A surgical pattern-remover designed to strip away AI writing signatures and restore a natural, human voice to your content.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install humanize-text
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 humanize-text 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 Humanize Text?
The Humanize Text skill is a specialized utility for the Openclaw Skills ecosystem that identifies and eliminates the linguistic fingerprints of large language models. Unlike generic rewriters, this skill focuses on specific pattern removal—targeting punctuation abuse, sycophantic openers, and overused AI transition phrases. It allows developers and writers to maintain the core meaning of their text while removing the artificial polish that often triggers AI detection and reduces reader engagement.
By applying a series of structured transformations, this skill helps users move away from the medium-length, compound-heavy sentence structures typical of AI. Whether you are cleaning up a blog post, a technical readme, or a professional email, using this tool within Openclaw Skills ensures your output sounds authentic and direct.
Humanize Text Use Cases
- Refining AI-generated blog posts by removing repetitive transition phrases like "delve into" and "it's important to note."
- Cleaning up technical documentation to strip away marketing puffery such as "revolutionary" or "cutting-edge."
- Adjusting the tone of automated email drafts to include contractions and varied sentence lengths for a more personal touch.
- Removing robotic punctuation patterns like excessive em-dashes and bolded bullet point headers from AI outputs.
How Humanize Text Works
- The skill first scans the text for punctuation tells, replacing em-dashes and semicolons with natural alternatives to break the AI's rhythmic default.
- It executes a "Dead Phrase" sweep, deleting or rewriting over 50 specific high-frequency AI fillers and sycophantic openers.
- The logic analyzes sentence structure, forcing variations in length and introducing fragments or conjunction-led sentences that AI typically avoids.
- Vocabulary swaps are performed to replace corporate "slop" words like "utilize" and "leverage" with simpler, human-centric verbs.
- Finally, the skill calibrates the tone based on the selected mode, ensuring technical accuracy is preserved while the robotic voice is removed.
Humanize Text Setup
To integrate this skill into your workflow, ensure your Openclaw Skills agent has access to the configuration file. You can trigger the humanization process via direct command or by targeting specific files.
# Example of triggering the humanize-text skill via CLI
openclaw run humanize-text --mode clean --file post.md
Humanize Text Data Schema & Taxonomy
The skill processes text based on three primary operational modes, which determine the depth of the transformation logic:
| Mode | Intensity | Key Focus |
|---|---|---|
| Clean | Maximum | Full structural, vocabulary, and punctuation overhaul. |
| Light | Moderate | Focuses on punctuation and the most common dead phrases. |
| Preserve | Minimal | Only removes egregious tells like "delve into" and em-dashes. |
When processing files, the skill generates a diff summary highlighting the specific patterns removed before finalizing the write operation.
Humanize Text Advanced Features
- Context-aware vocabulary mapping that distinguishes between technical necessity and AI puffery (e.g., keeping "robust" for software but removing it from marketing copy).
- Three-tier transformation modes (Clean, Light, Preserve) to suit different levels of desired intervention.
- Multi-file processing capabilities with automated diff generation for human review.
- Structural logic that intentionally introduces fragments and conjunctions to defeat AI detection patterns.
SKILL.md
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