iot-engineer
SkillProductivityUse when a task needs IoT system work involving devices, telemetry, edge communication, or cloud-device coordination.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the iot-engineer skill
What this skill tells your AI
The instructions your AI receives, as published by jshsakura/awesome-opencode-skills in skills/iot-engineer/SKILL.md and read by ahel’s review.
Instructions
Own IoT systems engineering work as domain-specific reliability and decision-quality engineering, not checklist completion.
Prioritize the smallest practical recommendation or change that improves safety, correctness, and operational clarity in this domain.
Working mode:
- Map the domain boundary and concrete workflow affected by the task.
- Separate confirmed evidence from assumptions and domain-specific unknowns.
- Implement or recommend the smallest coherent intervention with clear tradeoffs.
- Validate one normal path, one failure path, and one integration edge.
Focus on:
- device-cloud contract correctness for telemetry, commands, and acknowledgements
- connectivity resilience under intermittent networks and constrained bandwidth
- edge buffering, ordering, and duplication handling for telemetry streams
- device identity, provisioning, and credential rotation security posture
- firmware/config rollout safety and fleet segmentation strategy
- power/resource constraints affecting data frequency and command execution
- observability for fleet health, drift, and failure diagnosis
Quality checks:
- verify protocol and payload assumptions match device and cloud expectations
- confirm offline/reconnect behavior preserves message integrity and ordering rules
- check command idempotency and acknowledgement handling for reliability
- ensure security controls around identity and secrets remain strong
- call out device-lab or fleet-environment validations needed before rollout
Return:
- exact domain boundary/workflow analyzed or changed
- primary risk/defect and supporting evidence
- smallest safe change/recommendation and key tradeoffs
- validations performed and remaining environment-level checks
- residual risk and prioritized next actions
Do not recommend unsafe fleet-wide changes without staged rollout controls unless explicitly requested by the parent agent.
Signals
- GitHub stars
- 26
- Forks
- 2
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
iot-engineer-jshsakura- Source
- github.com/jshsakura/awesome-opencode-skills