6 best prompt engineering GitHub repos to use
Prompt libraries, evaluation harnesses, and the collections of system prompts people reverse-engineered. Useful whether or not you write the prompts yourself.
Find GitHub repos worth using by topic, language, license and how active they are. Navid's picks come first, and each one opens its own page.
This is a list of the best prompt engineering GitHub repos.
In fact, it has 6 of them, with Navid's picks first.
So if you want prompt engineering GitHub repos worth your time, you'll love this list.
Prompt libraries, evaluation harnesses, and the collections of system prompts people reverse-engineered. Useful whether or not you write the prompts yourself.
Here's what's inside:
- Generative Ai For Beginners by microsoft
- Caveman by JuliusBrussee
- Humanizer by blader
- Academic Research Skills by Imbad0202
- Finrobot by AI4Finance-Foundation
- Vibe Coding Prompt Template by KhazP
Each one comes with what it covers and who it's for.
What are the best prompt engineering GitHub repos?
Here's the list at a glance.
- Owner
- microsoft
- Stars
- ★ 120k
- Owner
- JuliusBrussee
- Stars
- ★ 108k
- Owner
- blader
- Stars
- ★ 53k
- Owner
- Imbad0202
- Stars
- ★ 50k
- Owner
- AI4Finance-Foundation
- Stars
- ★ 8.1k
- Owner
- KhazP
- Stars
- ★ 3.1k
Top 6 prompt engineering GitHub repos
1. Generative Ai For Beginners by microsoft
This repository includes 50+ language translations which significantly increases the download size. To clone without translations, use sparse checkout:
This gives you everything you need to complete the course with a much faster download.
Learn the fundamentals of building Generative AI applications with our 21-lesson comprehensive course by Microsoft Cloud Advocates.
Stars: 120k
Language: Jupyter Notebook
License: MIT
View Generative Ai For Beginners on GitHub · More about Generative Ai For Beginners
2. Caveman by JuliusBrussee
Original skill made agents say less. Caveman 2 makes them read less too. 33.2% fewer provider-reported input tokens in a pinned Claude Code benchmark. benchmarkcounterfactual Keep your agent. Brain big. Context small.
Caveman is three separate installs. Each works alone. Not sure? Start with the skill, it needs no account, proxy, Go toolchain, or code changes.
Shorter answers, the skill (MIT). The caveman skill + slash commands in every supported agent found on your machine. Nothing else.
Stars: 108k
Language: Go
License: Other
Install:
bash npm install -g @caveman-ai/cli && caveman setup --install
View Caveman on GitHub · More about Caveman
3. Humanizer by blader
A portable agent skill that removes signs of AI-generated writing from text, making it sound more natural and human. It is plain Markdown, so it can run in any harness that supports skill-style instructions.
Omit --global for a project-local install that can be committed and shared with collaborators. Start a new agent session or reload skills after installation.
Any agent harness can use the skill directly because the runtime artifact is SKILL.md. Install it wherever your harness expects skill directories, or copy SKILL.md into an existing skill folder.
Stars: 53k
Language: Python
License: MIT
Install:
bash npx skills add blader/humanizer --global
View Humanizer on GitHub · More about Humanizer
4. Academic Research Skills by Imbad0202
A comprehensive suite of Claude Code skills for academic research, covering the full pipeline from research to publication.
Install in 30 seconds (Claude Code CLI / VS Code / JetBrains, v3.7.0+):
Then try /ars-plan to walk through your paper structure via Socratic dialogue, or jump to Quick install for prerequisites and the traditional symlink flow.
Stars: 50k
Language: Python
License: Other
View Academic Research Skills on GitHub · More about Academic Research Skills
5. Finrobot by AI4Finance-Foundation
FinRobot is an AI Agent platform tailored for financial applications, surpassing FinGPT's single-model approach. It unifies multiple AI technologies, including LLMs, reinforcement learning, and quantitative analytics, to power investment research automation, algorithmic trading strategies, and risk assessment, delivering a full-stack intelligent solution for the financial industry.
Concept of AI Agent: an AI Agent is an intelligent entity that uses large language models as its brain to perceive its environment, make decisions, and execute actions. Unlike traditional artificial intelligence, AI Agents possess the ability to independently think and utilize tools to progressively achieve given objectives.
We are excited to announce the first public release of FinRobot Desktop v0.1.0, a native desktop equity research cockpit powered by a production-grade multi-agent architecture.
Stars: 8.1k
Language: Jupyter Notebook
License: Apache-2.0
Install:
bash git clone https://github.com/AI4Finance-Foundation/FinRobot.git
View Finrobot on GitHub · More about Finrobot
6. Vibe Coding Prompt Template by KhazP
Turn an idea into an MVP with structured prompts, agent docs, and AI-assisted coding workflows.
Used on projects like vibeworkflow.app, moneyvisualiser.com, caglacabaoglu.com, and RealDex App.
This repo documents the workflow behind a handful of shipped projects. The goal is simple: do the thinking upfront, hand clean context to your tools, and keep the build phase moving.
Stars: 3.1k
Language: TypeScript
License: MIT
View Vibe Coding Prompt Template on GitHub · More about Vibe Coding Prompt Template
Final thoughts on prompt engineering GitHub repos
The best prompt engineering repo is the one you come back to. Pick 2 or 3 from this list, give them a month, and keep the ones you look forward to.
Navid Moazzez
AI business strategist & AI OS builder
Navid Moazzez helps creators and founders master AI and build their own AI Operating System (AI OS) to automate their business and life.
Navid.me is reader-supported. When you buy through links on this site, I may earn an affiliate commission. Learn more.
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