claude-howto-zh-cn
About
This is an unofficial Chinese localized guide for Claude Code, forked and rewritten from the upstream project 'luongnv89/claude-howto'. It aims to help Chinese users progress from basic operations to mastering advanced Claude Code features, such as the combined use of slash commands, memory, skills, hooks, MCP, subagents, and plugins. The guide rephrases explanations, addresses common obstacles for Chinese users, and preserves key executable identifiers to ensure compatibility, providing a practical learning path for Claude Code.
Features
- Tailored Claude Code learning path for Chinese users
- Preserves executable identifiers for compatibility and direct reuse
- Systematic explanations of core features like Slash Commands, Memory, Skills, and Hooks
- Provides combined practice for scenarios such as automated code review and CI/CD
- Supports offline EPUB reading and localization compatibility validation
Supported Platforms
Links
Related AI Industry News
MCP: The USB-C of AI Tools, Addressing Developers' Outdated AI Assistant Workflows
Observing developers' cumbersome AI-assisted debugging workflows—constant tab switching and repetitive copy-pasting—highlights a significant inefficiency, akin to using a 2010 mobile phone. A major protocol shift is underway in AI tooling, with the Model Context Protocol (MCP) emerging as the "USB-C" for AI tools, aiming to standardize integrations. However, most developers remain unaware, continuing to operate with outdated methodologies and missing out on the transformative potential of MCP.
Read Full Story →
Unveiling MCP Tool's Hidden Footprint: How eBPF Exposes AI Agent's True Kernel Interactions
While AI agents perceive MCP tool calls as simple API interactions, these abstract functions often trigger a vast, unstated array of syscalls, library calls, and kernel paths. This article demonstrates how eBPF (extended Berkeley Packet Filter) provides crucial visibility into the actual, low-level system operations performed by MCP tools, revealing their true "kernel-side surface." This deep insight is vital for debugging, performance optimization, and understanding the complete operational footprint of AI-driven workflows, especially in complex environments like GPU hosts.
Read Full Story →
Neuralink Developing Surgical Robot Capable of Reaching All Brain Regions for Universal Neural Interface
Elon Musk's Neuralink announced it is developing an advanced surgical robot designed to reach any region of the brain. The company's ambitious goal is to create a universal neural interface to address all brain-related diseases. Neuralink emphasized that this device is currently in the research phase and has not yet received FDA approval, marking a significant step in brain-computer interface technology.
Read Full Story →