diff --git a/skills/productivity/ocr-and-documents/SKILL.md b/skills/productivity/ocr-and-documents/SKILL.md
index cbbc07aad..2fdf4ea41 100644
--- a/skills/productivity/ocr-and-documents/SKILL.md
+++ b/skills/productivity/ocr-and-documents/SKILL.md
@@ -122,6 +122,44 @@ web_extract(urls=["https://arxiv.org/pdf/2402.03300"])
 web_search(query="arxiv GRPO reinforcement learning 2026")
 ```
 
+## Split, Merge & Search
+
+pymupdf handles these natively — use `execute_code` or inline Python:
+
+```python
+# Split: extract pages 1-5 to a new PDF
+import pymupdf
+doc = pymupdf.open("report.pdf")
+new = pymupdf.open()
+for i in range(5):
+    new.insert_pdf(doc, from_page=i, to_page=i)
+new.save("pages_1-5.pdf")
+```
+
+```python
+# Merge multiple PDFs
+import pymupdf
+result = pymupdf.open()
+for path in ["a.pdf", "b.pdf", "c.pdf"]:
+    result.insert_pdf(pymupdf.open(path))
+result.save("merged.pdf")
+```
+
+```python
+# Search for text across all pages
+import pymupdf
+doc = pymupdf.open("report.pdf")
+for i, page in enumerate(doc):
+    results = page.search_for("revenue")
+    if results:
+        print(f"Page {i+1}: {len(results)} match(es)")
+        print(page.get_text("text"))
+```
+
+No extra dependencies needed — pymupdf covers split, merge, search, and text extraction in one package.
+
+---
+
 ## Notes
 
 - `web_extract` is always first choice for URLs