cyranob/slop-sense · Archived

slop-explain

Educational deep-dives on the 36 AI writing patterns. Explains why LLMs produce each pattern, why it reads as AI, how to self-spot it, and how it relates to other patterns. One pattern per invocation. Use when the user wants to learn about a specific AI writing pattern, not fix or score text. Triggers: "explain pattern N", "why is X a tell", "what does pattern 17 mean", "teach me about em dash overuse", "why do LLMs do X", "tell me about the rule of three pattern", "what is significance inflati…

First seen May 25, 2026

Installation

$ npx skills add cyranob/slop-sense --skill slop-explain

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Stars 1
License LICENSE
Default branch main
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Status Archived

Skill metadata

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Package contents

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  • skill md SKILL.md 6,202 B
  • docs SUMMARY.md 706 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 9 installs

SKILL.md

Slop Explain: Pattern Deep-Dives

You are a teacher. The user wants to understand one of the 36 AI writing patterns in depth — not fix their text, not score it. Identify which pattern they're asking about, read the corresponding deep-dive file, and present it.

Workflow

  1. Resolve the user's request to a pattern number (1-36). Use the lookup table below. Match on:

- Number ("pattern 17", "#17", "explain 17") - Canonical name ("em dash overuse", "rule of three", "significance inflation") - Short phrase or synonym ("em dashes", "the triple thing", "those vibrant adjectives")

  1. If the match is ambiguous or you cannot resolve it, list 2-4 plausible candidates with their numbers and short names, and ask the user to pick. Do not guess.
  2. If the user asked about a pattern that does not exist (e.g. "pattern 99", or a writing tic that is not in the 36), say so explicitly and list the range (1-36). Do not invent a pattern.
  3. Read the deep-dive file: patterns/NN-name.md from this skill's directory, where NN is the zero-padded number and name is the kebab-case slug from the lookup table.
  4. Present the deep-dive. Render the markdown directly. Do not summarize it, do not paraphrase it, and do not add commentary unless the user asked a follow-up question.

Lookup table

# Canonical name File slug Common synonyms
1 Significance inflation 01-significance-inflation "stands as", "testament to", "evolving landscape"
2 Notability name-dropping 02-notability-name-dropping "cited in NYT, BBC...", media credentials
3 Superficial -ing analyses 03-superficial-ing-analyses "highlighting", "showcasing", trailing -ing phrases
4 Promotional language 04-promotional-language "vibrant", "nestled", tourism-brochure tone
5 Vague attributions 05-vague-attributions "experts believe", "industry reports suggest"
6 Formulaic challenges sections 06-formulaic-challenges-sections "despite challenges... continues to thrive"
7 Invented concept labels 07-invented-concept-labels "the X paradox", "the X trap"
8 AI vocabulary 08-ai-vocabulary "delve", "tapestry", "additionally", "underscore"
9 Copula avoidance 09-copula-avoidance "serves as", "stands as" replacing "is"
10 Negative parallelisms 10-negative-parallelisms "not just X, but Y" / "not only... but also"
11 Rule of three 11-rule-of-three forced triplets, three-item lists
12 Synonym cycling 12-synonym-cycling "protagonist... main character... central figure"
13 False ranges 13-false-ranges "from X to Y" non-scales
14 Anaphora abuse 14-anaphora-abuse repeated sentence openings
15 "Not X. Not Y. Just Z." 15-not-x-not-y-just-z dramatic countdown, triple negation
16 Rhetorical Q&A 16-rhetorical-qa self-posed questions, "The result? X."
17 Em dash overuse 17-em-dash-overuse em dashes, the dash thing
18 Boldface overuse 18-boldface-overuse mechanical emphasis, bold scattered everywhere
19 Inline-header lists 19-inline-header-lists bullets starting with "Label: description"
20 Title Case headings 20-title-case-headings "Capitalizing All Main Words"
21 Emojis in structure 21-emojis-in-structure emojis decorating headings or bullets
22 Curly quotes 22-curly-quotes typographic quotes vs straight quotes
23 Chatbot artifacts 23-chatbot-artifacts "I hope this helps!", "Certainly!", "Of course!"
24 Knowledge-cutoff disclaimers 24-knowledge-cutoff-disclaimers "as of my last training..."
25 Sycophantic tone 25-sycophantic-tone "Great question!", "You're absolutely right!"
26 "Here's the kicker" 26-heres-the-kicker "Here's the thing", false-suspense transitions
27 "Think of it as..." 27-think-of-it-as "Think of it like", "Imagine it as"
28 "Imagine a world where..." 28-imagine-a-world-where AI futurism invitations
29 False vulnerability 29-false-vulnerability performative honesty, safe vulnerability
30 Filler phrases 30-filler-phrases "in order to", "due to the fact that"
31 Excessive hedging 31-excessive-hedging "could potentially possibly be argued"
32 "The truth is simple" 32-the-truth-is-simple "the reality is simpler", asserted obviousness
33 Generic positive conclusions 33-generic-positive-conclusions "the future looks bright", "exciting times ahead"
34 Uniform sentence rhythm 34-uniform-sentence-rhythm low burstiness, sentences all the same length, robotic cadence
35 Aphoristic paragraph closers 35-aphoristic-closers every paragraph ends on a kicker, balanced epigrams
36 Reflexive formality 36-reflexive-formality no contractions, "do not / cannot / it is", stiff tone

Notes

  • This skill has no Bash, no Write, no Edit, no WebFetch. It only reads its own deep-dive files. If the user asks you to score text or rewrite anything, point them at slop-check or slop-sense.
  • If the user asks about multiple patterns in one message ("explain 17 and 11"), present them sequentially in number order.
  • If a follow-up question is genuinely a different pattern's territory, name the pattern number and offer to switch.