What problem does it solve?
This Skill helps maintain the integrity and accessibility of session knowledge within the Mentci-AI repository, preventing loss of context and promoting semantic organization.
Core Features & Use Cases
- Session Knowledge Persistence: Automates the saving of session knowledge into structured locations within the repository.
- Semantic Routing: Directs knowledge into appropriate categories (Research, Library, Core, Components) based on Aski-FS Ontology.
- LFS Metadata Tagging: Integrates with Logical File System for metadata tagging and durability.
- Audit Integrity: Ensures atomic commits with full context headers for traceability.
- Use Case: For developers working on complex projects, this Skill aids in organizing research, specifications, and code artifacts according to logical structure, improving repository maintainability.
Quick Start
To persist session knowledge, run the skill with the context and category information, such as: logical-context-persistence --context="Research" --subject="AI-Modeling" --timestamp="20231012".