Perhaps not! Good eye, @TW_Tones!
I admit that I was assuming that it was, simply because of how OP @Lamnatos drafted the list-widget contents (since I didn’t see why else OP would have written {{!!kind}} and expected it to work).
But kind does NOT seem to have been defined as a field in the supplied downloadable json. And if kind is not a field, then the only way to access it is by looking at a tiddler’s tags and seeing which of those tags in turn carries the kind tag (which of course could in theory yield multiple positive results). So, something like the <<kind>> variable reference (or some filter expression that outputs the same thing) is the only way to access it, with the data structure as it stands.
For what it’s worth (addressing @Lamnatos here), my impression is that using tags is fast-and-easy when setting up a wiki for the first time, but to the extent a particular tag like “coffee” is really representing a structurally defined parameter (such as kind), and if a wiki is expected to grow in size and complexity, then using a named field for each important parameter may come to make sense.
Otherwise, as the wiki grows, the tag field may be asked to carry a wide array of signals — category-kinds (such as coffee) but also season-kinds (such as winter and summer) and source-kinds (import and domestic) and tasting-notes like “bitter” and ethnic-food associations “French” or “Thai” and in-stock vs out-of-stock and premium or economy (etc.) — in which case tagging all the tags, and having filters parse the extended list of tags to isolate those tags that are themselves tagged “kind” (or whatever else is doing the work relevant to your purposes here and now)… gets to be a headache.
But tags are indeed convenient, colorful, and user-friendly! And TiddlyWiki is designed to handle them efficiently.
And with a tool such as Commander available, people don’t have to worry as much about getting the ideal structure from the beginning. Make a basic TiddlyWiki, and then refactor it for greater power as needed. (And ask for further guidance, if you do find yourself crossing that bridge and want to create an optimal data-structure.
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