A specialized text editor designed to identify and eliminate artificial writing patterns from Polish text to ensure authentic, human-like communication.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install humanizer-pl
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-pl 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 PL?
Humanizer PL is an advanced linguistic skill for AI agents focused on refining Polish text by removing the common markers of machine generation. Built upon the Wikipedia Signs of AI writing research maintained by WikiProject AI Cleanup, this skill targets 24 specific linguistic flaws common in Polish LLM outputs. It addresses issues ranging from puffy significance and promotional language to structural errors like the overuse of dashes and the rule of three.
The core value of this skill within the Openclaw Skills ecosystem is its ability to inject soul and personality back into sterile content. It doesn't just prune bad habits; it actively encourages the use of varied sentence rhythms, subjective perspectives, and concrete emotional language. This ensures that the final text resonates with native speakers and avoids the predictable, algorithmic feel of standard AI writing.
Humanizer PL Use Cases
- Refining AI-generated blog posts or articles to ensure they sound like they were written by a native Polish speaker.
- Auditing technical documentation to remove vague attributions and non-descriptive filler phrases.
- Humanizing automated customer communications or system-generated reports.
- Correcting stylistic and typographical errors specific to the Polish language, such as Title Case in headers.
- Improving the readability and engagement of summaries by adding varied sentence structures and first-person perspectives.
How Humanizer PL Works
- The agent utilizes Grep and Read tools to scan the provided text for 24 distinct AI writing patterns.
- It identifies specific clusters of high-frequency AI vocabulary and structural markers like participles and filler phrases.
- The skill initiates a rewriting process that replaces artificial synonyms with simple, natural Polish equivalents (e.g., swapping complex connectors for simple words like jest or są).
- It evaluates the rhythm of the text, breaking up monotonous sentence structures to create a more human flow.
- The agent performs a final typographical pass to fix quotation marks, remove unnecessary bolding, and correct heading capitalization.
- A humanized version is generated, often accompanied by a summary of the specific AI patterns that were mitigated.
Humanizer PL Setup
To integrate this capability into your agent environment, you must include it in your Openclaw Skills configuration. Use the following commands to get started:
# Navigate to your agent skills directory
cd skills/
# Clone the humanizer-pl repository
git clone https://github.com/openclaw/humanizer-pl.git
Ensure your agent has the necessary permissions for the following tools: Read, Write, Edit, Grep, Glob, and AskUserQuestion.
Humanizer PL Data Schema & Taxonomy
The skill manages text optimization through a structured taxonomy of linguistic patterns. The following table describes how it organizes data processing:
| Component | Description |
|---|---|
| Pattern Registry | Dictionaries for identifying 24 categories of Polish AI markers. |
| Content Rules | Logic for transforming promotional tone into neutral reporting. |
| Style Engine | Rules for rhythm variation and the injection of first-person perspectives. |
| Typography Map | Mapping for Polish-specific character corrections and header casing. |
Humanizer PL Advanced Features
- Support for 24 unique detection categories based on professional WikiProject AI Cleanup standards.
- Multi-tool integration using Grep for scanning large directories of Polish text for AI signatures.
- Automated removal of conversational artifacts and knowledge-limit disclaimers common in chatbot outputs.
- Style-matching capabilities that preserve the intended tone (formal vs. informal) while removing mechanical patterns.
- Advanced typographical correction, including the normalization of Polish quotation marks and emoji removal.
SKILL.md
Loading
Related Openclaw Skills
Daily Insight Brief
An automated morning intelligence agent that collects, verifies, and distills high-impact business, technology, and financial news from premium global sources.
Prompt Assemble
A standardized prompt assembly framework designed to guarantee AI agent stability by preventing token overflow through intelligent memory orchestration.
llmfit-advisor
A hardware-aware advisor that detects system specs to recommend the best-fitting local LLMs with optimal quantization and speed estimates.
LLM Router
An intelligent proxy that classifies incoming requests by complexity and routes them to the most cost-effective LLM provider.
KSeF Accounting Agent (English)
A domain-specific knowledge agent for managing Polish National e-Invoice System (KSeF) 2.0 workflows and FA(3) compliance.
KSeF Polish Accounting Assistant
A specialized domain knowledge agent for navigating Poland's National e-Invoice System (KSeF 2.0) and FA(3) compliance.
Featured*
