Design patterns and constraints for building reliable, power-efficient IoT applications in Rust.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add zhanghandong/rust-skills --skill domain-iotCompatible with
Supported agents
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:
epx add zhanghandong/rust-skills --skill domain-iotFetches 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:
.cursor/skills/domain-iot
Restart Cursor to activate domain-iot. Access via /domain-iotin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
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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