diff --git a/kb_pipeline/pipeline.py b/kb_pipeline/pipeline.py
index 8088662..016a780 100644
--- a/kb_pipeline/pipeline.py
+++ b/kb_pipeline/pipeline.py
@@ -153,7 +153,25 @@ class Pipeline:
 
             # Check if step should be skipped
             if self.config.skip_completed and state.is_step_completed(step_name):
-                logger.info(f"Skipping completed step: {step_name}")
+                # Ask user whether to re-run the completed step
+                should_rerun = self._ask_rerun_step(step_name, content_dir)
+
+                if should_rerun:
+                    logger.info(f"Re-running completed step: {step_name}")
+                    # Clear the step's state record so it can be re-executed
+                    if step_name in state.steps:
+                        del state.steps[step_name]
+                        state_manager.save(state)
+                else:
+                    logger.info(f"Skipping completed step: {step_name}")
+                    # Scan existing files and populate results for skipped steps
+                    self._populate_skipped_step_results(step_name, results, content_dir, parsed)
+                    continue
+
+            # Skip ASR for text-based content types
+            text_content_types = {"article", "answer", "zhuanlan", "question"}
+            if step_name == "asr" and parsed.content_type in text_content_types:
+                logger.info(f"Skipping ASR for text content type: {parsed.content_type}")
                 continue
 
             processor = self.processors[step_name]
@@ -180,6 +198,7 @@ class Pipeline:
                         platform=parsed.platform,
                         content_dir=str(content_dir),
                         content_type=parsed.content_type,
+                        source_url=url,
                     )
                 elif step_name == "asr":
                     # ASR needs video path from download step
@@ -266,3 +285,102 @@ class Pipeline:
             results=results,
             content_dir=content_dir,
         )
+
+    def _ask_rerun_step(self, step_name: str, content_dir: Path) -> bool:
+        """Ask user whether to re-run a completed step.
+
+        Args:
+            step_name: Name of the step to potentially re-run
+            content_dir: Content directory path
+
+        Returns:
+            True if user wants to re-run, False to skip
+        """
+        try:
+            from rich.console import Console
+            from rich.prompt import Confirm
+
+            console = Console()
+            return Confirm.ask(
+                f"Step '{step_name}' is already completed. Re-run it?",
+                default=False
+            )
+        except ImportError:
+            # Fallback to basic input if rich is not available
+            response = input(f"Step '{step_name}' is already completed. Re-run it? [y/N] ")
+            return response.lower() in ('y', 'yes')
+
+    def _populate_skipped_step_results(
+        self,
+        step_name: str,
+        results: Dict,
+        content_dir: Path,
+        parsed: ParsedLink
+    ) -> None:
+        """Populate results for skipped steps by scanning existing files.
+
+        This ensures downstream steps can find the outputs they need,
+        even when a step is skipped.
+
+        Args:
+            step_name: Name of the skipped step
+            results: Results dictionary to populate
+            content_dir: Content directory path
+            parsed: Parsed link with platform and content_id
+        """
+        if step_name == "asr":
+            # Scan for subtitle files generated by ASR
+            # Try both new naming convention (with _subtitle suffix) and old convention (without suffix)
+            base_name_new = f"{parsed.platform}_{parsed.content_id}_subtitle"
+            base_name_old = f"{parsed.platform}_{parsed.content_id}"
+
+            json_path = content_dir / f"{base_name_new}.json"
+            if not json_path.exists():
+                json_path = content_dir / f"{base_name_old}.json"
+
+            srt_path = content_dir / f"{base_name_new}.srt"
+            if not srt_path.exists():
+                srt_path = content_dir / f"{base_name_old}.srt"
+
+            output_files = {}
+            if json_path.exists():
+                output_files["json"] = str(json_path)
+            if srt_path.exists():
+                output_files["srt"] = str(srt_path)
+
+            if output_files:
+                results["asr"] = {
+                    "success": True,
+                    "error_message": None,
+                    "output_files": output_files,
+                }
+                logger.info(f"Found existing ASR outputs: {output_files}")
+            else:
+                logger.warning(f"No existing ASR outputs found in {content_dir}")
+                results["asr"] = {
+                    "success": False,
+                    "error_message": "No existing subtitle files found",
+                    "output_files": {},
+                }
+
+        elif step_name == "download":
+            # Scan for metadata file
+            metadata_path = content_dir / "metadata.json"
+            if metadata_path.exists():
+                results["download"] = {
+                    "success": True,
+                    "error_message": None,
+                    "metadata_file": str(metadata_path),
+                }
+                logger.info(f"Found existing download metadata: {metadata_path}")
+
+        elif step_name == "analyze":
+            # Scan for analysis output
+            analysis_path = content_dir / "analysis.md"
+            if analysis_path.exists():
+                results["analyze"] = {
+                    "success": True,
+                    "error_message": None,
+                    "analysis_file": str(analysis_path),
+                }
+                logger.info(f"Found existing analysis: {analysis_path}")