SkillsAdd

modelscope.cn

stop-slop

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

Installation

$ npx skills add https://modelscope.cn
View on skills.sh ↗ Website ↗

Also in this package

Other skills from modelscope.cn · top by installs.

npx skills add https://modelscope.cn
skill-creator 2K frontend-design 1.9K pptx-generator 1.3K minimax-docx 1.2K find-skills 1.1K minimax-xlsx 1.2K minimax-pdf 1.2K docx 942 self-improvement 932 pdf 914

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,555 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Stop Slop

Eliminate predictable AI writing patterns from prose.

Core Rules

  1. Cut filler phrases. Remove throat-clearing openers and emphasis crutches. See [references/phrases.md](references/phrases.md).
  1. Break formulaic structures. Avoid binary contrasts, dramatic fragmentation, rhetorical setups. See [references/structures.md](references/structures.md).
  1. Vary rhythm. Mix sentence lengths. Two items beat three. End paragraphs differently.
  1. Trust readers. State facts directly. Skip softening, justification, hand-holding.
  1. Cut quotables. If it sounds like a pull-quote, rewrite it.

Quick Checks

Before delivering prose:

  • Three consecutive sentences match length? Break one.
  • Paragraph ends with punchy one-liner? Vary it.
  • Em-dash before a reveal? Remove it.
  • Explaining a metaphor? Trust it to land.

Scoring

Rate 1-10 on each dimension:

Dimension Question
Directness Statements or announcements?
Rhythm Varied or metronomic?
Trust Respects reader intelligence?
Authenticity Sounds human?
Density Anything cuttable?

Below 35/50: revise.

Examples

See [references/examples.md](references/examples.md) for before/after transformations.

License

MIT