150+ Free AI Agent Prompts: Build Your AI Team for Claude Code and Cursor

An "AI Agency" on GitHub

An open-source project that has racked up an impressive number of GitHub stars is turning heads — it presents itself as a complete "AI agency," but what it actually delivers is a structured library of prompts. The entire repository contains over 150 preset AI Agents, each one a Markdown file at its core — essentially a prompt with a distinct "persona" baked in.

The design philosophy here is worth appreciating: this isn't yet another complex framework that needs to be installed. Instead, it breaks each professional role down into a readable, editable, copy-paste-ready text file. Whatever kind of assistant you need, you simply pull up the corresponding prompt.

Every Agent Is a "Professional Persona"

The range of preset roles is impressively broad. A few standout examples: a Front-end Dev, a Reddit Ninja (a community growth specialist), and a role called the "Reality Checker" — whose job is clearly to poke holes in unrealistic plans and offer grounded, sober judgment.

Organizing prompts around "professional personas" significantly lowers the barrier for everyday users. You don't need to craft a high-quality system prompt from scratch — just pick the role file that best fits your task. For anyone who isn't fluent in prompt engineering, this is essentially a curated, battle-tested collection of ready-to-use templates.

Compatible with Major AI Coding Tools

Another key selling point is broad compatibility. Since every Agent is, at its heart, plain text, it can be plugged directly into today's mainstream AI coding assistants — Claude Code, Cursor, GitHub Copilot, and more are all supported.

In other words, you don't need to overhaul your existing workflow. If you're already using one of these AI tools, just feed in the relevant prompt and it works immediately. This "zero-friction" integration is a natural advantage that pure-prompt solutions have over heavyweight agent frameworks.

A quick note on these tools: Claude Code is Anthropic's command-line AI coding assistant, which lets users customize its behavior via system prompts. Cursor is an AI-native code editor that supports injecting custom instructions at the project level (typically via .cursorrules files). GitHub Copilot is Microsoft's AI-powered developer tool, and recent versions have also opened up a custom instructions configuration entry. All three support the concept of "system prompts" or "custom instructions," which means a plain-text prompt library like this integrates seamlessly — no additional development work required.

Completely Free, MIT Licensed

On cost, the answer is simple: it's entirely free, released under the MIT open-source license. That means you can not only use it at no charge, but also freely modify it, redistribute it, and even use it in commercial projects — with virtually no licensing concerns.

The only prerequisite is that you bring your own AI tool that supports prompt injection. The project itself provides no model and no compute; it serves purely as a "prompt resource library," not an all-in-one platform.

The MIT License is one of the most permissive in the open-source world. Unlike licenses such as the GPL, MIT does not require derivative works to also be open-sourced, nor does it restrict commercial use — you simply need to retain the copyright notice. This is particularly friendly for enterprise users: you can integrate these prompt templates directly into internal tools or commercial products without worrying about licensing compliance. Compared to some prompt products that operate on a subscription or pay-per-call model, the MIT open-source distribution model dramatically lowers the cost of evaluation and adoption.

A Grounded Take: These Are Good Prompts, Not Employees

The video's author offers a notably restrained assessment: "Good prompts, not employees." It's a line worth keeping in mind before you dive in.

No matter how convincingly it's packaged as "an AI company," these Agents are still, fundamentally, prompts. They can improve the quality of output on a given task and help you quickly step into a specialized frame of mind — but they won't truly replace human judgment, collaboration, or accountability. Treating them as high-quality assistance tools, rather than digital workers who can autonomously handle everything on your behalf, is the right way to set expectations.

Who Should "Hire" First?

For developers, content creators, and anyone who collaborates with AI on a regular basis, a free prompt library like this offers exceptional value. Frontend developers will probably reach for the "Front-end Dev" agent first. Community managers will gravitate toward the "Reddit Ninja." And those who tend to make decisions in isolation might find that the "Reality Checker" is exactly the calm, critical counterpoint they've been missing.

At the end of the day, this project's value lies in productizing and personalizing the results of prompt engineering — giving more people access to high-quality prompts at near-zero cost. If you're already using Claude Code or Cursor, it's worth browsing the library and trying out whichever role fits your current needs.