync Markers
Marker
Meaning
Example
Send
Can transfer ownership between threads
Most types
Sync
Can share references between threads
Arc<T>
!Send
Must stay on one thread
Rc<T>
!Sync
No shared refs across threads
RefCell<T>
Quick Reference
Pattern
Thread-Safe
Blocking
Use When
std::thread
Yes
Yes
CPU-bound parallelism
async/await
Yes
No
I/O-bound concurrency
Mutex<T>
Yes
Yes
Shared mutable state
RwLock<T>
Yes
Yes
Read-heavy shared state
mpsc::channel
Yes
Optional
Message passing
Arc<Mutex<T>>
Yes
Yes
Shared mutable across threads
Decision Flowchart
What type of work?
├─ CPU-bound → std::thread or rayon
├─ I/O-bound → async/await
└─ Mixed → hybrid (spawn_blocking)
Need to share data?
├─ No → message passing (channels)
├─ Immutable → Arc<T>
└─ Mutable →
├─ Read-heavy → Arc<RwLock<T>>
└─ Write-heavy → Arc<Mutex<T>>
└─ Simple counter → AtomicUsize
Async context?
├─ Type is Send → tokio::spawn
├─ Type is !Send → spawn_local
└─ Blocking code → spawn_blocking
Common Errors
Error
Cause
Fix
E0277 Send not satisfied
Non-Send in async
Use Arc or spawn_local
E0277 Sync not satisfied
Non-Sync shared
Wrap with Mutex
Deadlock
Lock ordering
Consistent lock order
future is not Send
Non-Send across await
Drop before await
MutexGuard across await
Guard held during suspend
Scope guard properly
Anti-Patterns
Anti-Pattern
Why Bad
Better
Arc<Mutex> everywhere
Contention, complexity
Message passing
thread::sleep in async
Blocks executor
tokio::time::sleep
Holding locks across await
Blocks other tasks
Scope locks tightly
Ignoring deadlock risk
Hard to debug
Lock ordering, try_lock
Async-Specific Patterns
Avoid MutexGuard Across Await
// Bad: guard held across await
let guard = mutex.lock().await;
do_async().await; // guard still held!
// Good: scope the lock
{
let guard = mutex.lock().await;
// use guard
} // guard dropped
do_async().await;
Non-Send Types in Async
// Rc is !Send, can't cross await in spawned task
// Option 1: use Arc instead
// Option 2: use spawn_local (single-thread runtime)
// Option 3: ensure Rc is dropped before .await
Related Skills
When
See
Smart pointer choice
m02-resource
Interior mutability
m03-mutability
Performance tuning
m10-performance
Domain concurrency needs
domain-*