A specialized text editing skill that detects and eliminates common AI-generated writing patterns to make content sound authentically human.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install humanizer-es
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-es 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-es?
humanizer-es is a sophisticated text refinement tool designed to bridge the gap between machine-generated drafts and professional-grade content. Built as part of the ecosystem of Openclaw Skills, this agent leverages comprehensive research from the WikiProject AI Cleanup to systematically strip away common LLM artifacts. It identifies issues like excessive symbolism, superficial analysis, and formulaic structures that often plague AI-generated Spanish text.
Beyond simple editing, humanizer-es focuses on injecting 'soul' into writing by varying sentence rhythm, acknowledging complexity, and using direct phrasing. It serves as a digital editor that doesn't just clean text but transforms it into vivid, authoritative prose that resonates with human readers while maintaining the original meaning and technical accuracy.
humanizer-es Use Cases
- Polishing AI-drafted articles or documentation to bypass robotic tone detection.
- Refining technical reports by removing repetitive linguistic patterns and unnecessary filler.
- Converting generic marketing copy into specific, action-oriented human narratives.
- Reviewing translated content to ensure it follows natural Spanish linguistic flows.
- Enhancing professional communication within Openclaw Skills workflows to ensure authenticity.
How humanizer-es Works
- Scans the input text for 24 distinct AI-writing markers, including specific vocabulary and structural clichés.
- Identifies 'soulless' segments that lack rhythm variation, personal perspective, or emotional nuance.
- Rewrites problematic fragments using natural Spanish alternatives and direct, active verbs.
- Adjusts the output to the requested register, whether formal, informal, or highly technical.
- Performs a final validation using a 50-point quality scoring system to ensure the text meets human-level standards.
humanizer-es Setup
To integrate this skill into your environment, follow these steps:
# Ensure your agent has access to the skill folder
# Define the humanizer-es configuration in your skill manifest
# Grant permissions for the following tools:
# - Read
# - Write
# - Edit
# - AskUserQuestion
Once configured within Openclaw Skills, you can trigger the humanization process by providing any text or file path and asking the agent to 'humanize' or 'naturalize' the content.
humanizer-es Data Schema & Taxonomy
The skill organizes its analysis and output using a structured format to ensure transparency in the editing process:
| Component | Description |
|---|---|
| Input Content | Raw text or markdown file containing AI-generated segments. |
| Pattern Registry | A list of 24 linguistic patterns including 'AI Vocabulary', 'Rule of Three', and 'Negative Parallelisms'. |
| Quality Matrix | A 5-dimension scoring table (Directness, Rhythm, Confidence, Authenticity, Conciseness) rated 1-10. |
| Refined Output | The finalized, humanized version of the text. |
| Change Log | Optional summary of specific linguistic artifacts removed during processing. |
humanizer-es Advanced Features
- Scientific pattern detection based on real-world Wikipedia AI cleanup data.
- Dynamic rhythm adjustment to break mechanical sentence length repetition.
- Automated removal of AI-specific meta-talk (e.g., 'As an AI...', 'Hope this helps!').
- Support for complex linguistic corrections like the 'Evacuation of the Copula' and 'False Range' structures.
- Seamless integration with existing Openclaw Skills file editing workflows for automated content pipelines.
SKILL.md
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