docs: salvage focused stale PR contributions

- add Vite and Redis pattern skills from closed stale PRs

- add frontend-slides support assets

- port skill-comply runner fixes and LLM prompt/provider regressions

- harden agent frontmatter validation and sync catalog counts

skills/frontend-slides/scripts/extract-pptx.py

@@ -0,0 +1,96 @@
+#!/usr/bin/env python3
+"""
+Extract all content from a PowerPoint file (.pptx).
+Returns a JSON structure with slides, text, and images.
+
+Usage:
+    python extract-pptx.py <input.pptx> [output_dir]
+
+Requires: pip install python-pptx
+"""
+
+import json
+import os
+import sys
+from pptx import Presentation
+
+
+def extract_pptx(file_path, output_dir="."):
+    """
+    Extract all content from a PowerPoint file.
+    Returns a list of slide data dicts with text, images, and notes.
+    """
+    prs = Presentation(file_path)
+    slides_data = []
+
+    # Create assets directory for extracted images
+    assets_dir = os.path.join(output_dir, "assets")
+    os.makedirs(assets_dir, exist_ok=True)
+
+    for slide_num, slide in enumerate(prs.slides):
+        slide_data = {
+            "number": slide_num + 1,
+            "title": "",
+            "content": [],
+            "images": [],
+            "notes": "",
+        }
+
+        for shape in slide.shapes:
+            # Extract text content
+            if shape.has_text_frame:
+                if shape == slide.shapes.title:
+                    slide_data["title"] = shape.text
+                else:
+                    slide_data["content"].append(
+                        {"type": "text", "content": shape.text}
+                    )
+
+            # Extract images
+            if shape.shape_type == 13:  # Picture type
+                image = shape.image
+                image_bytes = image.blob
+                image_ext = image.ext
+                image_name = f"slide{slide_num + 1}_img{len(slide_data['images']) + 1}.{image_ext}"
+                image_path = os.path.join(assets_dir, image_name)
+
+                with open(image_path, "wb") as f:
+                    f.write(image_bytes)
+
+                slide_data["images"].append(
+                    {
+                        "path": f"assets/{image_name}",
+                        "width": shape.width,
+                        "height": shape.height,
+                    }
+                )
+
+        # Extract speaker notes
+        if slide.has_notes_slide:
+            notes_frame = slide.notes_slide.notes_text_frame
+            slide_data["notes"] = notes_frame.text
+
+        slides_data.append(slide_data)
+
+    return slides_data
+
+
+if __name__ == "__main__":
+    if len(sys.argv) < 2:
+        print("Usage: python extract-pptx.py <input.pptx> [output_dir]")
+        sys.exit(1)
+
+    input_file = sys.argv[1]
+    output_dir = sys.argv[2] if len(sys.argv) > 2 else "."
+
+    slides = extract_pptx(input_file, output_dir)
+
+    # Write extracted data as JSON
+    output_path = os.path.join(output_dir, "extracted-slides.json")
+    with open(output_path, "w") as f:
+        json.dump(slides, f, indent=2)
+
+    print(f"Extracted {len(slides)} slides to {output_path}")
+    for s in slides:
+        img_count = len(s["images"])
+        print(f"  Slide {s['number']}: {s['title'] or '(no title)'} — {img_count} image(s)")