A sophisticated writing editor that identifies and removes mechanical AI-generated patterns to produce natural, human-sounding text.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install humanizer-conflict
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install humanizer-conflict using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Humanizer skill is a specialized utility designed to bridge the gap between sterile AI outputs and authentic human communication. Based on the comprehensive research from Wikipedia's AI Cleanup project, this skill targets the statistical tells that make LLM-generated content feel unearned or robotic. It serves as a vital component for those using Openclaw Skills to ensure their output maintains a high standard of readability and personality.
Beyond simple editing, the skill focuses on injecting soul into writing by varying sentence rhythm, adding specific opinions, and removing the inflated symbolism that often plagues raw AI drafts. It transforms generic summaries into sharp, actionable, and engaging content that resonates with human readers.
To integrate the Humanizer skill into your development environment, ensure you have an active agent capable of file manipulation. Use the following command to initialize the skill within your project directory:
# Install the Humanizer skill via the CLI
openclaw install humanizer
# Run the humanizer on a specific file
openclaw run humanizer --input draft.md --output final.md
The Humanizer skill processes text through a structured taxonomy of patterns. It categorizes its edits into the following data schema:
| Category | Patterns Monitored |
|---|---|
| Content | Significance bloat, weasel words, promotional language |
| Language | AI frequency words (delve, tapestry, foster), copula avoidance |
| Style | Em dash overuse, boldface mechanics, inline-header lists |
| Communication | Chatbot artifacts, sychophantic tone, generic conclusions |
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