Design patterns and constraints for building reliable, power-efficient IoT applications in Rust.
Works with
Covers six critical domains: network unreliability, power constraints, resource limits, security, reliability, and over-the-air updates with specific Rust implementation strategies
Provides MQTT client patterns using rumqttc for pub/sub messaging with QoS levels, local buffering, and retry logic with exponential backoff
Distinguishes between Linux gateway stacks (tokio + std) and MCU devi
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondomain-iotExecute the skills CLI command in your project's root directory to begin installation:
Fetches domain-iot from zhanghandong/rust-skills 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 domain-iot. Access via /domain-iot 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.
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Automate repetitive workflows and reduce manual effort
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Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Layer 3: Domain Constraints
| Domain Rule | Design Constraint | Rust Implication |
|---|---|---|
| Unreliable network | Offline-first | Local buffering |
| Power constraints | Efficient code | Sleep modes, minimal alloc |
| Resource limits | Small footprint | no_std where needed |
| Security | Encrypted comms | TLS, signed firmware |
| Reliability | Self-recovery | Watchdog, error handling |
| OTA updates | Safe upgrades | Rollback capability |
RULE: Network can fail at any time
WHY: Wireless, remote locations
RUST: Local queue, retry with backoff
RULE: Minimize power consumption
WHY: Battery life, energy costs
RUST: Sleep modes, efficient algorithms
RULE: All communication encrypted
WHY: Physical access possible
RUST: TLS, signed messages
From constraints to design (Layer 2):
"Need offline-first design"
↓ m12-lifecycle: Local buffer with persistence
↓ m13-domain-error: Retry with backoff
"Need power efficiency"
↓ domain-embedded: no_std patterns
↓ m10-performance: Minimal allocations
"Need reliable messaging"
↓ m07-concurrency: Async with timeout
↓ MQTT: QoS levels
| Environment | Stack | Crates |
|---|---|---|
| Linux gateway | tokio + std | rumqttc, reqwest |
| MCU device | embassy + no_std | embedded-hal |
| Hybrid | Split workloads | Both |
| Purpose | Crate |
|---|---|
| MQTT (std) | rumqttc, paho-mqtt |
| Embedded | embedded-hal, embassy |
| Async (std) | tokio |
| Async (no_std) | embassy |
| Logging (no_std) | defmt |
| Logging (std) | tracing |
| Pattern | Purpose | Implementation |
|---|---|---|
| Pub/Sub | Device comms | MQTT topics |
| Edge compute | Local processing | Filter before upload |
| OTA updates | Firmware upgrade | Signed + rollback |
| Power mgmt | Battery life | Sleep + wake events |
| Store & forward | Network reliability | Local queue |
use rumqttc::{AsyncClient, MqttOptions, QoS};
async fn run_mqtt() -> anyhow::Result<()> {
let mut options = MqttOptions::new("device-1", "broker.example.com", 1883);
options.set_keep_alive(Duration::from_secs(30));
let (client, mut eventloop) = AsyncClient::new(options, 10);
// Subscribe to commands
client.subscribe("devices/device-1/commands", QoS::AtLeastOnce).await?;
// Publish telemetry
tokio::spawn(async move {
loop {
let data = read_sensor().await;
client.publish("devices/device-1/telemetry", QoS::AtLeastOnce, false, data).await.ok();
tokio::time::sleep(Duration::from_secs(60)).await;
}
});
// Process events
loop {
match eventloop.poll().await {
Ok(event) => handle_event(event).await,
Err(e) => {
tracing::error!("MQTT error: {}", e);
tokio::time::sleep(Duration::from_secs(5)).await;
}
}
}
}
| Mistake | Domain Violation | Fix |
|---|---|---|
| No retry logic | Lost data | Exponential backoff |
| Always-on radio | Battery drain | Sleep between sends |
| Unencrypted MQTT | Security risk | TLS |
| No local buffer | Network outage = data loss | Persist locally |
| Constraint | Layer 2 Pattern | Layer 1 Implementation |
|---|---|---|
| Offline-first | Store & forward | Local queue + flush |
| Power efficiency | Sleep patterns | Timer-based wake |
| Network reliability | Retry | tokio-retry, backoff |
| Security | TLS | rustls, native-tls |
| When | See |
|---|---|
| Embedded patterns | domain-embedded |
| Async patterns | m07-concurrency |
| Error recovery | m13-domain-error |
| Performance | m10-performance |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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domain-iot reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend domain-iot for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in domain-iot — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for domain-iot matched our evaluation — installs cleanly and behaves as described in the markdown.
domain-iot has been reliable in day-to-day use. Documentation quality is above average for community skills.
domain-iot is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
domain-iot reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for domain-iot matched our evaluation — installs cleanly and behaves as described in the markdown.
domain-iot reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: domain-iot is focused, and the summary matches what you get after install.
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