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llm-wiki

Ingest sources into an interlinked Markdown wiki with YAML frontmatter and provenance markers.

Updated Apr 23, 2026
Search Tags:#linting#markdown#provenance#wiki#linking#knowledge-base#ingest
One-click install
npx skills add https://github.com/Rawgrowth-Consulting/rawclaw-agent --skill llm-wiki-rawgrowth-consulting
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/Rawgrowth-Consulting/rawclaw-agent/tree/main/skills/research/llm-wiki
Command: npx skills add https://github.com/Rawgrowth-Consulting/rawclaw-agent --skill llm-wiki-rawgrowth-consulting

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Karpathy-inspired workflow to build and maintain a persistent, interlinked Markdown knowledge base. It ingests sources, creates cross-links between related topics, and enforces consistency across pages for reliable recall.

Core Features & Use Cases

  • Ingest sources: Add articles, papers, transcripts, and notes into a living wiki that grows and evolves over time.
  • Cross-link & lint: Automatically generate wikilinks between related pages and run consistency checks to flag contradictions.
  • Query & recall: Retrieve synthesized knowledge with cross-page search and provenance markers for traceability.

Quick Start

Ingest your first source into the wiki to start building your connected knowledge base.

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 persistent Markdown wiki from research sources?▼

Build a persistent Markdown wiki by ingesting articles, papers, and transcripts into a knowledge base that automatically cross-links concepts and enforces consistency for reliable recall.

Can I automatically cross-link related notes in a Markdown knowledge base?▼

Yes, you can cross-link related notes in a Markdown knowledge base by automatically generating wikilinks between related pages and running consistency checks to flag contradictions.

How does linting for consistency work across large note collections?▼

Linting for consistency works by running automated checks across large note collections to flag contradictions and enforce structural rules like YAML frontmatter, backlinking, and tagging.

What is the best way to trace provenance in an interlinked wiki?▼

The best way to trace provenance in an interlinked wiki is using provenance markers embedded in the notes, enabling cross-page search and synthesized knowledge retrieval with traceability.

Does this Markdown knowledge base require YAML frontmatter for structure?▼

Yes, this Markdown knowledge base requires YAML frontmatter for structure, alongside backlinking, tagging, and provenance markers to maintain consistency and traceability across pages.

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