feat(B2): add Microsoft Word (.docx) support

Implements ROADMAP task B2 — full .docx scraping support via mammoth +
python-docx, producing SKILL.md + references/ output identical to other
source types.

New files:
- src/skill_seekers/cli/word_scraper.py — WordToSkillConverter class +
  main() entry point (~600 lines); mammoth → BeautifulSoup pipeline;
  handles headings, code detection (incl. monospace <p><br> blocks),
  tables, images, metadata extraction
- src/skill_seekers/cli/arguments/word.py — add_word_arguments() +
  WORD_ARGUMENTS dict
- src/skill_seekers/cli/parsers/word_parser.py — WordParser for unified
  CLI parser registry
- tests/test_word_scraper.py — comprehensive test suite (~300 lines)

Modified files:
- src/skill_seekers/cli/main.py — registered "word" command module
- src/skill_seekers/cli/source_detector.py — .docx auto-detection +
  _detect_word() classmethod
- src/skill_seekers/cli/create_command.py — _route_word() + --help-word
- src/skill_seekers/cli/arguments/create.py — WORD_ARGUMENTS + routing
- src/skill_seekers/cli/arguments/__init__.py — export word args
- src/skill_seekers/cli/parsers/__init__.py — register WordParser
- src/skill_seekers/cli/unified_scraper.py — _scrape_word() integration
- src/skill_seekers/cli/pdf_scraper.py — fix: real enhancement instead
  of stub; remove [:3] reference file limit; capture run_workflows return
- src/skill_seekers/cli/github_scraper.py — fix: remove arbitrary
  open_issues[:20] / closed_issues[:10] reference file limits
- pyproject.toml — skill-seekers-word entry point + docx optional dep
- tests/test_cli_parsers.py — update parser count 21→22

Bug fixes applied during real-world testing:
- Code detection: detect monospace <p><br> blocks as code (mammoth
  renders Courier paragraphs this way, not as <pre>/<code>)
- Language detector: fix wrong method name detect_from_text →
  detect_from_code
- Description inference: pass None from main() so extract_docx() can
  infer description from Word document subject/title metadata
- Bullet-point guard: exclude prose starting with •/-/* from code scoring
- Enhancement: implement real API/LOCAL enhancement (was stub)
- pip install message: add quotes around skill-seekers[docx]

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

src/skill_seekers/cli/pdf_scraper.py

@@ -319,7 +319,7 @@ class PDFToSkillConverter:
                 code_list = page.get("code_samples") or page.get("code_blocks")
                 if code_list:
                     f.write("### Code Examples\n\n")
-                    for code in code_list[:3]:  # Limit to top 3
+                    for code in code_list:
                         lang = code.get("language", "")
                         f.write(f"```{lang}\n{code['code']}\n```\n\n")
 
@@ -721,21 +721,44 @@ def main():
         # ═══════════════════════════════════════════════════════════════════════════
         # Traditional Enhancement (complements workflow system)
         # ═══════════════════════════════════════════════════════════════════════════
-        # Note: Runs independently of workflow system (they complement each other)
         if getattr(args, "enhance_level", 0) > 0:
-            # Traditional AI enhancement (API or LOCAL mode)
+            import os
+
+            api_key = getattr(args, "api_key", None) or os.environ.get("ANTHROPIC_API_KEY")
+            mode = "API" if api_key else "LOCAL"
+
             print("\n" + "=" * 80)
-            print("🤖 Traditional AI Enhancement")
+            print(f"🤖 Traditional AI Enhancement ({mode} mode, level {args.enhance_level})")
             print("=" * 80)
             if workflow_executed:
                 print(f"   Running after workflow: {workflow_name}")
                 print(
                     "   (Workflow provides specialized analysis, enhancement provides general improvements)"
                 )
-            print("   (Use --enhance-workflow for more control)")
             print("")
-            # Note: PDF scraper uses enhance_level instead of enhance/enhance_local
-            # This is consistent with the new unified enhancement system
+
+            skill_dir = converter.skill_dir
+            if api_key:
+                try:
+                    from skill_seekers.cli.enhance_skill import enhance_skill_md
+
+                    enhance_skill_md(skill_dir, api_key)
+                    print("✅ API enhancement complete!")
+                except ImportError:
+                    print("❌ API enhancement not available. Falling back to LOCAL mode...")
+                    from pathlib import Path
+                    from skill_seekers.cli.enhance_skill_local import LocalSkillEnhancer
+
+                    enhancer = LocalSkillEnhancer(Path(skill_dir))
+                    enhancer.run(headless=True)
+                    print("✅ Local enhancement complete!")
+            else:
+                from pathlib import Path
+                from skill_seekers.cli.enhance_skill_local import LocalSkillEnhancer
+
+                enhancer = LocalSkillEnhancer(Path(skill_dir))
+                enhancer.run(headless=True)
+                print("✅ Local enhancement complete!")
 
     except RuntimeError as e:
         print(f"\n❌ Error: {e}", file=sys.stderr)