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��树

Official implementation of paper "Meta Prompting for AI Systems" (https://arxiv.org/abs/2311.11482)

This framework works as a form of user/machine calibration, with a focus on user-context and user-intent, deconstructing your ideas logically from A to B to Z.

In the midst of all the tools out there that you can possibly use to keep track of them. Here's a "shovel" that just works to try them all out.

State-of-the-art prompting techniques implementation with DSpy - Manager-style prompts, role personas, meta-prompting, and more

A modular, polymorphic, multi-agent framework for meta-prompting.

A structured execution protocol for echoes in AI systems. It includes a series of echoes designed to optimize, evaluate, and plan processes in conversational AI

Official implementation of paper "Meta Prompting for AI Systems" (https://arxiv.org/abs/2311.11482)

This repository explores OpenAI’s o1 model, a cutting-edge AI designed for abstract reasoning, coding, and vision-based tasks. It provides insights into o1’s strengths, advanced prompting techniques, task delegation, and real-world applications, enabling developers to build intelligent, high-performance AI-driven solutions.

An advanced guide to writing better prompts for ChatGPT, Claude, Gemini, and other LLMs. Learn structured techniques like meta-prompting, self-review, and context-rich design.

AI-Driven VBA Development for Enhanced Word/Zotero/AI Manuscript Authoring Workflows

Professional prompt engineering collection for AI-assisted software development. 37+ specialized prompts for code review, testing, and development workflows with GPT-5 meta-prompting guides.

MPP is a framework for generating self-describing, task-specific AI communication protocols on the fly.