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

core/obsidian.py

@@ -22,18 +22,20 @@ def save_note(
     source_url: str = "",
     author: str = "",
     date: str = "",
+    summary_ko: str = "",
 ) -> Path:
     """Save a processed knowledge item as an Obsidian markdown file.
 
     Args:
         content_type: One of 'youtube', 'url', 'text'.
         title: The note title.
-        summary: LLM-generated summary.
+        summary: LLM-generated summary in English.
         body: Full content text.
         tags: List of topic tags.
         source_url: Original URL (empty for plain text).
         author: Author name (may be empty).
         date: Publication date in ISO 8601 format (may be empty).
+        summary_ko: Korean translation of the summary (may be empty).
 
     Returns:
         Path of the created markdown file.
@@ -59,6 +61,8 @@ def save_note(
     # Build YAML frontmatter tags
     tags_yaml = ", ".join(tags) if tags else ""
 
+    summary_section = f"## 요약\n{summary_ko}\n\n*(English)*\n{summary}" if summary_ko else f"## 요약\n{summary}"
+
     content = f"""---
 title: {title}
 source_type: {content_type}
@@ -71,8 +75,7 @@ created: {today}
 
 # {title}
 
-## 요약
-{summary}
+{summary_section}
 
 ## 원문
 {body}