relationships

Store and manage contacts, interactions, and context in a private memory store.

Updated Feb 18, 2026
One-click install
npx skills add https://github.com/profbernardoj/travelclaw.org --skill relationships
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: relationships
Source: https://github.com/profbernardoj/travelclaw.org/tree/main/relationships
Command: npx skills add https://github.com/profbernardoj/travelclaw.org --skill relationships

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Organize and persist relationship data for OpenClaw agents by storing contacts, interactions, and context in a private memory store.

Core Features & Use Cases

  • Track people by category (family, close_friends, friends, colleagues, broader_community, strangers, bad_actors, unknown).
  • Add, search, list, and update contacts with rich context and a history of interactions.
  • Local, privacy-preserving memory storage for long-term context and recall.

Quick Start

Add a new contact to your relationships memory using the CLI to begin tracking interactions immediately.

Frequently Asked Questions about relationships

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I organize contacts and track interactions for my personal CRM?

You can organize contacts for a personal CRM by storing people, interactions, and context in a private memory store. This enables local data persistence and category-based organization for long-term relationship management.

Can I use a CLI to add and search my private contacts memory store?

Yes, you can use a CLI-driven workflow to add, search, list, and update contacts in your private memory store. This method provides safe defaults and basic validation for managing your network interactions directly from the command line.

What categories can I use to organize my relationships and network contacts?

You can categorize contacts using family, close_friends, friends, colleagues, broader_community, strangers, bad_actors, and unknown. This classification system helps filter and manage your network within the private memory store.

Does this local memory store approach keep my contacts and interactions private?

Yes, this approach keeps contacts private by enforcing local data persistence. It stores relationship data, context, and interaction histories in a privacy-preserving memory store without relying on external servers.

What's the best way to persist relationship data for agents without external dependencies?

The best way to persist relationship data without dependencies is using a local memory store with a CLI-driven workflow. This method supports adding, searching, and updating contacts with safe defaults and basic validation.