IOT
Deep-dive into AWS IoT architecture, device connectivity, edge computing, and fleet management. This skill should be used when the user asks to "design an IoT solution", "connect devices to AWS", "set up MQTT messaging", "configure IoT rules", "provision a device fleet", "use Greengrass at the edge", "build a device shadow", "set up IoT security", "manage OTA updates", "store telemetry data", "create IoT topic rules", "configure fleet provisioning", or mentions IoT Core, MQTT, Greengrass, Device Shadow, IoT Rules Engine, IoT Events, IoT SiteWise, fleet indexing, or device certificates.
Works with: Claude Code (native) · Cursor, Codex CLI (manual)
native: this artifact type is that client's own format
Install (Claude Code):
cp -r iot ~/.claude/skills/- Adoption: 1 repos
- Upkeep: 95.0
- Freshness: 90.0
- Evidence coverage: 84% of the inputs this score can use — the rest are unknown, and the score is discounted for it
- Health: active
- Contributors: 15
- License: Apache-2.0
Security audit
Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.
Its own instructions
Its SKILL.md says when to use it, shows worked examples, covers setup and states a limitation.
Read from the capability’s own SKILL.md. This is not a grade and does not compare to the instruction-depth verdict on an MCP server — a skill has no tools to document, so that rubric does not apply to it.
You searched for one. Check the rest of your stack:
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- Every score since we started measuring, for any capability
- The named replacement when something you run is dying — not just that it is
tashan doctorover the config you already have, on your machine
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source ↗ · skill:awslabs/iot
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Measured 2026-08-22 · scorer s5 · how · something wrong here?