A professional editing skill designed to identify and remove artificial patterns and clichés from Russian-language AI output.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install russian-humanizer
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 russian-humanizer 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 Russian Humanizer?
Russian Humanizer is a specialized tool developed for professional editors and developers who need to refine AI-generated Russian text. It addresses the common pitfalls of models like ChatGPT, which often produce overly formal, structurally artificial, and cliché-ridden Russian prose. By applying advanced linguistic frameworks adapted for Russian morphology and syntax, this skill breathes life back into sterile machine translations.
The skill goes beyond simple synonym replacement. It fundamentally restructures sentences to favor active voice, concrete imagery, and rhythmic variety. Whether you are polishing marketing copy or technical documentation, this addition to your Openclaw Skills library ensures your content resonates with native speakers by sounding authentically human.
Russian Humanizer Use Cases
Primary Use Cases
- Refining AI Drafts: Transforming raw ChatGPT or LLM output into high-quality Russian content for blogs or social media.
- Removing AI Slop: Identifying and stripping away high-frequency machine clichés and bureaucratic language (kantselyarit).
- Content Localization: Adapting translated technical documentation to sound more natural and less like a direct literal translation.
- Style Normalization: Breaking repetitive sentence rhythms and 'rules of three' typically found in synthetic text.
How Russian Humanizer Works
- Initial Analysis: The agent invokes the native
analyze_russian_sloptool to scan the target text for known machine patterns. - Scoring: The tool returns a Slop Score and a detailed list of identified clichés, markers, and structural issues.
- Guided Rewriting: Using logic from internal reference files (phrases.md and structures.md), the agent performs a comprehensive rewrite.
- Validation: The skill ensures the final output follows specific rules, such as active voice usage and rhythmic variation, to prevent the 'Wikipedia-style' sterile tone.
Russian Humanizer Setup
To install and use this skill within your environment, ensure you have Python available as it is a required dependency.
# Standard installation via Openclaw
openclaw install russian_humanizer
# The skill requires access to the following reference files:
# {baseDir}/references/structures.md
# {baseDir}/references/phrases.md
Russian Humanizer Data Schema & Taxonomy
The Russian Humanizer organizes its linguistic logic and output based on specific taxonomies:
| Data Component | Description |
|---|---|
| Slop Score | A numerical index representing the density of AI markers in the text. |
| Marker Categories | Classification of issues into Content Patterns (e.g., Vague Attributions) or Grammar Rules (e.g., Copula Avoidance). |
| Reference Phrases | A dictionary of banned bureaucratic clichés and their natural human alternatives. |
| Structural Templates | Models for breaking synthetic rhythms and implementing 'personality and soul' into the prose. |
Russian Humanizer Advanced Features
- Native Tool Integration: Seamlessly calls
analyze_russian_slopfor data-driven editing. - Personality Injection: Power-user hooks allow the agent to move beyond sterile correctness to add irony, opinion, and varied emotional depth.
- Multi-Framework Adaptation: Combines two top English editing frameworks specifically adapted for Russian syntax.
- Cliché Blacklisting: Highly extensible lists for blocking specific industry-specific AI 'slop' words.
SKILL.md
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