promptslab/Awesome-Prompt-Engineering
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
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Momentum
+159
STARS · LAST 30 DAYS
5
PER DAY
#316
MOST-STARRED TypeScript
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +21 | +159 | +450 |
| Per day | 3 | 5 | 5 |
| Forks gained | +4 | +16 | +39 |
Awesome-Prompt-Engineering gained 159 stars in the last 30 days, about 5 a day, and now has 6.4K. It is about 4 years old and has averaged roughly 1.6K stars a year. It ranks #316 among TypeScript repositories and #1,901 across all languages on GitHubRepo.
Trending Record
18
DAYS ON TRENDING
#1468
BEST RANK
Sep 30, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Awesome-Prompt-Engineering has maintained a continuous presence across global trending indexes, peaking at #1468. Below is the 30-day activity profile:
💡 Overview
Awesome-Prompt-Engineering is an open-source project written in TypeScript: This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc .
Engineered for speed, consistency, and developer ease, it solves common hurdles in chatgpt, chatgpt-api, deep-learning. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in TypeScript for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ npm install Awesome-Prompt-Engineering
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Node.js >= 18, npm, pnpm or bun
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Awesome-Prompt-Engineering coordinates its core functionality through a modular TypeScript pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with Awesome-Prompt-Engineering.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install Awesome-Prompt-Engineering using your package manager: `npm install Awesome-Prompt-Engineering`
Initialize your project workspace or configuration file for Awesome-Prompt-Engineering.
Import Awesome-Prompt-Engineering into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Awesome-Prompt-Engineering --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
promptslab/Awesome-Prompt-Engineering is currently ranked #1,901 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
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| #1,900 | microsoft/aspire | C# | ★ 6.4K | Compare ↗ |
| #1,901 | promptslab/Awesome-Prompt-Engineering This Project | TypeScript | ★ 6.4K | |
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Frequently Asked Questions
What does Awesome-Prompt-Engineering do? +
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
What language is Awesome-Prompt-Engineering written in? +
The primary language is TypeScript. Topics include: chatgpt, chatgpt-api, deep-learning, few-shot-learning, gpt.
Is Awesome-Prompt-Engineering actively maintained? +
Yes, the last recorded push was on Oct 13, 2026 with 125 open issues being tracked.
How many stars does Awesome-Prompt-Engineering have? +
Awesome-Prompt-Engineering has 6,370 stars and 776 forks on GitHub.
How does Awesome-Prompt-Engineering rank among GitHub repositories? +
With 6,370 stars, promptslab/Awesome-Prompt-Engineering is ranked #1,901 globally across all repositories tracked on GitHubRepo and #316 among TypeScript projects.
What license is Awesome-Prompt-Engineering distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.