A trilingual (Traditional Chinese / English / Simplified Chinese) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. Chinese AI Agent learning map.
awesome-agentic-ai-zh is a trilingual learning roadmap for building and using AI agents, which are systems that pursue a goal by choosing steps, using tools, and responding to results. It guides beginners and experienced programmers through LLM basics, agent loops, multi-agent systems, reliability, and practical exercises. Its catalogue add-ons support workflows involving CLI agents such as Claude Code, Codex, and OpenCode.
This repository also configures its own agents. See what awesome-agentic-ai-zh tells them →
WenyuChiou/awesome-agentic-ai-zh
Skill Claude Code
Use when a tool-calling agent does not call a tool, sends wrong arguments, loops without stopping, or needs a function schema. Guides a four-branch diagnosis and five-step schema repair. Do not use for framework-specific, MCP-server, or production-observability questions.