docs(help): the missing-words prompt named a file the engine does not write

Help/markdown/vscode/prompts/05-missing-words.md

@@ -1,12 +1,12 @@
 Add missing words to the English dictionary
-<!-- desc: Reads missing_words.txt from the analyzer's output log and, for each genuine word, adds a properly featured entry (part of speech, root, verb/noun features) to en-full.dict and en-full.kbb — keeping both alphabetized with identical headword sets. -->
+<!-- desc: Reads missing-words.log from the analyzer's output log and, for each genuine word, adds a properly featured entry (part of speech, root, verb/noun features) to en-full.dict and en-full.kbb — keeping both alphabetized with identical headword sets. -->
 I want you to extend the full English dictionary from the missing words an analyzer collected. Everything you need is on this machine at the paths below:
 
 - Current analyzer (its output log holds the missing-words list): {{currentAnalyzer}}
 - Shared language dictionaries / KBs (the English full dictionary lives here): {{languagesDir}}
 - NLP engine executable (to re-run and verify): {{engineExe}}
 
-The missing-words list: find **missing_words.txt** in the analyzer's output — check the analyzer's `output/` folder first, then the per-input logs under `input/<file>.txt_log/`. It is a plain list of words the analyzer did not find in the dictionary (one word per line; if a line carries a count or other columns, use only the word). De-duplicate and lowercase the words before processing.
+The missing-words list: find **missing-words.log** in the analyzer's output — the engine writes one per input, at `input/<file>.txt_log/missing-words.log`. It is a plain list of words the analyzer did not find in the dictionary (one word per line; if a line carries a count or other columns, use only the word). De-duplicate and lowercase the words before processing.
 
 The two files to edit (both under `{{languagesDir}}/English/`):
 
@@ -48,11 +48,11 @@ Note: in en-full.dict the verb readings collapse to one line per (word, pos) wit
 Precision — this dictionary should stay clean:
 
 - Skip words that are already present (check both files first).
-- Add genuine words only. If the list contains obvious noise — typos, fragments, single letters, run-together tokens, or proper nouns — do NOT pollute the dictionary with them. Collect those in a separate `missing_words_skipped.txt` (with a one-line reason each) so I can review them.
+- Add genuine words only. If the list contains obvious noise — typos, fragments, single letters, run-together tokens, or proper nouns — do NOT pollute the dictionary with them. Collect those in a separate `missing-words-skipped.txt` (with a one-line reason each) so I can review them.
 - If a word is a plural/inflection whose base is not yet in the dictionary, add the base entry too so every `root=` resolves.
 
 When done:
 
 - Show me a summary: how many words added, broken down by part of speech, and the skipped list.
-- Re-run the analyzer over its inputs with the engine executable and confirm the previously missing words are now recognized (the new missing_words.txt should be shorter).
+- Re-run the analyzer over its inputs with the engine executable and confirm the previously missing words are now recognized (the new missing-words.log should be shorter).
 - Note: these two files are generated from `en-full-feat.dict` (the featured source of truth in the same directory). If it is present, add the same featured entry there as well so the additions survive a future regeneration.