Matchmaker is an AI-powered relationship assistant skill providing profile analysis, compatibility matching, and actionable dating guidance.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install match-maker
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 match-maker using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Matchmaker is a sophisticated relationship intelligence skill designed for integration into AI agents. It leverages structured frameworks like the Big Five personality model, lifestyle metrics, and core values alignment to provide deep insights into human connections. By incorporating this into the library of Openclaw Skills, developers can empower agents to act as expert matchmaking consultants, helping users navigate dating profiles, assess compatibility, and track relationship health with data-driven precision.
This skill goes beyond simple keyword matching, utilizing multi-dimensional analysis to evaluate dating readiness, generate personalized icebreakers, and offer strategic relationship advice. Whether for individuals seeking self-improvement or developers building social AI tools, Matchmaker provides the technical foundation for meaningful relationship guidance.
To integrate this capability into your Openclaw Skills environment, ensure you have Python 3 installed. Clone the repository and install the skill in editable mode:
pip install -e .
The skill is designed to work out of the box with the standard Openclaw agent configuration once the dependencies are resolved.
The skill organizes relationship data using a structured taxonomy centered on the Person object:
| Component | Description |
|---|---|
| PersonalityTraits | 0-100 scales for Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism. |
| Lifestyle | Metrics for sleep schedules, exercise frequency, social activity, and travel habits. |
| Values | Alignment data for marriage views, children plans, family/career importance, and financial attitudes. |
| InteractionLog | Sequential records of dates, message types, and quality ratings to track relationship momentum. |
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