Message Friendly IM Formatter for Openclaw

A specialized tool that optimizes AI-generated Markdown for instant messaging platforms by converting symbols into clean, emoji-enhanced plain text.

70asunflower
v1.0.1
Mar 20, 2026
0
857
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install message-friendly

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install message-friendly 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 Message Friendly IM Formatter?

The Message Friendly skill is an expert-level formatting engine designed to bridge the gap between complex Markdown output and the simplified text requirements of IM platforms like WeChat, DingTalk, and WhatsApp. While standard LLM outputs often rely on headers and bolding that break or look cluttered on mobile devices, this skill meticulously downgrades syntax into a highly readable, symbol-based hierarchy.

By utilizing Openclaw Skills to process raw Markdown, users can ensure their AI-generated reports, code snippets, and task lists are instantly shareable without manual editing. It prioritizes visual clarity through smart whitespace management and emoji-based structure, making it indispensable for developers and managers who communicate primarily via mobile messaging apps.

Message Friendly IM Formatter Use Cases

  • Sharing automated weekly status reports or AI-generated summaries directly to WeChat groups.
  • Converting complex data tables into readable list formats for quick mobile viewing.
  • Sending code snippets and task lists to team members via IM without broken Markdown syntax.
  • Formatting long-form AI research into digestible, emoji-structured mobile messages.

How Message Friendly IM Formatter Works

  1. Content Analysis: The skill scans the input for standard Markdown elements like headings, bold text, tables, and links.
  2. Symbol Mapping: It replaces restricted syntax (e.g., # or **) with IM-safe equivalents like brackets (【 】) or parentheses.
  3. Data Restructuring: Multi-column tables are automatically flattened into key-value pairs to prevent horizontal scrolling issues.
  4. Visual Enhancement: Appropriate emojis and text-based dividers are injected to maintain a clear visual hierarchy.
  5. Final Sanitization: The skill collapses redundant whitespace and ensures the final output matches the user's original language for a seamless handoff.

Message Friendly IM Formatter Setup

To integrate this capability into your AI agent, ensure you have the Openclaw environment configured. Install the skill by adding it to your skill directory:

# Navigate to your agent's skills folder
cd my-ai-agent/skills

# Clone or download the message-friendly skill
git clone https://github.com/openclaw/message-friendly.git

No additional API keys are required as this is a formatting-logic skill compatible with most Openclaw Skills workflows.

Message Friendly IM Formatter Data Schema & Taxonomy

The skill processes incoming text and outputs a sanitized string. It handles metadata and specific Markdown objects as follows:

Markdown Element Conversion Result Example
Headings Bracketed Text # Title -> 【Title】
Task Lists Emojis - [x] -> ✅
Links Expanded URLs Name -> Name:
Tables Key-Value Lists Item: Value
Code Blocks Text Markers [code] ... [/code]
Dividers Text Line ──────────

Message Friendly IM Formatter Advanced Features

  • Granular Symbol Mapping: Translates specific symbols into clean equivalents while preserving 100% of the original information.
  • 2D Data Serialization: Specialized logic to convert complex markdown tables into concise, mobile-friendly list views.
  • Smart Whitespace Management: Intelligently collapses consecutive empty lines to prevent 'message spam' on small screens.
  • Cross-Platform Adaptation: Specifically tuned for the unique rendering constraints of WeChat, DingTalk, and other corporate IM tools.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*