AGENT SKILL

de-ai-ify

Remove AI-generated jargon and restore human voice to text

License 许可
MIT
最近更新
2026-08-23
Stars
★ 1
Forks
0

01 前言 Front Matter

name
de-ai-ify
tags
[ "writing", "editing", "voice", "ai-detection" ]
author
theflohart
version
1.0.0
description
Remove AI-generated jargon and restore human voice to text

02 资源文件 1

03 SKILL.md 正文

De-AI-ify Text

Remove AI-generated patterns and restore natural human voice to your writing.

Usage

/de-ai-ify <file_path>

What Gets Removed

1. Overused Transitions

  • "Moreover," "Furthermore," "Additionally," "Nevertheless"
  • Excessive "However" usage
  • "While X, Y" openings

2. AI Cliches

  • "In today's fast-paced world"
  • "Let's dive deep"
  • "Unlock your potential"
  • "Harness the power of"

3. Hedging Language

  • "It's important to note"
  • "It's worth mentioning"
  • Vague quantifiers: "various," "numerous," "myriad"

4. Corporate Buzzwords

  • "utilize" → "use"
  • "facilitate" → "help"
  • "optimize" → "improve"
  • "leverage" → "use"

5. Robotic Patterns

  • Rhetorical questions followed by immediate answers
  • Obsessive parallel structures
  • Always using exactly three examples
  • Announcement of emphasis

What Gets Added

Natural Voice

  • Varied sentence lengths
  • Conversational tone
  • Direct statements
  • Specific examples

Human Rhythm

  • Natural transitions
  • Confident assertions
  • Personal perspective
  • Authentic phrasing

Process

  1. Read original file
  2. Create copy with "-HUMAN" suffix
  3. Apply de-AI-ification
  4. Provide change log

Output

You'll get:

  • A new file with natural human voice
  • Change log showing what was fixed
  • List of places needing specific examples

Example Transformations

Before (AI): "In today's rapidly evolving digital landscape, it's crucial to understand that leveraging AI effectively isn't just about utilizing cutting-edge technology—it's about harnessing its transformative potential to unlock unprecedented opportunities."

After (Human): "AI works best when you use it for specific tasks. Focus on what it does well: writing code, analyzing data, and answering questions."

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