ontology

Create and query typed entity relationship graphs with validation scripts.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/Muchunpeng/openclaw-config --skill ontology-muchunpeng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ontology
Source: https://github.com/Muchunpeng/openclaw-config/tree/main/workspace/skills/ontology
Command: npx skills add https://github.com/Muchunpeng/openclaw-config --skill ontology-muchunpeng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ontology provides a typed knowledge graph to model entities, their properties, and relationships, enabling verifiable memory and safe, reusable skill interconnections.

Core Features & Use Cases

  • Typed entity models with constraints to enforce data quality
  • Graph traversal, linking, and dependency tracking across agents and skills
  • Cross-skill state sharing and planning with graph transformations

Quick Start

Initialize the ontology storage and start creating entities and relationships using the CLI.

Frequently Asked Questions about ontology

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

FAQPage Schema
How do I build a structured memory graph for multi-skill workflows?

Build a structured memory graph by organizing knowledge as a typed ontology mesh of entities, relationships, and constraints. This enables verifiable memory and safe, reusable skill interconnections across multi-skill workflows.

What is the best way to model entities and relationships for cross-skill state sharing?

Model entities and relationships using typed entity models with constraints to enforce data quality. This typed ontology mesh supports cross-skill state sharing and planning through graph transformations.

How does schema-driven validation work for a knowledge graph?

Schema-driven validation works by applying constraints to typed entity models within the ontology mesh. It enforces data quality through a mutation and validation pipeline that supports append-only edits.

Can I query and link entities across agents using a typed ontology mesh?

Yes, you can query and link entities across agents using graph traversal, linking, and dependency tracking. The ontology mesh provides commands to create, query, relate, and validate entities like Person, Project, Task, and Event.

What are the limitations of using append-only edits in a typed ontology mesh?

Append-only edits in a typed ontology mesh prevent destructive updates, restricting mutations to safe, schema-driven additions. This ensures verifiable memory and data integrity but limits direct modifications to existing graph entities.