llm-wiki

To organize markdown research notes into an interlinked knowledge base, this Skill processes source materials to ensure consistent tagging, relationships, and versioning. It requires a directory structure following a specified schema to manage workflows and support collaborative editing.

Maintaining versioning and cross-references in a markdown wiki is handled by processing source materials like articles and papers to ensure consistent relationships. The Skill facilitates structured knowledge management by enforcing a specified directory schema.

Yes, you can use a markdown wiki for academic research and project documentation. The Skill supports scholarly workflows by maintaining linked notes and summaries, allowing you to answer complex questions based on accumulated knowledge.

To initialize a new research wiki, instruct the AI to set up a new repository with a defined domain and prepare the necessary files for content ingestion. You can then immediately start adding relevant articles and notes to the structured wiki.

Yes, you need a specific directory schema for markdown knowledge management. The Skill requires a structured directory layout following the specified schema to properly organize documents, maintain persistent interconnections, and enable efficient querying.

Querying complex research questions directly from accumulated markdown notes is fully supported. The Skill enables you to build and query interlinked knowledge repositories, allowing the AI to answer scholarly questions based on your ingested source materials.