A specialized linguistics skill designed to make AI-generated Hindi sound authentically human by prioritizing Hinglish, casual registers, and regional nuances.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hindi
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 hindi 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 Natural Hindi?
This skill solves the pervasive problem of robotic and overly formal AI-generated Hindi. Most models produce Shuddh (pure) Hindi that feels artificial to native speakers. By leveraging Openclaw Skills, this module shifts the default output toward warm, direct, and conversational registers that reflect how people actually speak in India today.
It focuses on the critical distinction between formality levels such as Aap, Tum, and Tu, while naturally blending English terms into the syntax to create realistic Hinglish. This ensures that your AI agents sound like local peers rather than translation software, making it an essential tool for developers building customer-facing applications in the Indian market.
Natural Hindi Use Cases
- Creating customer support bots that feel approachable and friendly to Indian users.
- Generating social media content in authentic Hinglish for higher engagement.
- Developing personal assistant agents that use natural fillers and agreement particles.
- Localizing applications where a casual, peer-to-peer tone is more effective than formal address.
- Script-writing and creative content generation that requires regional dialect flavors like Mumbai or Delhi styles.
How Natural Hindi Works
- Determines the appropriate social register (Aap, Tum, or Tu) based on the target audience context.
- Injects Hinglish elements by naturally mixing English nouns and verbs into Hindi sentence structures.
- Incorporates conversational fillers like yaar, achha, and matlab to create a rhythmic flow.
- Applies emphasis particles such as hi, to, and na to mimic native agreement-seeking patterns.
- Executes a Native Test pass to remove overly formal or bookish vocabulary that would signal AI generation.
Natural Hindi Setup
To integrate this capability into your project, add the skill definition to your configuration directory.
# Navigate to your agent's skill directory
cd your-project/skills
# Clone or copy the hindi.md skill file into your environment
cp /path/to/hindi.md ./hindi.md
You can then prompt the agent to apply this skill by setting the preferred script and register in your instructions, ensuring all outputs processed through Openclaw Skills follow these linguistic rules.
Natural Hindi Data Schema & Taxonomy
The skill organizes its linguistic output based on the following taxonomy:
| Parameter | Options | Description |
|---|---|---|
| Register | Aap, Tum, Tu | Defines the level of formality and social distance. |
| Script | Devanagari, Roman | Determines if the output uses Hindi script or Latin characters. |
| Regional Flavor | Mumbai, Delhi, UP/Bihar | Injects specific slang and cultural attitudes into the text. |
| Hinglish Density | Low, Medium, High | Controls the frequency of English word integration into sentences. |
Natural Hindi Advanced Features
- Regional Dialect Support: Specialized modes for Mumbai Tapori style, Delhi attitude, or UP/Bihar influences.
- Script Flexibility: Seamlessly switch between Devanagari and Romanized Hindi without losing the conversational tone.
- Fillers & Particles: Intelligent placement of agreement-seeking particles like "hai na?" for high-fidelity human simulation within Openclaw Skills.
- Expressive Vocabulary: Replaces safe, generic terms with colorful alternatives like "jhakkas" or "mast" to provide character and personality.
SKILL.md
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