An AI-powered communication assistant that analyzes clipboard content to suggest natural, high-EQ responses for social and messaging apps.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install reply-coach
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install reply-coach using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Reply Coach is a specialized social communication tool designed to help users navigate the nuances of digital conversations. By reading recent chat history directly from the clipboard, this skill provides users with multiple response options that are polished, respectful, and socially intelligent. It is particularly effective for those looking to avoid awkward silences or overly aggressive tones in early-stage social interactions.
Built as a developer-friendly utility within the Openclaw Skills ecosystem, it leverages local system scripts to bridge the gap between your chat applications and AI intelligence. Whether you are using WeChat, QQ, or professional messaging platforms, Reply Coach ensures your replies maintain a perfect balance of boundary-awareness and engagement without sounding robotic or forced.
To use this skill, ensure you have Node.js and a system-level clipboard utility installed. For macOS users, pbpaste is required. Follow these steps to prepare the environment for this part of Openclaw Skills:
# Verify Node.js installation
node -v
# The skill invokes the internal script to process data
node scripts/reply_from_clipboard.mjs
The skill operates on transient text data fetched from the system clipboard. It focuses on text-based interaction logs and outputs structured suggestions.
| Attribute | Description |
|---|---|
| Input Data | Raw text string from the system clipboard |
| Analysis Engine | NLP context and social boundary evaluation |
| Output Structure | Unordered list of 3 high-EQ reply suggestions |
| Dependencies | Node.js environment and pbpaste/clipboard access |
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