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LLM Wiki Knowledge System

Knowledge Management Updated 2026.08.30

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Please install @user_fb9c3efc/llm-wiki-clean according to https://skillhub.cn/install/skillhub.md.

About this skill

Problem

Personal knowledge often lives in scattered articles, notes, PDFs, and clippings. An LLM can read a single document, but it usually lacks a durable maintenance loop, so ideas duplicate, conflict, or lose provenance over time. This skill turns raw material into a navigable Obsidian knowledge base.

How it works

  • Init: after you provide the vault path, it creates SCHEMA.md, raw/, wiki/, index.md, and log.md.
  • Ingest: reads an article, file, or directory, extracts viewpoints, entities, concepts, cases, and actions, then writes summary pages and updates entity/concept pages.
  • Links: uses [[wikilinks]] so related pages can be followed during later queries.
  • Query: locates relevant pages from the index, reads multi-level context, and answers with citations; useful answers can become analysis pages.
  • Lint: checks conflicts, orphan pages, missing pages, stale content, weak cross-references, and index consistency.

Boundaries

It depends on an Obsidian vault path and requires explicit first-time setup. raw/ is treated as read-only, so source material is not modified. It fits personal or team note organization, knowledge synthesis, and Q&A, but it is not a search engine, database, or automatic content production system.

Use Cases

  • Digest collected articles and notes into an Obsidian Wiki, then maintain entity, concept, and index pages.
  • Ask questions against the vault, following `[[wikilinks]]` to read context and return cited answers.
  • Run periodic health checks to find conflicts, orphan pages, missing pages, stale content, and index drift.
  • Ingest a long article or a folder of `.md` files, create source summaries, and connect related concepts.

Best For

  • Engineers maintaining an Obsidian vault who want scattered notes turned into a queryable wiki.
  • Developers doing technical research who need papers, articles, and product notes distilled into entity and concept pages.
  • Knowledge managers maintaining shared notes who want conflict, broken-link, and index consistency checks.
  • Researchers using LLM workflows who want cited answers from existing material and optional analysis pages.