wireless-protocols
Embedded wireless protocol implementation (LoRa, Zigbee, Thread, Matter)
Profile →npx skills add a5c-ai/babysitter --skill wireless-protocols --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Wireless Protocols Skill ## Overview This skill provides wireless protocol implementation expertise for embedded IoT devices, covering LoRa/LoRaWAN, Zigbee, Thread, and Matter protocols. ## Capabilities ### LoRa/LoRaWAN - LoRaWAN stack configuration - Class A/B/C device implementation - OTAA and ABP activation - ADR (Adaptive Data Rate) configuration - Channel plan configuration - Downlink handling - MAC command processing ### Zigbee - Coordinator/router/end device setup - Zigbee Cluster Library (ZCL) - Network formation and joining - Binding and reporting configuration - OTA upgrade support - Green Power device support ### Thread - OpenThread configuration - Network dataset management - Commissioner and joiner roles - Border router setup - SRP (Service Registration Protocol) - DNS-SD integration ### Matter - Matter device implementation - Device type configuration - Cluster implementation - Commissioning flow - Multi-admin support - OTA provider/requestor ### RF Configuration - Antenna matching analysis - TX power configuration - Frequency selection - Channel hopping setup - Interference mitigation - RSSI/LQI monitoring ### Certification Preparation - RF testing requirements - P
- Overview
- Capabilities
- LoRa/LoRaWAN
- Zigbee
- Thread
- Matter
- RF Configuration
- Certification Preparation
- Target Processes
- Dependencies
- Usage Context
- Protocol Comparison
- Configuration Examples
- LoRaWAN OTAA
What does the wireless-protocols skill do?
Embedded wireless protocol implementation (LoRa, Zigbee, Thread, Matter)
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill wireless-protocols --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.