kernel-services
Advanced Zephyr RTOS kernel services. Covers inter-thread communication using Zbus (pub/sub), behavioral management with the State Machine Framework (SMF), background processing via work queues, and persistent configuration with the Settings subsystem. Trigger when building modular application architectures, complex state-driven logic, or requiring persistent data storage.
适合你,如果要在 Zephyr RTOS 上开发模块化或状态驱动的应用
npx oh-my-skill add beriberikix/zephyr-agent-skills/kernel-servicescurl -fsSL https://oh-my-skill.com/install.sh | bash -s -- beriberikix/zephyr-agent-skills/kernel-servicesnpx oh-my-skill verify beriberikix/zephyr-agent-skills/kernel-services怎么用
商店整理自技能原文 · 版本 ed63cdf · 表述以原文为准这个技能让Claude能够协助你使用Zephyr RTOS的Zbus(发布/订阅)、状态机框架(SMF)、工作队列和设置子系统,构建模块化、事件驱动的嵌入式应用。
当你需要开发模块化架构、复杂状态逻辑或持久化存储时,这个技能会自动激活并提供指导。
技能原文 SKILL.md
Zephyr Kernel Services
Move beyond basic threading and logging to build modular, event-driven, and robust Zephyr applications.
Core Workflows
1. Event-Driven Communication (Zbus)
Decouple your modules using a lightweight publish-and-subscribe bus.
- Reference: [zbus.md](references/zbus.md)
- Key Tools:
ZBUS_CHAN_DEFINE,ZBUS_SUBSCRIBER_DEFINE,zbus_chan_pub.
2. Behavioral Logic (SMF)
Manage complex system states and transitions using the State Machine Framework.
- Reference: [smf.md](references/smf.md)
- Key Tools:
smf_set_state,SMF_CREATE_STATE, Hierarchical states.
3. Background Processing (Work Queues)
Defer long-running or non-critical tasks to prevent blocking interrupts or high-priority threads.
- Reference: [settings_workqueue.md](references/settings_workqueue.md)
- Key Tools:
k_work_submit,k_work_delayable, Custom work queues.
4. Persistence (Settings)
Save and restore configuration data and state across reboots.
- Reference: [settings_workqueue.md](references/settings_workqueue.md#settings-subsystem)
- Key Tools:
settings_load,settings_save_one, NVS backends.
Quick Start (Zbus)
// Define a channel for sensor data ZBUS_CHAN_DEFINE(sensor_data_chan, struct sensor_msg, NULL, NULL, ZBUS_OBSERVERS_EMPTY, ZBUS_CHAN_DEFAULTS); // Publish from a thread zbus_chan_pub(&sensor_data_chan, &msg, K_NO_WAIT);
Professional Patterns (Asset Tracker Style)
- Modularity: Use Zbus as the backbone for inter-module communication.
- Predictability: Use SMF to define clear lifecycle states for each module (e.g., Uninitialized -> Ready -> Active -> Error).
- Responsiveness: Use custom work queues for sensor data ingestion to keep the main thread responsive for cloud communication.
- Sensor Integration: For sensor data ingestion patterns, see the [hardware-io](../hardware-io/SKILL.md) skill.
Automation Tools
- [zbus_channel_lint.py](scripts/zbus_channel_lint.py): Detect duplicate
ZBUS_CHAN_DEFINEnames across source files.
Examples & Templates
- [smf_state_table_template.c](assets/smf_state_table_template.c): Starter SMF state table and lifecycle wiring.
Validation Checklist
- [ ] Zbus publishers and subscribers exchange messages without deadlock or missed updates.
- [ ] SMF transitions follow expected state graph under normal and error conditions.
- [ ] Deferred work executes on intended queue context with bounded execution time.
- [ ] Settings values persist across reboot and reload successfully at startup.
Resources
- [References](references/):
zbus.md: Publish/Subscribe patterns and subscriber types.smf.md: Finite and Hierarchical state machine implementation.settings_workqueue.md: Background work and persistent storage.- [Scripts](scripts/):
zbus_channel_lint.py: Zbus channel name collision checker.- [Assets](assets/):
smf_state_table_template.c: State-machine template.