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llm-wiki

Build and maintain an interlinked markdown knowledge base from ingested sources.

6|Updated Jul 12, 2026
Search Tags:#markdown#research#knowledge base#obsidian#ingestion#wiki#wikilinks
One-click install
npx skills add https://github.com/josoroma/AppLoop --skill llm-wiki-josoroma
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/josoroma/AppLoop/tree/main/.hermes/skills/research/llm-wiki
Command: npx skills add https://github.com/josoroma/AppLoop --skill llm-wiki-josoroma

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Traditional RAG rediscovers knowledge from scratch on every query, losing cross-references and synthesis. This Skill maintains a persistent, compounding markdown wiki where sources are ingested once, cross-linked, linted, and kept current over time. ## Core Features & Use Cases - Source Ingestion: Capture URLs, PDFs, and pasted text into an immutable raw/ layer with sha256 drift detection, then synthesize entity, concept, and comparison pages with wikilinks and provenance markers. - Query & Synthesis: Answer questions from the compiled wiki, citing pages, and file valuable answers back as query or comparison pages. - Wiki Linting: Audit for orphan pages, broken wikilinks, stale content, contradictions, tag taxonomy violations, and source drift. - Use Case: A researcher tracking AI/ML developments ingests arxiv papers and articles weekly; the agent updates entity pages, flags contradictions between sources, and keeps an Obsidian-compatible vault synchronized across devices. ## Quick Start Ask the agent to create a new wiki for your research domain and ingest your first source URL into it.

Frequently Asked Questions about llm-wiki

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a markdown knowledge base with an AI agent?▼

Set the WIKI_PATH environment variable, then ask the agent to initialize a wiki. It creates SCHEMA.md, index.md, log.md, and raw/entities/concepts directories, then ingests sources into cross-linked markdown pages.

What is the difference between an LLM wiki and RAG?▼

RAG retrieves and re-derives knowledge per query, while the wiki compiles knowledge once into persistent markdown pages. Cross-references, contradictions, and synthesis are maintained continuously rather than rediscovered each time.

Does the llm-wiki skill work with Obsidian?▼

Yes, the wiki directory works as an Obsidian vault out of the box with wikilinks, graph view, and Dataview-compatible frontmatter. On headless servers, obsidian-headless can sync the vault to desktop devices.

How do I check a markdown wiki for broken links and orphan pages?▼

Ask the agent to lint the wiki. It scans for orphan pages with no inbound wikilinks, broken links, missing index entries, stale content, tag taxonomy violations, and sha256 source drift, then reports findings by severity.

When should I not create a new wiki page?▼

Do not create pages for passing mentions or minor details. The schema thresholds require an entity or concept to appear in 2+ sources or be central to one source before warranting its own page.

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