What problem does it solve?
This Skill helps users turn scattered research inputs into a compounding, persistent knowledge base so future questions can be answered from an organized set of interlinked notes rather than re-reading sources.
Core Features & Use Cases
- Compiling a knowledge base once, then keeping it current using an interlinked markdown wiki instead of per-query ad-hoc RAG.
- Structured wiki architecture with layers for raw immutable sources, agent-owned pages, and a schema that enforces conventions.
- Ingest, query, and lint workflows including orientation (SCHEMA/index/log), automatic cross-referencing, provenance marking for multi-source syntheses, and wiki consistency audits.
Quick Start
Use the llm-wiki skill to initialize a wiki at the configured WIKI_PATH by instructing the agent: “Create a new LLM research wiki for my domain, write the SCHEMA.md, index.md, and log.md, and then suggest the first sources I should ingest.”