Reply Coach for Openclaw

An AI-powered communication assistant that analyzes clipboard content to suggest natural, high-EQ responses for social and messaging apps.

52yuanchangxing
v1.0.0
Mar 11, 2026
0
852
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install reply-coach

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 reply-coach 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 Reply Coach?

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.

Reply Coach Use Cases

  • Breaking the ice in new social or professional connections.
  • Sustaining conversation flow during early dating or ambiguous social phases.
  • Crafting polite and high-EQ responses to difficult or dry messages.
  • Generating multiple variations of a reply to choose the most appropriate tone.
  • Analyzing copied chat logs to understand the best way to continue a discussion.

How Reply Coach Works

  1. The user copies the message or conversation thread they wish to reply to into their system clipboard.
  2. The user issues a command to the AI agent, such as "analyze the clipboard and help me reply."
  3. The skill executes a Node.js script that utilizes system commands like pbpaste to retrieve the text.
  4. The AI processes the clipboard content, analyzing the context, sentiment, and social dynamics of the interaction.
  5. The skill returns three distinct reply suggestions designed to be natural and effective.

Reply Coach Setup

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

Reply Coach Data Schema & Taxonomy

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

Reply Coach Advanced Features

  • Direct integration with system clipboard for zero-friction data entry.
  • Customizable tone settings to match the user's personal communication style.
  • Support for diverse social contexts ranging from ice-breakers to de-escalating tension.
  • Seamless compatibility with other automation workflows within Openclaw Skills.
  • Low-latency response generation using localized script execution.

SKILL.md


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Related Openclaw Skills

METADATA

Requires
Bins nodepbpaste
Github Stars: 0
forks: 0

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