google-agents-cli-scaffold
Project scaffolding, deployment configuration, and CI/CD setup for Google ADK agents.
m07-concurrency
CRITICAL: Use for concurrency/async. Triggers: E0277 Send Sync, cannot be sent between threads, thread, spawn, channel, mpsc, Mutex, RwLock, Atomic, async, await, Future, tokio, deadlock, race condition, 并发, 线程, 异步, 死锁
Full skill instructions
Layer 1: Language Mechanics
Is this CPU-bound or I/O-bound, and what's the sharing model?
Before choosing concurrency primitives:
| 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? |
Before adding concurrency:
What's the workload?
What's the sharing model?
What are the Send/Sync requirements?
CRITICAL: Don't just fix the error. Trace UP to find domain constraints.
| 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 |
"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>>
"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? |
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.
| 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> |
| 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 |
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
| 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-Pattern | Why Bad | Better |
|---|---|---|
| Arc<Mutex<T>> 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 |
// 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;
// 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
| When | See |
|---|---|
| Smart pointer choice | m02-resource |
| Interior mutability | m03-mutability |
| Performance tuning | m10-performance |
| Domain concurrency needs | domain-* |
Project scaffolding, deployment configuration, and CI/CD setup for Google ADK agents.
Set up tracing, logging, and monitoring for deployed ADK agents across Cloud Trace, BigQuery, and third-party platforms.
Enterprise Azure infrastructure architect generating Bicep or Terraform from workload descriptions.
Plan and configure production-ready Azure Kubernetes Service clusters with Day-0 and Day-1 best practices.
Raw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.
Web search, scraping, extraction, crawling, and monitoring via ScrapeGraph AI CLI.
Skill for working with Firebase Hosting (Classic). Use this when you want to deploy static web apps, Single Page Apps (SPAs), or simple microservices. Do NOT use for Firebase App Hosting.
Deploy and manage web apps with Firebase App Hosting. Use this skill when deploying Next.js/Angular apps with backends.
Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".
Build SEO-optimized pages at scale using templates, data, and proven playbook patterns.
Design and build isolated, reusable Convex backend components with clear boundaries and app-facing wrappers.
Deploy and manage projects on Vercel using token-based authentication. Use when working with Vercel CLI using access tokens rather than interactive login — e.g. "deploy to vercel", "set up vercel", "add environment variables to vercel".
Opus.ai: Revolutionize Your Web Experience
Build a no-code AI app in minutes.
An IDE for code migration from legacy to modern frameworks through coding agents.
Automate CGI animation in live-action scenes
Branded artistic QR-code concepts
Launch a website in seconds with AI.
Streamline Your Coding Experience with AI Code Helper
Convert any screenshot or design to clean code.