llm-wiki

Builds and maintains an interlinked markdown knowledge base from ingested sources.

Updated Aug 22, 2026
One-click install
npx skills add https://github.com/vivekgoquest/hermes-agent-stable --skill llm-wiki-vivekgoquest
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/vivekgoquest/hermes-agent-stable/tree/main/skills/research/llm-wiki
Command: npx skills add https://github.com/vivekgoquest/hermes-agent-stable --skill llm-wiki-vivekgoquest

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, cross-linked, and kept current over time. ## Core Features & Use Cases - Source Ingestion: Captures URLs, PDFs, and pasted text into an immutable raw/ layer with sha256 drift detection, then creates or updates cross-referenced wiki pages. - Query & Synthesis: Answers domain questions from compiled wiki pages and files valuable answers back as query or comparison pages. - Lint & Health Checks: Audits the wiki for orphan pages, broken wikilinks, stale content, contradictions, tag sprawl, and source drift. - Use Case: A researcher tracking AI/ML papers ingests each new arxiv paper into the wiki; the agent updates entity and concept pages, links them with [[wikilinks]], and later answers questions by synthesizing across all ingested sources. ## Quick Start Create a new wiki at ~/wiki for AI research and ingest this article 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?▼

Initialize a wiki directory with SCHEMA.md, index.md, and log.md, then ingest sources one at a time. The agent creates entity and concept pages with [[wikilinks]], updates the index, and logs every action for a compounding knowledge base.

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

RAG retrieves and re-derives knowledge from raw documents on every query, while an LLM wiki compiles knowledge once into interlinked markdown pages. Cross-references, contradictions, and synthesis persist across sessions instead of being rediscovered.

Does the llm-wiki skill work with Obsidian?▼

Yes, the wiki directory works as an Obsidian vault out of the box since it uses [[wikilinks]] and YAML frontmatter. On headless servers, obsidian-headless can sync 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]], pages with zero inbound links, missing index entries, invalid frontmatter, stale content, and tags outside the schema taxonomy. Findings are grouped by severity.

When should I not create a new wiki page?▼

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