Dynamic Skillset Reference Architecture
15 days ago
- #AI Architecture
- #Dynamic Skillsets
- #Extensible Systems
- Dynamic skillset loading allows AI agents to discover and activate skillsets at runtime based on user intent.
- The architecture supports extensibility by enabling new skillsets to be added without core configuration changes.
- Skillset selection involves task analysis, capability mapping, priority assessment, and quality assurance.
- Content creation follows strict markdown formatting and citation standards for accuracy and clarity.
- Research protocols include query formulation, source diversification, fact verification, and synthesis.
- Behavioral guidelines emphasize user interaction, conversation management, and personalization.
- Safety and compliance include content restrictions, ethical guidelines, and privacy protection.
- Examples demonstrate response patterns for technical documentation and multi-domain research requests.
- Edge cases address unclear requests and conflicting requirements with structured solutions.
- A quality checklist ensures responses meet standards before delivery.