🚀 LangGPT — Empowering Everyone to Create High-Quality Prompts!

Quick Start | Theoretical Foundations | Ecosystem | Community

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📖 What is LangGPT?

LangGPT is a structured, reusable prompt design framework that enables anyone to create high-quality prompts for Large Language Models. Think of it as a "programming language for prompts" — systematic, template-based, and infinitely scalable.

Why LangGPT?

Traditional prompt engineering relies on scattered tips and trial-and-error. LangGPT transforms this chaos into a structured methodology:

🎯 Structured Templates — Hierarchical organization inspired by programming paradigms
🔄 Reusability — Create once, adapt infinitely like code modules
📦 Modularity — Variables, commands, and conditional logic at your fingertips
⚡ Efficiency — Go from idea to working prompt in minutes
🌍 Community-Driven — 11,000+ stars, battle-tested by thousands of users

Academic Foundation: Published research at arXiv:2402.16929 | 中文版

🚀 Quick Start

Method 1: Use Automated Tools (Fastest)

Let AI create prompts for you:

LangGPT GPTs — Full-featured generator (GPT-4)
Kimi+ LangGPT — For Moonshot Kimi users
PromptGPT — Lite version (GPT-3.5)

Method 2: Master the Template (5 Minutes)

Basic LangGPT structure:

# Role: Your_Role_Name

## Profile
- Author: YourName
- Version: 1.0
- Language: English
- Description: Clear role description and core capabilities

## Goal
- Outcome: What concrete result/outcome should be delivered for the user/session
- Done Criteria: Clear acceptance criteria (how we know it’s finished and good)
- Non-Goals: What is explicitly out of scope to avoid scope creep

### Skill-1
1. Specific skill description
2. Expected behavior and output

## Rules
1. Don't break character under any circumstance
2. Don't make up facts or hallucinate

## Workflow
1. Analyze user input and identify intent
2. Apply relevant skills systematically
3. Deliver structured, actionable output

## Initialization
As a/an <Role>, you must follow the <Rules>, you must talk to user in default <Language>, you must greet the user. Then introduce yourself and introduce the <Workflow>.

Prerequisites: Basic Markdown knowledge (Quick Guide) | GPT-4 or Claude recommended

Method 3: Start from Examples

Explore our example library and adapt proven templates to your needs.

Method 4: Claude Code Skill (Recommended)

If you use Claude Code, install the LangGPT Skill to get structured prompt writing capabilities:

Installation:

Download langgpt.skill
Extract to ~/.claude/skills/ directory
Type /langgpt in Claude Code to use

Skill Features:

📝 Structured prompt templates (Role, Profile, Skills, Rules, Workflow)
📚 Rich example library (FitnessGPT, Poet, Xiaohongshu Master, Name Master, etc.)
🔧 Advanced techniques: variables, commands, conditional logic
🎯 Model compatibility guide (GPT-4, Claude, GPT-3.5)

🧠 Theoretical Foundations

Before diving into tactics, understand the principles. These essays explore the philosophy behind effective prompting:

对话动力学 — The dynamics of human-AI dialogue
五种理性 — Five types of rationality in prompt design
镜像性倾向 — Mirror tendencies in LLM behavior
统计重力井和边缘表达 — Statistical gravity well and edge expression
关系表达 — Expressing relationships in prompts
看见与言说 — Seeing and articulation in AI interaction
Prompt 的本质 — The essence and nature of prompts
面向结果的提示词写作方法 — Writing prompts that focus on achieving desired outcomes
AI意识 — Understanding the role of AI in human-AI interaction
AI时代的新管理：机器负责优化，人类定义应该 — The new management in the AI era: machines optimize, humans define the criteria

These foundational insights will transform how you think about prompts.

💡 Core Concepts

1. Structured Roles

Define AI personas through clear, modular sections:

| Section | Purpose | Example | |---------|---------|---------| | Role | Role name/title | "逻辑学家" / "Expert Analyst" / "FitnessGPT" | | Profile | Identity and capabilities | "Expert Python developer with 10 years experience" | | Goal | Desired outcome, done criteria, and non-goals for this session/task | “Refactor a prompt into a reusable template; acceptance criteria: pass three structured checks; non-goal: rewriting the business logic.” | | Skills | Specific abilities | "Debug complex code, optimize performance" | | Rules | Boundaries and constraints | "Never execute destructive commands" | | Workflow | Interaction logic | "1. Analyze → 2. Plan → 3. Execute" | | Initialization | Opening message and setup | "As a <Role>, I will greet you and introduce the <Workflow>" |

2. Variables and References

Use <Variable> syntax for dynamic content:

As a <Role>, you must follow <Rules> and communicate in <Language>

This creates self-referential prompts that maintain consistency across complex instructions.

3. Commands

Define reusable actions for better UX:

## Commands
- Prefix: "/"
- Commands:
    - help: Display all available commands
    - continue: Resume interrupted output
    - improve: Enhance current response with deeper analysis

4. Conditional Logic

Add intelligence to your prompts:

If user provides [code], then analyze and suggest improvements
Else if user asks [question], then provide detailed explanation
Else, prompt for clarification

5. Advanced Techniques

Reminders — Combat context loss in long conversations:

## Reminder
1. Always check role settings before responding
2. Current language: <Language>, Active rules: <Rules>

Alternative Formats — Use JSON/YAML when markdown isn't ideal:

role: DataAnalyst
profile:
  version: "2.0"
  language: "Python"
skills:
  - statistical_analysis
  - data_visualization

🌟 Featured Examples

| Prompt | Description | Link | |--------|-------------|------| | 🎯 FitnessGPT | Personalized diet and workout planner | View | | 💻 Code Master CAN | Advanced coding assistant with debugging expertise | View | | ✍️ Xiaohongshu Writer | Viral social media content generator | View | | 🎨 Chinese Poet | Classical poetry composer in traditional styles | View |

Browse 100+ more examples →

📚 Learning Resources

Essential Guides

| Resource | Description | Date | |----------|-------------|------| | Academic Paper | LangGPT: Rethinking Structured Reusable Prompt Design (中文) | Feb 2024 | | Structured Prompts Guide | Comprehensive tutorial on building high-performance prompts | Jul 2023 | | Prompt Chains | Multi-prompt collaboration and task decomposition strategies | Aug 2023 | | Video Tutorial | BiliBili walkthrough (by AIGCLINK) | Sep 2023 |

Advanced Topics

推理模型提示方法变革 — Paradigm shift from procedural to goal-oriented prompting
提示词的道和术 — Philosophy and practice of prompt engineering by 李继刚
企业级提示词工程 — Building production-ready prompt systems (百川智能)
多模态提示词 — GPT-4V and multi-modal prompting techniques
提示词攻击与防护 — Security: prompt injection, jailbreaks, and defenses
大模型绘画指南 — AI image generation with structured prompts

Community Hub

Feishu Knowledge Base — Curated resources, templates, and community contributions

🎨 LangGPT Ecosystem

Core Framework & Tools

| Project | Description | Stars | |---------|-------------|-------| | LangGPT | Core framework and methodology | | | PromptVer | Semantic versioning for prompts — version control like Git | | | **[PromptShow](https:

LangGPT

Install / Use

README