diff --git a/.github/workflows/checks.yml b/.github/workflows/checks.yml
index 35b3b96..096e366 100644
--- a/.github/workflows/checks.yml
+++ b/.github/workflows/checks.yml
@@ -23,7 +23,8 @@ jobs:
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
-        python -m pip install -r .github/workflows/requirements.txt
+        python -m pip install -r requirements.txt
+        python -m pip install mypy pytest
 
     - name: Run MyPy
       run: |
diff --git a/README.md b/README.md
index 789dc97..eb26b2d 100644
--- a/README.md
+++ b/README.md
@@ -20,17 +20,17 @@
 - [Example](#example)
 
 
-## Introduction 
+## Introduction
 
-**CuteKit** is a simple - yet - powerful build system and package manager for C and C++. It: 
+**CuteKit** is a simple - yet - powerful build system and package manager for C and C++. It:
 
 - ✨ It uses **JSON**: Cutekit uses JSON instead of introducing a whole new programming language for describing the project. And also has macros to help the user experience (see [Jexpr](doc/spec/jexpr.md)).
 - ✨ It's a **package manager**: Cutekit package manager is based on **Git**, nothing is centralized.
-- ✨ It's **extendible**: Cutekit can be [extended](./doc/extends.md) by writing custom Python plugins. 
+- ✨ It's **extendible**: Cutekit can be [extended](./doc/extends.md) by writing custom Python plugins.
 - ✨ It's **easy**: the [**templates**](./doc/templates.md) help the user quick-start a project.
 - ✨ It's **portable**: Cutekit can run on MacOS Gnu/Linux and Windows.
 
-## Installation 
+## Installation
 
 To install Cutekit, you may use your favourite package manager if it is available. Or you can install it manually by following the instructions below.
 
@@ -45,13 +45,13 @@ $ cd cutekit
 $ pip install --user -e .
 ```
 
-## Quick-start 
+## Quick-start
 
--> If you directly want to start using Cutekit for a new project, you can just run `$ ck I host` and it will create a new project in the host directory (you can rename it later). 
+-> If you directly want to start using Cutekit for a new project, you can just run `$ ck I host` and it will create a new project in the host directory (you can rename it later).
 
 -> If you want to use Cutekit for writing operating systems, you can create a new [limine](https://github.com/limine-bootloader/limine/)-based project by running `$ ck I limine-barebone`.
 
-## Example 
+## Example
 
 If you want to see how it works you can read the [doc/cutekit.md](doc/cutekit.md) file.
 
diff --git a/pyproject.toml b/pyproject.toml
index 6b6e67f..14384a5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -14,12 +14,7 @@ authors = [
 readme = "README.md"
 requires-python = ">=3.10"
 license = { text = "MIT" }
-dependencies = [
-    "requests ~= 2.31.0",
-    "graphviz ~= 0.20.1",
-    "dataclasses-json ~= 0.6.2",
-]
-dynamic = ["version"]
+dynamic = ["version", "dependencies"]
 
 [project.scripts]
 ck = "cutekit:main"
@@ -31,6 +26,7 @@ packages = ["cutekit"]
 
 [tool.setuptools.dynamic]
 version = { attr = "cutekit.const.VERSION" }
+dependencies = { file = ["requirements.txt"] }
 
 [tool.setuptools.package-data]
 "cutekit" = ["py.typed"]
diff --git a/.github/workflows/requirements.txt b/requirements.txt
similarity index 68%
rename from .github/workflows/requirements.txt
rename to requirements.txt
index 3055127..892a2bf 100644
--- a/.github/workflows/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,4 @@
 requests ~= 2.31.0
 graphviz ~= 0.20.1
 dataclasses-json ~= 0.6.2
-mypy ~= 1.7.0
-pytest ~= 7.4.3
+docker ~= 6.1.3