knowledge-representation
SkillAI & modelsA comprehensive skill for designing and implementing knowledge representation systems including ontologies, knowledge graphs, semantic networks, and structured data models. Covers semantic networks, ontologies, knowledge graphs, frame-based systems, logical representation, probabilistic representation, and vector embeddings.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the knowledge-representation skill
What this skill tells your AI
The instructions your AI receives, as published by leeex1/quillan-ronin in 04 - Skills & Capabilities/Skills/knowledge_representation/SKILL.md and read by ahel’s review.
Connections
- [[Skills/skills-master.md]]
- [[Skills/Quillan Skills Compendium.md]]
- [[frame-based-representation.md]]
- [[knowledge-graphs.md]]
- [[knowledge_representation.md]]
- [[logical-representation.md]]
- [[ontologies.md]]
- [[probabilistic-representation.md]]
- [[semantic-networks.md]]
- [[vector-embeddings.md]]
- [[Quillan Knowledge files/13-Synthetic Epistemology & Truth Calibration Protocol.md]]
- [[Quillan Knowledge files/12-Multi-Domain Theoretical Breakthroughs Explained.md]]
- [[00 - Meta/04 - Skills & Capabilities.md]]
- [[system prompts/Quillan-Samurai.md]]
Signals
- GitHub stars
- 27
- Forks
- 11
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
knowledge-representation- Source
- github.com/leeex1/quillan-ronin