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prompt

System Prompts & AI Models

Get open-sourced system prompts and AI models for startup founders, with 139k+ GitHub stars
intermediate⏱ 1-2 hours💵 Free + LLM API costs
138,802 stars34,519 forksQuality 9/10Updated 6/5/2026100% free · open source
What it is

Use system prompts and AI models from various sources, such as Augment Code and Cursor, to automate tasks and workflows.

What you can make with it

Automations like: use Cursor to pull product data from Amazon and update a Notion database, then send notifications via email.

How it helps

This skill helps to reduce manual labor and save time by leveraging open-source system prompts and AI models.

Real use case example

"A founder, Alex, wants to automate the process of updating their e-commerce storefront with new product data. They use the 'Cursor' system prompt to pull data from Amazon and update their Notion database. Next, they set up a notification workflow to send a welcome email to new customers."

If you're new

Novices should pick up this skill when they're comfortable with basic scripting or automation.

If you're senior

Pro developers and engineers will reach for this when they need to integrate multiple open-source AI models and workflows into their existing infrastructure.

Common confusion cleared up

This skill is often confused with general-purpose automation tools, but it's specifically designed for integrating multiple open-source AI models and workflows.

Best inside these AI tools
CursorClaude DesktopClaude CodeCodex CLI
Pairs with
Augment CodeCursorStripe webhook
Why we list it on WorkflowStacks: This skill is included because it provides free and open-source access to a wide range of system prompts and AI models.
What it does

This tool provides a collection of system prompts and models for various AI tools, allowing users to integrate and utilize AI capabilities in their applications and workflows.

Install / run
Clone the repository using `git clone https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git`
When to use it
  • •When developing applications that require AI-driven functionality, such as code completion or text analysis
  • •When integrating multiple AI tools and services, and needing a unified set of prompts and models
  • •When exploring the capabilities and limitations of different AI models and tools
Quick start
  1. 1Explore the `FULL Augment Code` and `Claude Code` directories for examples of AI-powered code completion and generation
  2. 2Review the `README.md` file for a comprehensive list of supported AI tools and models
  3. 3Navigate to the `Perplexity` or `NotionAI` directory to examine the prompts and models used for text analysis and generation
  4. 4Use the `git pull` command to ensure the repository is up-to-date with the latest changes and additions
  5. 5Search for specific AI tools or models using the `grep` command, e.g., `grep -r 'Leap.new'`
Ready-to-paste prompt
To use the `Leap.new` model, paste the following prompt into your terminal: `echo 'Write a Python function to calculate the factorial of a given number' | Leap.new --model leap_new --output output.py`
Heads up: Be aware that some AI models and tools may require API keys or authentication tokens, which must be obtained and configured separately before use
Saves to your device

Topics

ai
bolt
cluely
copilot
cursor
cursorai
devin
github-copilot
lovable
open-source
perplexity
replit
system-prompts
trae
trae-ai
trae-ide
v0
vscode
windsurf
windsurf-ai
What's inside — free to inspect
No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

2
top-level files
34
folders
1.4M
repo size
GPL-3.0
license
Key files
README.md
File tree
.github/
Amp/
Anthropic/
assets/
Augment Code/
Cluely/
CodeBuddy Prompts/
Comet Assistant/
Cursor Prompts/
Devin AI/
dia/
Emergent/
Google/
Junie/
Kiro/
Leap.new/
Lovable/
Manus Agent Tools & Prompt/
NotionAi/
Open Source prompts/
Orchids.app/
Perplexity/
Poke/
Qoder/
Quick Actions
Details
Creator
x1xhlol
Category
prompt
Published
3/5/2025

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