feat: add English vocab extraction and Anki card registration

- core/vocab.py: extract B1-B2 level vocabulary from English content via Gemini Flash
- core/anki.py: register vocab cards to AnkiConnect (English::Vocabulary deck)
- core/enricher.py: add language detection field + summary_ko (Korean summary)
- core/obsidian.py: render Korean + English summary in note
- daemon/worker.py: call vocab extraction and Anki registration for English content

daemon/worker.py

@@ -4,11 +4,13 @@ import logging
 import os
 import time
 
+from core.anki import add_vocab_cards
 from core.chunker import chunk_text
 from core.enricher import enrich
 from core.obsidian import save_note
 from core.queue_db import fetch_pending, set_done, set_error, set_processing
 from core.vector import save_to_vector
+from core.vocab import extract_vocab
 from core.web import fetch_page_text
 from core.youtube import get_transcript
 
@@ -62,6 +64,7 @@ def process_item(item: dict) -> None:
             source_url=url,
             author=meta.get("author") or "",
             date=meta.get("date") or "",
+            summary_ko=meta.get("summary_ko", ""),
         )
         logger.info("Obsidian note saved: %s", note_path)
 
@@ -70,6 +73,12 @@ def process_item(item: dict) -> None:
         inserted = save_to_vector(doc_id, chunks)
         logger.info("Vector store: inserted %d chunks for doc_id=%s", len(inserted), doc_id)
 
+        # Add Anki vocabulary cards for English content
+        if meta.get("language", "").startswith("en"):
+            vocab = extract_vocab(text, title)
+            if vocab:
+                add_vocab_cards(vocab, source_title=title)
+
         set_done(row_id, title, meta)
         logger.info("Done: %s → %s", row_id[:8], title[:60])