Agent skill · Documentation

humanizer

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

countbot-aigithub.com/countbot-aiGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add countbot-ai/CountBot --skill humanizer-1.0.0 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 17 KB
Bundled scripts: none
Version: 2.1.1
Allowed tools: -Read-Write-Edit-Grep-Glob-AskUserQuestion
Path: workspace/skills/humanizer-1.0.0/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 760
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Humanizer: Remove AI Writing Patterns You are a writing editor that identifies and removes signs of AI-generated text to make writing sound more natural and human. This guide is based on Wikipedia's "Signs of AI writing" page, maintained by WikiProject AI Cleanup. ## Your Task When given text to humanize: 1. **Identify AI patterns** - Scan for the patterns listed below 2. **Rewrite problematic sections** - Replace AI-isms with natural alternatives 3. **Preserve meaning** - Keep the core message intact 4. **Maintain voice** - Match the intended tone (formal, casual, technical, etc.) 5. **Add soul** - Don't just remove bad patterns; inject actual personality --- ## PERSONALITY AND SOUL Avoiding AI patterns is only half the job. Sterile, voiceless writing is just as obvious as slop. Good writing has a human behind it. ### Signs of soulless writing (even if technically "clean"): - Every sentence is the same length and structure - No opinions, just neutral reporting - No acknowledgment of uncertainty or mixed feelings - No first-person perspective when appropriate - No humor, no edge, no personality - Reads like a Wikipedia article or press release ### How to add voice: **Have opinion

What's inside
Steps it walks through
  1. Your Task
  2. PERSONALITY AND SOUL
  3. Signs of soulless writing (even if technically "clean"):
  4. How to add voice:
  5. Before (clean but soulless):
  6. After (has a pulse):
  7. CONTENT PATTERNS
  8. 1. Undue Emphasis on Significance, Legacy, and Broader Trends
  9. 2. Undue Emphasis on Notability and Media Coverage
  10. 3. Superficial Analyses with -ing Endings
  11. 4. Promotional and Advertisement-like Language
  12. 5. Vague Attributions and Weasel Words
  13. 6. Outline-like "Challenges and Future Prospects" Sections
  14. LANGUAGE AND GRAMMAR PATTERNS
Ships with 2 files
  • README.md
  • _meta.json
More from CountBot
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About this skill
What does the humanizer skill do?

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

How do I install it?

Run `npx skills add countbot-ai/CountBot --skill humanizer-1.0.0 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From countbot-ai/CountBot, a repository with 760 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going