Prepare for public release on Gitea: simurgarray package names, community files, Gitea templates, pseudonymised P6 probe names

docs/user_guide.md

@@ -37,8 +37,8 @@ Without them the same code runs in pure Python/NumPy; `SIMURG_PURE_PYTHON=1` for
 `manylinux_2_28` kernel wheels for x86_64 and aarch64, glibc ≥ 2.28):
 
 ```bash
-python3 -m venv simurg-env && simurg-env/bin/pip install simurg-2.0.0-py3-none-any.whl \
-    simurg_core-1.1.0-cp312-abi3-manylinux_2_28_$(uname -m).whl        # the second wheel is optional
+python3 -m venv simurg-env && simurg-env/bin/pip install simurgarray-2.0.0-py3-none-any.whl \
+    simurgarray_core-1.1.0-cp312-abi3-manylinux_2_28_$(uname -m).whl        # the second wheel is optional
 ```
 
 **Docker** (image ≈ 550 MB, kernels included, runs as a non-root user; data stay in the mounted folder):
@@ -53,7 +53,7 @@ docker run --rm --user "$(id -u):$(id -g)" -v "$PWD":/work simurg:2.0.0 \
 
 ```bash
 conda build -c conda-forge --output-folder conda-bld packaging/conda/simurg-core packaging/conda/simurg
-conda create -n simurg -c ./conda-bld -c conda-forge simurg simurg-core
+conda create -n simurgarray -c ./conda-bld -c conda-forge simurgarray simurgarray-core
 ```
 
 All four installs give identical results on x86_64 and aarch64 (`docs/validation/P10.md`).