LangGPT and Prompt-Engineering-Guide-zh-CN
LangGPT provides a structured methodology and meta-prompt framework for designing prompts, while the Prompt-Engineering-Guide-zh-CN serves as an educational reference collection of guides and resources—making them **complements** that work together, where one teaches the theory and best practices and the other provides the hands-on framework for implementation.
About LangGPT
langgptai/LangGPT
LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词（Structured Prompt）提出者 📌 元提示词（Meta-Prompt）发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树
Based on the README, here's a technical summary that goes deeper: --- Provides a hierarchical, markdown-based template system with standardized sections (Role, Profile, Goals, Skills, Rules, Workflow, Initialization) that enables reusable prompt composition similar to code modules, with support for variables, commands, and conditional logic. Includes automation tooling via OpenAI GPTs, Claude Code integration, and a skill installer for streamlined deployment. The framework is grounded in academic research on dialogue dynamics and LLM behavior patterns, addressing systematic prompt engineering through documented theoretical foundations rather than trial-and-error.
About Prompt-Engineering-Guide-zh-CN
yunwei37/Prompt-Engineering-Guide-zh-CN
🐙 关于提示词工程（prompt）的指南、论文、讲座、笔记本和资源大全（自动持续更新）
Organizes prompt engineering knowledge across structured guides covering foundational techniques, advanced strategies, adversarial robustness, and LLM-specific applications like ChatGPT, complemented by curated research papers, tools, and datasets. The collection includes interactive Jupyter notebooks with executable code examples, video lectures, and slides demonstrating practical prompt optimization techniques for improving LLM performance on reasoning and question-answering tasks. Maintained with automated updates to track the rapidly evolving landscape of prompt engineering research and best practices.
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