simple-llm-wiki

What problem does it solve?

This Skill helps you build and maintain a compounding LLM-powered knowledge base by reliably ingesting sources into a structured wiki instead of letting notes stay scattered or ephemeral.

Core Features & Use Cases

• Ingest (raw → wiki): Fetch or accept a source, store it immutably in raw/, then compile it into wiki/ as organized articles.
• Query: Answer questions by searching wiki/index.md, synthesizing from relevant articles, and citing those articles with linkable references.
• Lint: Run deterministic consistency checks (index/file links, internal links, raw reference integrity, and cross-references) and heuristic audits (conflicts, outdated claims, orphan pages), logging results afterward.
• Use case: Maintain a personal research vault where every new reading updates a topic article, keeps an operation log, and makes future Q&A fast and citeable.

Quick Start

Tell the AI to ingest and compile your first source into raw/ and wiki/ for example: “Ingest this article about transformer architectures and update the corresponding wiki topic pages.”