What problem does it solve?
This Skill prevents research notes and source material from becoming a disconnected, duplicate-filled archive by organizing them into a persistent, searchable, and interconnected markdown knowledge base.
Core Features & Use Cases
- Wiki Initialization: Create a structured wiki with schema, index, activity log, raw sources, entities, concepts, comparisons, and query archives.
- Research Ingestion and Synthesis: Capture sources, extract key information, update existing pages, add cross-references, preserve provenance, and track source changes.
- Query and Quality Management: Answer questions from the wiki and audit broken links, orphan pages, missing index entries, stale content, contradictions, weak confidence signals, and taxonomy violations.
- Use Case: When researching AI systems across articles and papers, use this Skill to ingest sources, consolidate recurring entities and concepts, link related findings, and file valuable analyses for future retrieval.
Quick Start
Use the llm-wiki skill to initialize or update my knowledge base from the research source I provide, following its schema and recording all changes.