Flatten skill category directory structure

audio-creation/audiobook/scripts/generate_chapter_script.py

@@ -0,0 +1,35 @@
+#!/usr/bin/env python3
+"""Phase 2: Generate chapter_N.md from segments.json (with pause markers already added).
+
+Usage: python3 scripts/generate_chapter_script.py <chapter_number>
+
+Reads segments.json (which LLM has already updated with <#X#> pause markers)
+and writes chapter_N.md with voice headers directly from the voice field.
+"""
+import json, sys, os
+from pathlib import Path
+
+PROJECT_DIR = Path(os.getcwd())
+AUDIOBOOK_ROOT = PROJECT_DIR / ".audiobook"
+BOOK_DIR = next(d for d in sorted(AUDIOBOOK_ROOT.iterdir()) if d.is_dir() and (d / ".audiobook-state.json").exists())
+
+CHAPTER_N = int(sys.argv[1]) if len(sys.argv) > 1 else 1
+
+segments_path = BOOK_DIR / "analysis" / f"chapter_{CHAPTER_N}" / "segments.json"
+script_path = BOOK_DIR / "scripts" / f"chapter_{CHAPTER_N}.md"
+script_path.parent.mkdir(parents=True, exist_ok=True)
+
+segments = json.loads(segments_path.read_text(encoding="utf-8"))
+
+lines = []
+for seg in segments:
+    lines.append("---segment---")
+    lines.append(f"type: {seg['type']}")
+    lines.append(f"voice: {seg['voice']}")  # Directly from segments.json
+    lines.append("")
+    lines.append(seg["text"])
+    lines.append("")
+
+script_path.write_text("\n".join(lines), encoding="utf-8")
+print(f"Chapter script written: {script_path}")
+print(f"  {len(segments)} segments, voices: {set(s['voice'] for s in segments)}")