A checklist for stripping AI fingerprints from text. It catches the usual suspects: significance inflation, em dash addiction, "delve" and "landscape" and "testament," plus structural tells like inline-header lists and Title Case Everything. The second half matters more than the first. Removing clichés leaves you with bland, correct prose that still sounds like a bot. The fix is adding opinion, varying sentence rhythm, and saying concrete things instead of wrapping simple points in abstract framing. Works as both a post-draft editing pass and a way to train yourself out of these patterns if you're using LLMs to draft. Honestly, if you write with AI assistance at all, you need this running by default.

install copies · 90 days. Times the install command was copied on this site in the last 90 days, bots filtered.
15
skills.sh installs
34.1K
GitHub stars
15.9K
last updated
Aug 21, 2026

Install

$ npx -y skills add cursor/plugins --skill unslop --agent claude-code

Installs into .claude/skills of the current project.

Files

Unslop

Edit text to remove AI patterns. Scan for the patterns below, then rewrite. Preserve meaning and match the intended tone.

Patterns to detect and fix

Rule numbers are stable ids that other skills cite. A removed rule leaves a gap.

Content

  1. Superficial -ing phrases. "highlighting...", "ensuring...", "reflecting...", "showcasing...", "fostering...". Delete or expand with real sources.
  2. Vague attributions. "Experts believe", "Industry reports suggest", "Some critics argue". Name the source or delete.

Language

Sponsors

Details

Repository
github.com/cursor/plugins
Category
Documentation
First seen
Jun 23, 2026

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