Verified project record

langgptai/LangGPT

LangGPT is a structured prompt design framework that brings programming-inspired organization to large language model prompt creation. It supplies hierarchical templates, a library of example prompts, and integration with mainstream LLM platforms.

Project overview

Use cases: Documents & Office
Deployment: Refer to project documentation
License: Apache-2.0

Best for

General users, developers, and researchers looking for a reusable, code-inspired framework to standardize prompt creation across mainstream large language models.

Key capabilities

Provides a hierarchical organization for prompt design inspired by programming paradigms. This includes support for variables, commands, and conditional logic to standardize prompt creation.
Ships with a library of pre-built example prompts, including FitnessGPT, Code Master CAN, Xiaohongshu Writer, and Chinese Poet, to help users get started quickly.
Offers an installable skill that provides structured prompt writing capabilities directly within compatible environments.

Limitations and risks

Users must possess basic Markdown knowledge to effectively use and structure the templates provided by the framework.

Getting started

Download the langgpt.skill file, extract it into the ~/.claude/skills/ directory, and type /langgpt in Claude Code to activate the structured prompt writing capabilities. Templates can generally be learned in five minutes.

Evidence and sources

GitHub project description: LangGPT: Empowering everyone to become a prompt expert!
README: LangGPT is a structured, reusable prompt design framework that enables anyone to create high-quality prompts for Large Language Models.
README: It is the most popular, most widely adopted, and most practical structured prompt paradigm in the Chinese AI community
README: Traditional prompt engineering relies on scattered tips and trial-and-error. LangGPT transforms this chaos into a structured methodology:
README: Academic Foundation: Published research at arXiv:2402.16929

Reviewed at: 2026-07-18T01:15:14Z