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llm-wiki

Build and maintain a persistent interlinked markdown knowledge base from ingested sources.

Updated Apr 18, 2026
Search Tags:#markdown#research#knowledge base#obsidian#ingestion#wiki#rag-alternative
One-click install
npx skills add https://github.com/azaanaliraza/operarius --skill llm-wiki-azaanaliraza
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/azaanaliraza/operarius/tree/main/src-tauri/bin/hermes/skills/research/llm-wiki
Command: npx skills add https://github.com/azaanaliraza/operarius --skill llm-wiki-azaanaliraza

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Traditional RAG rediscovers knowledge from scratch on every query, losing cross-references and synthesis between sessions. This Skill maintains a persistent, compounding markdown wiki where sources are ingested once, contradictions are flagged, and knowledge stays current across sessions. ## Core Features & Use Cases - Source Ingestion: Capture URLs, PDFs, and pasted text into an immutable raw/ layer, then create or update cross-referenced entity, concept, and comparison pages. - Knowledge Querying: Answer domain questions by reading the index and relevant pages, citing wiki sources, and filing valuable syntheses back into the wiki. - Wiki Linting: Audit for orphan pages, broken wikilinks, stale content, tag taxonomy violations, and index completeness with severity-grouped reports. - Use Case: A researcher tracking AI/ML developments ingests arxiv papers and articles weekly; the agent updates entity pages, maintains the index and log, and the whole directory opens directly in Obsidian for browsing. ## 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 personal knowledge base with an LLM agent?▼

Initialize a wiki directory with a schema, index, and log file, then ingest sources one at a time. The agent creates cross-referenced markdown pages for entities and concepts, updates the index, and logs every action so knowledge compounds across sessions.

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

RAG retrieves and re-derives knowledge from raw documents on every query, while the wiki compiles knowledge once into curated markdown pages. Cross-references, contradiction flags, and synthesis persist between sessions instead of being recomputed.

Can I use Obsidian with a markdown wiki knowledge base?▼

Yes, the wiki directory works as an Obsidian vault out of the box since it uses standard wikilinks and YAML frontmatter. On headless servers, the obsidian-headless npm package syncs the vault via Obsidian Sync without a GUI.

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

Run the lint operation, which scans all wiki pages for broken wikilinks, orphan pages with no inbound links, missing index entries, invalid frontmatter, stale content, and tag taxonomy violations. Findings are reported grouped by severity.

When should the agent not create a new wiki page?▼

Pages should only be created when an entity or concept appears in two or more sources or is central to one source. Passing mentions and minor details stay out of the wiki to prevent page sprawl and noise.

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