diff --git a/GettingStarted.md b/GettingStarted.md
new file mode 100644
index 0000000..243156b
--- /dev/null
+++ b/GettingStarted.md
@@ -0,0 +1,25 @@
+## Clone the repository
+Run the following command to clone the repository and navigate into it:
+
+    git clone https://github.com/hydroframe/cssi_evaluation.git
+
+    cd cssi_evaluation
+
+## Set up the recommended local environment
+
+Run these commands from the repository root. This assumes that conda and mamba are already installed (e.g., conda install mamba -n base -c conda-forge).
+
+    mamba env create -f cssi_env.yml
+
+    conda activate cssi_evaluation
+
+    python -m ipykernel install --user --name=cssi_evaluation
+
+The environment file installs the local `cssi_evaluation` package in editable mode with the
+`[notebooks,dev]` extras, so package imports, notebooks, and development tools are available in
+the same environment.
+
+## Notes
+
+- `pyproject.toml` is the package metadata file used by `pip install -e .`. It contains core library dependencies. 
+- `cssi_env.yml` is the single Conda environment file intended for running examples and it contains heavy Conday/system dependencies.
diff --git a/getting_started.md b/getting_started.md
deleted file mode 100644
index 6ac8233..0000000
--- a/getting_started.md
+++ /dev/null
@@ -1,48 +0,0 @@
-## Creating the recommended local environment
-
-Run these commands from the repository root. This assumes that conda and mamba are already installed (e.g., conda install mamba -n base -c conda-forge).
-
-    mamba env create -f cssi_env.yml
-
-    conda activate cssi_evaluation
-
-    python -m ipykernel install --user --name=cssi_evaluation
-
-The environment file installs the local `cssi_evaluation` package in editable mode with the
-`[notebooks,dev]` extras, so package imports, notebooks, and development tools are available in
-the same environment.
-
-
-## Creating the recommended environment on **Verde**
-
-Follow these steps:
-
-    # 1. Go to a writable folder (Verde user home)
-    cd ~
-
-    # 2. Download and extract micromamba (Linux x86_64)
-    curl -L https://micromamba.snakepit.net/api/micromamba/linux-64/latest | tar -xvj bin/micromamba
-
-    # 3. Add micromamba to PATH temporarily (for this session)
-    export PATH=$PWD/bin:$PATH
-
-    # 4. Go to the cloned repository root
-    cd /home/<USER>/cssi_evaluation
-
-    # 5. Create the environment from the repository YAML
-    micromamba env create -f cssi_env.yml
-
-    # 6. Initialize micromamba for your shell
-    eval "$(micromamba shell hook --shell bash)"
-
-    # 7. Activate your environment
-    micromamba activate cssi_evaluation
-
-    # 8. Register the Jupyter kernel
-    python -m ipykernel install --user --name=cssi_evaluation
-
-
-## Notes
-
-- `pyproject.toml` is the package metadata file used by `pip install -e .`. It contains core library deps. 
-- `cssi_env.yml` is the single Conda environment file intended for running examples and it contains heavy Conday/system deps.