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feat: add hyphenated word pair overuse pattern (#42) #56

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feat: add hyphenated word pair overuse pattern (#42) #56

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6 changes: 4 additions & 2 deletions README.md
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Expand Up @@ -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

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| 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

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## 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
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16 changes: 15 additions & 1 deletion SKILL.md
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@@ -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
Expand Down Expand Up @@ -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
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