linux-kernel-pro

Assist Linux kernel development for device drivers, modules, and subsystems.

1|Updated Nov 3, 2025

Search Tags:#linux #kernel #module #driver #device-tree #dma #irq

Ready to run

npx skills add https://github.com/UtsavBalar1231/claude-code-configs --skill linux-kernel-pro

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: linux-kernel-pro
Source: https://github.com/UtsavBalar1231/claude-code-configs/tree/main/skills/linux-kernel-pro
Command: npx skills add https://github.com/UtsavBalar1231/claude-code-configs --skill linux-kernel-pro

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides expert guidance for Linux kernel development, including device drivers, memory management, DMA, and kernel debugging, all aligned with current kernel coding standards.

Core Features & Use Cases

Device driver patterns: Platform, I2C, SPI, USB driver templates.
Kernel subsystems: Core architecture and module patterns.
Memory & DMA: Safe management and high-performance data paths.
Debugging & performance: Tracing, logging, and optimization tips.

Quick Start

Describe a kernel module you want to implement and get a kernel-safe plan.

Frequently Asked Questions about linux-kernel-pro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I write a Linux kernel device driver for I2C or SPI?▼

Device drivers for I2C and SPI use platform driver patterns with probe/remove callbacks, devm_* resource management for automatic cleanup, and device-tree integration for hardware configuration. Register your driver with i2c_driver or spi_driver structures and handle interrupt setup and DMA operations following kernel coding standards.

What's the correct way to handle memory and DMA in kernel modules?▼

Use devm_* allocation functions to ensure proper resource cleanup, validate all inputs rigorously, and follow strict return-value checking. For DMA operations, use appropriate APIs for memory mapping and cache coherency, avoid sleeping in atomic context, and structure error handling with goto-based cleanup paths.

How do I debug kernel modules and trace interrupt handling issues?▼

Kernel debugging employs logging, tracing utilities, and performance analysis tools to diagnose module behavior and IRQ problems. Comprehensive return-value checking, proper input validation, and adherence to kernel coding style (8-char tabs, 80-char lines) help identify issues early.

Can I use USB driver patterns in my kernel module project?▼

Yes, USB drivers follow platform driver templates with probe/remove callbacks and devm_* resource management. USB drivers integrate with device-tree configurations, handle interrupt routing, support DMA operations, and must comply with kernel subsystem APIs and modern coding conventions.

What are the key constraints when developing kernel modules?▼

Kernel module development prohibits sleeping in atomic context, requires static functions where possible, mandates goto-based error handling with complete cleanup, and enforces strict adherence to kernel coding style. All resource allocation must use devm_* functions and validate inputs rigorously.

How do I integrate device-tree configurations with platform drivers?▼

Platform drivers bind to device-tree nodes through compatible properties, extract hardware configuration and memory-mapped register addresses from device-tree data, and initialize interrupt and DMA setup accordingly. Use devm_* functions to manage resources tied to device lifecycle.