How to expose environments created with Snakemake

In [Snakemake](https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#target-rules) you normally do something like this

```python
rule my_rule:
input:
"some/input"
output:
"some/output"
conda:
"a/conda/env.yml"
script:
"some/script.py"
```

when the workflow is launched a new conda env will be created under `.snakemake/conda/xxx` where `xxx` is a hash created by snakemake (kind of a name)

Now I was hoping that doing this in `.vscode/settings.json` was enough,

```json
{
....
"python-envs.workspaceSearchPaths": [".snakemake/conda/**"],
....
}
```

But then when I e.g. open a jupyter notebook from VSCode I do not see any of those envs (neither as simple envs nor as kernels as all of them have also `ipykernel` installed)

Am I missing something?

Start with the .vscode/settings.json configuration and reproduce discovery using python-envs.workspaceSearchPaths set to .snakemake/conda/**. Check how the generated Snakemake environments are handled when opening a Jupyter notebook and whether they are offered as environments or kernels. Done means the matching environments are visible in the relevant VS Code pickers.

Written by the indexing model from the issue text.