Wireless Protocols Skill
SkillDev toolsEmbedded wireless protocol implementation (LoRa, Zigbee, Thread, Matter)
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Wireless Protocols Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/embedded-systems/skills/wireless-protocols/SKILL.md and read by ahel’s review.
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
device-driver-development.js- Wireless driver implementationlow-power-design.js- Low-power wireless optimizationfunctional-safety-certification.js- Wireless certification
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
};
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
wireless-protocols- Source
- github.com/a5c-ai/babysitter