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Stop slop main

Skill lornshrimp/Lorn.NovelWriteSkills/CommonSkills/通用-去AI味重写/stop-slop-main

一个面向长篇网文 / 小说创作工作流的 AI 写作资产库。它不是“随手堆提示词”的仓库，而是一套围绕 题材设计 → 大纲搭建 → 章节创作 → 审阅润色 → 多平台改写 → 质量门禁 → 分发落盘 搭起来的可复用写作系统。

Install
npx -y skills add lornshrimp/Lorn.NovelWriteSkills --skill stop-slop-main

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Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.

SKILL.md

2.6 KB, 550 tokens by cl100k_base, as published. Nobody here has run it

Stop Slop

Eliminate predictable AI writing patterns from prose.

Core Rules

  1. Cut filler phrases. Remove throat-clearing openers, emphasis crutches, and all adverbs. See references/phrases.md.

  2. Break formulaic structures. Avoid binary contrasts, negative listings, dramatic fragmentation, rhetorical setups, false agency. See references/structures.md.

  3. Use active voice. Every sentence needs a human subject doing something. No passive constructions. No inanimate objects performing human actions ("the complaint becomes a fix").

  4. Be specific. No vague declaratives ("The reasons are structural"). Name the specific thing. No lazy extremes ("every," "always," "never") doing vague work.

  5. Put the reader in the room. No narrator-from-a-distance voice. "You" beats "People." Specifics beat abstractions.

  6. Vary rhythm. Mix sentence lengths. Two items beat three. End paragraphs differently. No em dashes.

  7. Trust readers. State facts directly. Skip softening, justification, hand-holding.

  8. Cut quotables. If it sounds like a pull-quote, rewrite it.

Quick Checks

Before delivering prose:

  • Any adverbs? Kill them.
  • Any passive voice? Find the actor, make them the subject.
  • Inanimate thing doing a human verb ("the decision emerges")? Name the person.
  • Sentence starts with a Wh- word? Restructure it.
  • Any "here's what/this/that" throat-clearing? Cut to the point.
  • Any "not X, it's Y" contrasts? State Y directly.
  • Three consecutive sentences match length? Break one.
  • Paragraph ends with punchy one-liner? Vary it.
  • Em-dash anywhere? Remove it.
  • Vague declarative ("The implications are significant")? Name the specific implication.
  • Narrator-from-a-distance ("Nobody designed this")? Put the reader in the scene.
  • Meta-joiners ("The rest of this essay...")? Delete. Let the essay move.

Scoring

Rate 1-10 on each dimension:

DimensionQuestion
DirectnessStatements or announcements?
RhythmVaried or metronomic?
TrustRespects reader intelligence?
AuthenticitySounds human?
DensityAnything cuttable?

Below 35/50: revise.

Examples

See references/examples.md for before/after transformations.

License

MIT

What ships with it: 6 files

13.4 KB alongside SKILL.md

references/

Gives 0 of the 12 instructions most docs writing skills give in 550 tokens

Counted across 1,637 of the 3,044 authors here whose files we hold, read 2026-08-07

  • Announce the skill at startin 54 of 1637, across 26 files
  • Convert legacy doc files before editingin 45 of 1637, across 7 files
  • Predict questions readers might askin 42 of 1637, across 4 files
  • Generate clarifying questions for initial contextin 42 of 1637, across 3 files
  • Create document scaffold with placeholder textin 42 of 1637, across 3 files
  • Brainstorm content options for each sectionin 42 of 1637, across 3 files
  • Test the document with a fresh context-less instancein 42 of 1637, across 3 files
  • Include exact file paths in every taskin 42 of 1637, across 15 files
  • Ask interview questions one at a timein 42 of 1637, across 27 files
  • Apply surgical edits during refinementin 41 of 1637, across 2 files
  • Offer structured workflow or freeformin 40 of 1637, across 1 file
  • Ask for document meta-contextin 40 of 1637, across 2 files

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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