feat: refresh shared skills catalog
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@@ -12,7 +12,7 @@ When the text only exists in conversation, apply each pattern by hand. A match i
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## 1. Negative parallelism — the "not X but Y" family
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The highest-priority category. LLMs reach for the negation-then-assertion move roughly once a paragraph; humans use it occasionally and deliberately. It is an emergent generative habit, so expect it to reappear in paraphrased form after every rewrite pass — that is why the scan loops.
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The highest-priority category. LLMs reach for the negation-then-assertion move roughly once a paragraph; humans use it occasionally and deliberately. It is an emergent generative habit, so expect it to reappear in paraphrased form after every rewrite pass — a targeted rescan may help after a substantial rewrite.
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```
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not (just|only|merely|simply|solely) [^.;]{2,80}(but|it'?s| — )
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@@ -123,7 +123,7 @@ Triage by hand: if you can name a meaningful midpoint, it's a real range and sta
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\b(\w+ \w+), (\w+ \w+), and (\w+ \w+)
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```
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Triage: keep the strongest item, cut the rest — or keep all three only if each carries distinct information, and then break the rhythm.
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Triage: retain every distinct useful item. Remove only repetition or filler; no fixed list-length or rhythm quota.
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## 5. Punctuation and formatting
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@@ -148,7 +148,7 @@ Other formatting tells (check by hand; most regexes here are layout-dependent):
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No regex; measure or eyeball.
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- **Uniform sentence length** (the single strongest current tell): a run of 3+ consecutive sentences within ±4 words of each other, paragraph after paragraph of 18–24-word sentences. Quick measurement on a file:
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- **Uniform sentence length** (the single strongest current tell): a run of 3+ consecutive sentences within ±4 words of each other, paragraph after paragraph of 18–24-word sentences. Optional diagnostic on a file (not a completion gate):
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```bash
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tr '\n' ' ' < draft.txt | sed 's/[.!?] /\n/g' | awk '{print NF}'
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@@ -1,6 +1,6 @@
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# Register Guide
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What "good" means per genre, what tells are fatal there, and what the de-slopped text should sound like. Use in Phase 0 (fix the target) and Phase 4 (register check). Two universal rules first:
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What "good" means per genre, what tells are fatal there, and what the de-slopped text should sound like. Read the relevant profile when the target venue needs it. Two universal rules first:
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1. **Voice comes from commitment, not decoration.** A text sounds human when it asserts specific things a specific person believes, at the level of detail only someone who did the work would know. Slang, typos, and "personality" sprinkled on top do not produce this and read as humanizer-tool output.
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2. **Match the author, not a persona.** If the user supplied earlier writing or a draft with their own phrasing in it, keep their words wherever they survive the scan. De-slopping someone into a generic "casual" voice is just different slop.
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