Based on my prior knowledge, I will assume that higher values of SkinThickness may indicate a higher likelihood of diabetes. However, it is important to note that this assumption should be verified through data analysis.

To create the dictionary, I will analyze the relationship between the feature SkinThickness and the target variable "Does this person have diabetes?" by examining typical values of SkinThickness for each target class.

Based on the assumption mentioned earlier, I will consider higher values of SkinThickness to be indicative of the target class "yes" (person has diabetes). Conversely, lower values of SkinThickness will be considered indicative of the target class "no" (person does not have diabetes).

Here is the dictionary with the requested information:

```json
{
    "yes": [30.0, 35.0, 40.0, 45.0, 50.0],
    "no": [10.0, 15.0, 20.0, 25.0, 28.0]
}
```

Please note that the values provided in the dictionary are arbitrary examples and may vary depending on the specific dataset used for analysis.