A professional-grade content refinement tool that detects and eliminates 34 distinct AI writing patterns while injecting personality and soul into drafts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install humanizer-enhanced
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install humanizer-enhanced using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Humanizer Enhanced?
Humanizer Enhanced is a specialized tool designed to transform sterile AI-generated text into engaging, human-sounding content. By utilizing a sophisticated library of 34 patterns—including 28 standard signs of AI writing and 6 crypto-specific tells—it ensures your message resonates with authenticity. This skill is a core component of Openclaw Skills for content teams who need to maintain a high standard of communication without the tell-tale markers of large language models.
Beyond simple pattern replacement, the skill focuses on personality injection and readability adjustments. It analyzes text for severity levels, ensuring that critical issues like negative parallelism and chatbot artifacts are addressed first. Whether you are working on technical developer documentation or Web3 marketing materials, Humanizer Enhanced provides the necessary checks to produce high-quality, professional results.
Humanizer Enhanced Use Cases
- Removing common AI artifacts and chatbot phrases from blog drafts
- Refining Web3 and crypto-specific content to avoid hype-heavy or vague ecosystem claims
- Batch processing multiple markdown files in a content pipeline
- Auditing external guest posts for AI-generated signatures before publication
- Improving readability scores for developer-focused technical articles
How Humanizer Enhanced Works
- The tool scans the provided text or files to identify patterns categorized by severity: High, Medium, or Low.
- It generates a detailed scan report highlighting specific issues like em dash overuse, vague attributions, or formulaic structures.
- Based on user approval, the tool applies fixes to the identified patterns through targeted find-and-replace or rewriting.
- It injects personality based on predefined guides to ensure the text does not feel sterile or robotic.
- The tool performs a Flesch-Kincaid readability check to ensure the complexity matches the target audience (e.g., Grade 10-12 for developers).
- A final regression scan is performed specifically for em dashes to ensure no new artifacts were introduced during the editing process.
Humanizer Enhanced Setup
To begin using this skill within the Openclaw Skills framework, you can use the following commands in your terminal or AI interface:
# Humanize a specific markdown file
/humanizer path/to/file.md
# Perform a scan to show issues without making changes
/humanizer --scan
# Process an entire directory of drafts in batch mode
/humanizer --batch drafts/
Humanizer Enhanced Data Schema & Taxonomy
The skill organizes its analysis based on a severity-weighted taxonomy and references specific metadata for pattern matching:
| Severity Level | Action Required | Example Patterns |
|---|---|---|
| HIGH | Must fix | Negative parallelism, Chatbot artifacts, Em dash overuse, Meta-narration |
| MEDIUM | Should fix | Rule of three, AI vocabulary, Sycophantic tone, Filler phrases |
| LOW | Optional fix | Title case headings, Curly quotes, Excessive boldface |
It utilizes three primary reference structures:
- Content Patterns: Structural issues and promotional language.
- Language Style: Linguistic habits like copula avoidance and synonym cycling.
- Crypto Soul: Web3-specific tells and personality injection guides.
Humanizer Enhanced Advanced Features
- Crypto/Web3 Optimization: Specifically detects and fixes fake decentralization claims and vague ecosystem jargon.
- Readability Targeting: Automatically suggests simplifications to meet audience-specific grade standards.
- Batch Processing: Scans and fixes entire directories of content simultaneously for high-volume workflows.
- Em Dash Regression: A specialized final pass to remove excessive punctuation introduced during automated rewriting.
- Stat Attribution Fixer: Flags research shows or unsubstantiated stats to ensure content credibility.
SKILL.md
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