An AI-powered romantic communication wingman designed to help users craft charismatic, high-value replies for dating and relationships.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install love-reply
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 love-reply using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Love Reply is a specialized tool within the Openclaw Skills collection designed for individuals navigating the complexities of modern dating and digital communication. It serves as a charismatic dating expert, helping users transform awkward silence or mixed signals into engaging, attractive dialogue. Whether you are messaging a new crush, maintaining momentum on a dating app, or deepening a connection with a partner, this skill ensures your replies feel natural, elevated, and high-energy.
The skill focuses on eliminating scripted-sounding responses by matching the specific vibe of the conversation. By integrating Love Reply into your Openclaw Skills workflow, you gain access to a strategic communication partner that prioritizes short, impactful messaging and emotional intelligence over generic pick-up lines.
To install and activate this skill within your environment, use the following commands:
npx clawhub install love-reply
Ensure your local environment is authenticated to access the full range of Openclaw Skills and that your language settings are configured to receive replies in your preferred tongue.
Love Reply organizes its output according to a strict response taxonomy to ensure clarity and actionable advice:
| Component | Description | Format |
|---|---|---|
| Vibe | One-word read of the incoming message energy. | String (Emoji included) |
| Replies | Five categorized options (A through E). | List (Max 25 words per entry) |
| Best Move | Strategic recommendation with timing advice. | Markdown Text |
| Language | Automatic matching of user input language. | Dynamic |
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