wireless-protocols

تایید شده

Embedded wireless protocol implementation (LoRa, Zigbee, Thread, Matter)

@a5c-ai
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نصب مهارت

مهارت‌ها کدهای شخص ثالث از مخازن عمومی GitHub هستند. SkillHub الگوهای مخرب شناخته‌شده را اسکن می‌کند اما نمی‌تواند امنیت را تضمین کند. قبل از نصب، کد منبع را بررسی کنید.

نصب سراسری (سطح کاربر):

npx skillhub install a5c-ai/babysitter/wireless-protocols

نصب در پروژه فعلی:

npx skillhub install a5c-ai/babysitter/wireless-protocols --project

مسیر پیشنهادی: ~/.claude/skills/wireless-protocols/

محتوای SKILL.md

---
name: wireless-protocols
description: Embedded wireless protocol implementation (LoRa, Zigbee, Thread, Matter)
category: Communication Protocols
allowed-tools:
  - Bash
  - Read
  - Write
  - Edit
  - Glob
  - Grep
---

# 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

- `device-driver-development.js` - Wireless driver implementation
- `low-power-design.js` - Low-power wireless optimization
- `functional-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
```c
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
```c
otOperationalDataset dataset;
otDatasetCreateNewNetwork(instance, &dataset);
dataset.mChannel = 15;
dataset.mPanId = 0x1234;
otDatasetSetActive(instance, &dataset);
```

### Matter Device Type
```cpp
const EmberAfCluster clusters[] = {
    OnOff::Id,
    LevelControl::Id,
    Descriptor::Id,
    Identify::Id
};
```