Matchmaker AI is a data-driven relationship analyzer for Openclaw Skills that uses real social media footprints to calculate compatibility and lifestyle alignment.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install matchmaker
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 matchmaker using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Matchmaker AI represents a shift from traditional personality tests to empirical data analysis within the ecosystem of Openclaw Skills. Instead of relying on self-reported surveys or astrology, this skill leverages browser automation to scan social media accounts on platforms like Xiaohongshu, Weibo, and Bilibili. It identifies patterns in user interests, values, and daily habits to determine how well two individuals truly align.
By processing real-world interactions—such as liked posts, saved collections, and rating histories—the skill provides a nuanced view of chemistry. This tool is designed for developers and users who want a high-fidelity, private-first approach to social matching, keeping all analyzed data local while providing professional-grade relationship insights.
To get started with this skill for Openclaw Skills, ensure you have the browser automation dependency ready:
# Clone the required browser dependency
git clone https://github.com/ClawCap/ManoBrowser.git ./manobrowser
# The matchmaker skill will then use the following directory structure
# for local data processing
mkdir matchmaker-data
The skill organizes its findings into a structured local directory to facilitate cross-analysis while maintaining privacy for Openclaw Skills users.
| File / Directory | Purpose |
|---|---|
matchmaker-data/person_A.json |
Stores captured social data, tags, and likes for the first subject |
matchmaker-data/person_B.json |
Stores captured social data, tags, and likes for the second subject |
examples/match_report.md |
Template and output for the final compatibility insights |
scripts/check_manobrowser.sh |
Utility to verify environment readiness |
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