A linguistic refinement skill that transforms formal, robotic AI Persian into warm, colloquial, and human-sounding communication.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install persian
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 persian 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 Persian Humanizer?
The Persian Humanizer addresses a common flaw in modern language models: the tendency to produce text that is grammatically correct but culturally "off" or overly bookish (Ketabi). By focusing on the nuances of Iranian social dynamics, this skill bridges the gap between machine translation and native fluency. It emphasizes the critical distinction between formal and casual registers, ensuring your agent knows when to use 'Tou' versus 'Shoma'.
By leveraging these Openclaw Skills, developers can ensure their AI-generated content resonates with native speakers. The skill focuses on spoken patterns, natural particles, and expressive vocabulary that traditional LLMs often overlook, making it an essential tool for localization and authentic engagement in Persian-speaking markets.
Persian Humanizer Use Cases
- Localizing customer support interactions to sound approachable and friendly rather than distant.
- Creating social media copy that uses native fillers and reactions to drive higher engagement.
- Refining AI-generated scripts for video content to follow natural spoken Persian patterns.
- Adjusting the formality of automated emails based on the recipient's relationship with the brand.
How Persian Humanizer Works
- The skill first evaluates the required register, defaulting to a warm, casual tone unless explicit formality is requested.
- It identifies standard written forms and converts them to colloquial equivalents, such as changing 'ast' to '-e'.
- Natural particles like 'dige' and 'ke' are injected to provide authentic flow and emphasis.
- Safe, generic vocabulary is replaced with expressive, high-impact words common in modern Iranian speech.
- A final 'Native Test' logic check is applied to ensure the output does not trigger AI-detection markers through excessive bookishness.
Persian Humanizer Setup
To deploy this skill within your environment, ensure your agent has access to the Persian linguistic guidelines. You can organize these within your local Openclaw Skills repository.
mkdir -p agents/skills/persian-humanizer
# Copy the skill definition to your project
cp SKILL.md agents/skills/persian-humanizer/
Persian Humanizer Data Schema & Taxonomy
The skill utilizes a taxonomy of linguistic markers to transform text from formal to colloquial.
| Marker Type | Description | Examples |
|---|---|---|
| Pronouns | Register-based selection | Tou (casual) vs. Shoma (formal) |
| Phonetic Shifts | Conversions from written to spoken | ra -> ro, hast -> -e |
| Particles | Softeners and emphasis markers | dige, ke, mage |
| Reactions | Culturally appropriate responses | ajab, vaghean, dame-garm |
Persian Humanizer Advanced Features
- Context-aware Taarof integration to manage politeness rituals based on social hierarchy.
- Support for Iranian internet slang and text-based emotional expressions (e.g., 'khkhkh').
- Dynamic register switching based on the 'Native Test' logic to prevent robotic output.
- Specialized vocabulary mapping for different industry contexts within the Openclaw Skills framework.
SKILL.md
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