Matchmaker AI for Openclaw

Matchmaker AI is a data-driven relationship analyzer for Openclaw Skills that uses real social media footprints to calculate compatibility and lifestyle alignment.

sophie-xin9
v1.0.0
Apr 10, 2026
0
652
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install matchmaker

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 matchmaker 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 Matchmaker AI?

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.

Matchmaker AI Use Cases

  • Comparing social media interests and aesthetic preferences between two partners to find common ground.
  • Identifying potential friction points in lifestyle habits like sleep schedules and spending patterns.
  • Generating data-driven date suggestions and conversation starters based on shared media consumption.
  • Performing a preliminary compatibility check using public social media profiles for initial relationship screening.

How Matchmaker AI Works

  1. Dependency Verification: The agent first checks for the presence of ManoBrowser to ensure browser automation capabilities are active for Openclaw Skills.
  2. Multi-Platform Data Collection: The skill initiates specialized sub-modules to collect data from platforms including Douban for aesthetics and Xiaohongshu for lifestyle tags.
  3. Profile Serialization: Individual social data is stored locally in JSON format to ensure user privacy and data integrity.
  4. Weighted Dimensional Analysis: The AI performs a cross-analysis across five dimensions: interests, values, schedule, aesthetics, and social style.
  5. Report Synthesis: A comprehensive Compatibility Report is generated, featuring a match score, specific chemistry points, and friction warnings.

Matchmaker AI Setup

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

Matchmaker AI Data Schema & Taxonomy

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

Matchmaker AI Advanced Features

  • Multi-platform cross-referencing to build a holistic profile from fragmented social footprints.
  • Privacy-centric local execution where no personal social data is uploaded to external servers.
  • Dynamic weighting system that allows users to prioritize values over interests or vice versa.
  • Fallback mechanism for scanning public profiles when private account access is not available.
  • Integration with specialized collection modules for Bilibili, Weibo, and Douyin.

SKILL.md


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