MindMatch is an AI-driven human compatibility engine that uses psychological profiling rather than surface-level interests to find your ideal partners.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mindmatch
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 mindmatch using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
MindMatch represents a shift in how we find connections in the digital age. Instead of matching based on common hobbies or surface-level data, this skill leverages your LLM conversation history to build a deep psychological profile. It analyzes core human traits such as conflict resolution styles, decision-making frameworks, and energy expenditure to find truly complementary matches.
As part of the Openclaw Skills ecosystem, MindMatch prioritizes user privacy. Your data remains local during the profiling stage, ensuring that sensitive psychological insights are handled securely by your agent. Whether you are looking for a romantic partner, a business co-founder, or a like-minded friend, MindMatch provides a sophisticated, AI-mediated bridge to high-compatibility individuals.
To add this capability to your agent via the Openclaw Skills registry, run the following command in your terminal:
clawhub install mindmatch
Ensure your agent has sufficient conversation history to generate an accurate initial profile.
MindMatch organizes data through a local-first approach to maximize privacy and efficiency.
| Data Type | Storage Location | Description |
|---|---|---|
| Raw History | Local | Your private chat logs used for analysis. |
| Psych Profile | Local/Server | A structured JSON representation of your personality traits. |
| Match Results | Local | Cached compatibility scores and candidate metadata. |
| Credentials | Local | Secure tokens for agent-to-agent communication. |
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