diff --git a/README.md b/README.md
index 4b64359..a651289 100644
--- a/README.md
+++ b/README.md
@@ -46,7 +46,7 @@ The skill also includes a final "obviously AI generated" audit pass and a second
 
 > "LLMs use statistical algorithms to guess what should come next. The result tends toward the most statistically likely result that applies to the widest variety of cases."
 
-## 24 Patterns Detected (with Before/After Examples)
+## 25 Patterns Detected (with Before/After Examples)
 
 ### Content Patterns
 
@@ -79,7 +79,8 @@ The skill also includes a final "obviously AI generated" audit pass and a second
 | 15 | **Inline-header lists** | "**Performance:** Performance improved" | Convert to prose |
 | 16 | **Title Case Headings** | "Strategic Negotiations And Partnerships" | "Strategic negotiations and partnerships" |
 | 17 | **Emojis** | "🚀 Launch Phase: 💡 Key Insight:" | Remove emojis |
-| 18 | **Curly quotes** | `said “the project”` | `said "the project"` |
+| 18 | **Curly quotes** | `said “the project”` | `said “the project”` |
+| 25 | **Hyphenated word pairs** | “cross-functional, data-driven, client-facing” | Drop hyphens on common word pairs |
 
 ### Communication Patterns
 
@@ -132,6 +133,7 @@ The skill also includes a final "obviously AI generated" audit pass and a second
 
 ## Version History
 
+- **2.3.0** - Added pattern #25: hyphenated word pair overuse
 - **2.2.0** - Added a final "obviously AI generated" audit + second-pass rewrite prompts
 - **2.1.1** - Fixed pattern #18 example (curly quotes vs straight quotes)
 - **2.1.0** - Added before/after examples for all 24 patterns
diff --git a/SKILL.md b/SKILL.md
index 656b2f5..625d329 100644
--- a/SKILL.md
+++ b/SKILL.md
@@ -1,6 +1,6 @@
 ---
 name: humanizer
-version: 2.2.0
+version: 2.3.0
 description: |
   Remove signs of AI-generated writing from text. Use when editing or reviewing
   text to make it sound more natural and human-written. Based on Wikipedia's
@@ -390,6 +390,20 @@ Avoiding AI patterns is only half the job. Sterile, voiceless writing is just as
 
 ---
 
+### 25. Hyphenated Word Pair Overuse
+
+**Words to watch:** third-party, cross-functional, client-facing, data-driven, decision-making, well-known, high-quality, real-time, long-term, end-to-end
+
+**Problem:** AI hyphenates common word pairs with perfect consistency. Humans rarely hyphenate these uniformly, and when they do, it's inconsistent. Less common or technical compound modifiers are fine to hyphenate.
+
+**Before:**
+> The cross-functional team delivered a high-quality, data-driven report on our client-facing tools. Their decision-making process was well-known for being thorough and detail-oriented.
+
+**After:**
+> The cross functional team delivered a high quality, data driven report on our client facing tools. Their decision making process was known for being thorough and detail oriented.
+
+---
+
 ## Process
 
 1. Read the input text carefully