feat: support multiple --enhance-workflow flags with shared workflow_runner

- Change --enhance-workflow from type:str to action:append in all argument
  files (workflow, create, scrape, github, pdf) so the flag can be given
  multiple times to chain workflows in sequence
- Add workflow_runner.py: shared utility used by all 4 scrapers
  - collect_workflow_vars(): merges extra context then user --var flags
    (user flags take precedence over scraper metadata)
  - run_workflows(): executes named workflows in order, then any inline
    --enhance-stage workflow; handles dry-run/preview mode
- Remove duplicate ~115-130 line workflow blocks from doc_scraper,
  github_scraper, pdf_scraper, and codebase_scraper; replace with
  single run_workflows() call each
- Remove mutual exclusivity between workflows and AI enhancement:
  workflows now run first, then traditional enhancement continues
  independently (--enhance-level 0 to disable)
- Add tests/test_workflow_runner.py: 21 tests covering no-flags, single
  workflow, multiple/chained workflows, inline stages, mixed mode,
  variable precedence, and dry-run
- Fix test_markdown_parsing: accept "text" or "unknown" for unlabelled
  code blocks (unified MarkdownParser returns "text" by default)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

src/skill_seekers/cli/github_scraper.py

@@ -1425,7 +1425,23 @@ def main():
         skill_name = config.get("name", config["repo"].split("/")[-1])
         skill_dir = f"output/{skill_name}"
 
+        # ============================================================
+        # WORKFLOW SYSTEM INTEGRATION (Phase 2 - github_scraper)
+        # ============================================================
+        from skill_seekers.cli.workflow_runner import run_workflows
+
+        # Pass GitHub-specific context to workflows
+        github_context = {
+            "repo": config.get("repo", ""),
+            "name": skill_name,
+            "description": config.get("description", ""),
+        }
+
+        workflow_executed, workflow_names = run_workflows(args, context=github_context)
+        workflow_name = ", ".join(workflow_names) if workflow_names else None
+
         # Phase 3: Optional enhancement with auto-detected mode
+        # Note: Runs independently of workflow system (they complement each other)
         if getattr(args, "enhance_level", 0) > 0:
             import os
 
@@ -1433,9 +1449,13 @@ def main():
             api_key = args.api_key or os.environ.get("ANTHROPIC_API_KEY")
             mode = "API" if api_key else "LOCAL"
 
-            logger.info(
-                f"\n📝 Enhancing SKILL.md with Claude ({mode} mode, level {args.enhance_level})..."
-            )
+            logger.info("\n" + "=" * 80)
+            logger.info(f"🤖 Traditional AI Enhancement ({mode} mode, level {args.enhance_level})")
+            logger.info("=" * 80)
+            if workflow_executed:
+                logger.info(f"   Running after workflow: {workflow_name}")
+                logger.info("   (Workflow provides specialized analysis, enhancement provides general improvements)")
+            logger.info("")
 
             if api_key:
                 # API-based enhancement
@@ -1465,10 +1485,13 @@ def main():
 
         logger.info(f"\n✅ Success! Skill created at: {skill_dir}/")
 
-        if getattr(args, "enhance_level", 0) == 0:
+        # Only suggest enhancement if neither workflow nor traditional enhancement was done
+        if not workflow_executed and getattr(args, "enhance_level", 0) == 0:
             logger.info("\n💡 Optional: Enhance SKILL.md with Claude:")
             logger.info(f"  skill-seekers enhance {skill_dir}/ --enhance-level 2")
             logger.info("  (auto-detects API vs LOCAL mode based on ANTHROPIC_API_KEY)")
+            logger.info("\n💡 Or use a workflow:")
+            logger.info(f"  skill-seekers github --repo {config['repo']} --enhance-workflow architecture-comprehensive")
 
         logger.info(f"\nNext step: skill-seekers package {skill_dir}/")