A specialized skill designed to transform standard AI markdown into clean, platform-compliant WhatsApp syntax for a professional mobile-first experience.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install whatsapp-styler
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 whatsapp-styler 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 WhatsApp Styler?
The WhatsApp Styler skill is an essential tool for developers and users who leverage AI agents for communication. Standard AI outputs often include markdown features like double asterisks or complex tables that do not render correctly on mobile messaging platforms. This skill enforces a strict set of formatting rules to ensure that every message sent looks native, professional, and is easy to read on any mobile device. By integrating this into your workflow, you ensure your Openclaw Skills maintain a human-to-human aesthetic while stripping away technical bloat.
This skill is particularly useful for maintaining brand voice and technical clarity without the distraction of raw markdown symbols. It acts as a syntax filter that bridges the gap between sophisticated LLM reasoning and the simplified UI of the world's most popular messaging app.
WhatsApp Styler Use Cases
- Formatting automated AI customer support responses for a clean WhatsApp interface.
- Sending technical IDs and code snippets to team members using native monospace formatting.
- Converting structured data into mobile-friendly bulleted lists instead of broken markdown tables.
- Ensuring system notifications and alerts follow a consistent, readable style for field operations.
How WhatsApp Styler Works
- The AI agent generates a response containing standard markdown.
- The WhatsApp Styler skill intercepts the output before it is transmitted.
- The skill applies transformation rules, such as converting
**bold**to*bold*and# Headersto*BOLD CAPS*. - Prohibited elements like horizontal rules or tables are flattened into compliant list formats.
- The sanitized, platform-ready text is delivered to the WhatsApp API or bridge.
WhatsApp Styler Setup
To deploy this skill within your environment, include the skill definition in your agent configuration. Ensure your messaging pipeline is set to recognize the whatsapp-styler instructions.
# Example command to initialize your skill library
openclaw install whatsapp-styler
WhatsApp Styler Data Schema & Taxonomy
The skill utilizes a mapping system to translate standard markdown into WhatsApp-specific characters:
| Element | Markdown Standard | WhatsApp Styler Output |
|---|---|---|
| Bold | **text** |
*text* |
| Italic | _text_ |
_text_ |
| Strikethrough | ~~text~~ |
~text~ |
| Monospace | code |
```code``` |
| Headers | # Header |
*HEADER* |
| Lists | - Item |
* Item |
WhatsApp Styler Advanced Features
- Header Flattening: Automatically converts nested headers into bold uppercase text to maintain hierarchy without using unsupported symbols.
- Table Transformation: Detects markdown tables and converts them into structured bullet points for better mobile readability.
- Bloat Prevention: Actively strips nested symbols that frequently cause raw character leakage in the WhatsApp UI.
- Cross-Platform Consistency: Works alongside other Openclaw Skills to ensure multi-channel agents adapt their tone and style per destination.
SKILL.md
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