Manage custom ontologies with YAML definitions and Python validation scripts.
npx skills add https://github.com/zircote/mnemonic --skill ontology
Please help me install this Agent Skill. Skill: ontology Source: https://github.com/zircote/mnemonic/tree/main/skills/ontology Command: npx skills add https://github.com/zircote/mnemonic --skill ontology
This Skill allows you to define custom knowledge structures (ontologies) to organize and understand your data more effectively, enabling richer semantic understanding and discovery.
component and technology entity types, establish depends_on relationships, and use discovery patterns to automatically categorize new documentation.Use the ontology skill to list all available namespaces.
High-intent search queries and answers about installing and using this skill.
You define a custom ontology by creating YAML files that specify namespaces, entity types, traits, and relationships to structure knowledge representation. Python scripts then validate these definitions and resolve entities for your AI memory systems.
Entity resolution matches content to predefined namespaces and entity types using Python scripts. It automatically suggests relevant entities based on content patterns, enhancing memory recall and organizing domain-specific data within your knowledge graph.
Yes, YAML is used to define entity types, traits, and relationships for domain-specific modeling. This allows you to establish semantic web structures like `depends_on` connections between software components and technologies within your knowledge graph.
Entity discovery automatically suggests relevant entities and namespaces by analyzing content and file patterns. You configure these patterns within your ontology to categorize new documentation based on your defined domain structure.
Yes, Python scripts are utilized to validate your YAML ontology definitions and perform entity resolution. This validation ensures your custom namespaces and relationships are correctly structured before integrating with AI memory systems.
The best way is defining custom namespaces and entity types like `component` and `technology`, then establishing semantic relationships such as `depends_on`. This ontology structure enables richer semantic understanding and discovery across your domain.
mgd34msuValidate data structures with Zod schemas for TypeScript and JavaScript.
jannolan200211-ship-itConstruct and evolve a typed knowledge graph with enforced constraints.
DammianMillerManage a 4-layer memory system using SQLite and Qdrant for AI coding agents.
daffy0208Design, implement, and maintain knowledge graphs for complex entity relationships.