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llm-wiki

Build and maintain an interlinked Markdown knowledge base with provenance tracking.

13|3|Updated May 12, 2026
Search Tags:#markdown#wiki#knowledge-base#information-management#llm-wiki#interlinking
One-click install
npx skills add https://github.com/kevinnft/ai-agent-skills --skill llm-wiki-kevinnft
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/kevinnft/ai-agent-skills/tree/main/skills/research/llm-wiki
Command: npx skills add https://github.com/kevinnft/ai-agent-skills --skill llm-wiki-kevinnft

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating and maintaining a growing collection of interlinked knowledge notes across multiple sources is error-prone and time-consuming. This Skill provides a structured workflow to build and maintain a persistent Markdown-based knowledge base (wiki) that cross-references notes, tracks provenance, and enables efficient querying.

Core Features & Use Cases

  • Interlinked Markdown knowledge base that lives alongside raw sources for research and collaboration.
  • Automated cross-linking, provenance tagging, and versioning to keep information coherent over time.
  • Use Case: ingest diverse sources, organize concepts and entities, then answer questions by citing related pages.

Quick Start

Start by creating or loading a wiki directory and begin ingesting sources to build cross-referenced pages.

Frequently Asked Questions about llm-wiki

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

FAQPage Schema
How do I build an interlinked Markdown knowledge base from multiple sources?▼

Build an interlinked Markdown knowledge base by creating a directory structure with wiki/, raw/, entities/, and concepts/ folders. Ingest diverse sources into raw, then generate cross-referenced pages with provenance tags and wikilinks defined by a SCHEMA.md file.

What is the best way to maintain consistency across an interlinked wiki over time?▼

Maintain wiki consistency by auditing cross-referenced pages, tracking provenance markers, and updating wikilinks. A structured directory with a SCHEMA.md file ensures frontmatter and interlinking remain coherent during ongoing maintenance.

How do I query a Markdown wiki and cite related pages when answering research questions?▼

Query a Markdown wiki by asking questions against the ingested sources. The system retrieves interlinked pages and answers by citing related concepts and entities using tracked provenance markers.

Do I need a specific directory structure to organize a persistent research wiki?▼

A persistent research wiki requires a directory structure with wiki/, raw/, entities/, concepts/ folders, and a SCHEMA.md file. This structure organizes raw sources, defines frontmatter, and manages wikilinks and provenance markers.

How does provenance tagging work when ingesting raw sources into a knowledge base?▼

Provenance tagging tracks raw sources within the knowledge base during ingestion. SCHEMA.md defines provenance markers in frontmatter, ensuring every interlinked Markdown page maintains a verifiable link to its original source.

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