Babysitter wireless-protocols
Embedded wireless protocol implementation (LoRa, Zigbee, Thread, Matter)
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/embedded-systems/skills/wireless-protocols" ~/.claude/skills/a5c-ai-babysitter-wireless-protocols && rm -rf "$T"
manifest:
library/specializations/embedded-systems/skills/wireless-protocols/SKILL.mdsource content
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
- Protocol compliance testing
- Interoperability testing
- Documentation preparation
Target Processes
- Wireless driver implementationdevice-driver-development.js
- Low-power wireless optimizationlow-power-design.js
- Wireless certificationfunctional-safety-certification.js
Dependencies
- LoRaWAN stack (LoRaMac-node, LMIC)
- Zigbee SDK (Silicon Labs, NXP)
- OpenThread
- Matter SDK (connectedhomeip)
Usage Context
This skill is invoked when tasks require:
- LoRaWAN device implementation
- Zigbee network development
- Thread/Matter device creation
- Wireless protocol optimization
- RF certification preparation
Protocol Comparison
| Protocol | Range | Data Rate | Power | Mesh |
|---|---|---|---|---|
| LoRaWAN | 15km | 0.3-50 kbps | Low | No |
| Zigbee | 100m | 250 kbps | Low | Yes |
| Thread | 100m | 250 kbps | Low | Yes |
| Matter | 100m | Varies | Low | Via Thread |
Configuration Examples
LoRaWAN OTAA
static uint8_t DevEui[] = { 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 }; static uint8_t AppEui[] = { 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 }; static uint8_t AppKey[] = { 0x00, ..., 0x00 }; // 16 bytes MibRequestConfirm_t mibReq; mibReq.Type = MIB_DEV_EUI; mibReq.Param.DevEui = DevEui; LoRaMacMibSetRequestConfirm(&mibReq);
Thread Network Configuration
otOperationalDataset dataset; otDatasetCreateNewNetwork(instance, &dataset); dataset.mChannel = 15; dataset.mPanId = 0x1234; otDatasetSetActive(instance, &dataset);
Matter Device Type
const EmberAfCluster clusters[] = { OnOff::Id, LevelControl::Id, Descriptor::Id, Identify::Id };