m07-concurrency▌
actionbook/rust-skills · updated Apr 8, 2026
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Layer 1: Language Mechanics
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-* |
How to use m07-concurrency 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 m07-concurrency
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches m07-concurrency from GitHub repository actionbook/rust-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 m07-concurrency. Access the skill through slash commands (e.g., /m07-concurrency) 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
4.6★★★★★64 reviews- ★★★★★Mei Mehta· Dec 24, 2024
m07-concurrency is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Tariq Thompson· Dec 24, 2024
m07-concurrency fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Kabir Sanchez· Dec 16, 2024
Registry listing for m07-concurrency matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Li Rao· Dec 16, 2024
m07-concurrency has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Shikha Mishra· Dec 12, 2024
m07-concurrency reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Mei Sethi· Dec 12, 2024
We added m07-concurrency from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ganesh Mohane· Dec 8, 2024
Solid pick for teams standardizing on skills: m07-concurrency is focused, and the summary matches what you get after install.
- ★★★★★Aanya Torres· Dec 8, 2024
m07-concurrency fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yusuf Malhotra· Nov 27, 2024
m07-concurrency is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Sophia Ramirez· Nov 15, 2024
m07-concurrency fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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