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liangdabiao
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llm-wiki

Convert URLs, PDFs, and local files into an interconnected wiki.

133|19|Updated Apr 29, 2026
Search Tags:#automation#knowledge#wiki#graph#multiplatform#ingest#digest
One-click install
npx skills add https://github.com/liangdabiao/llm-wiki --skill llm-wiki-liangdabiao
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/liangdabiao/llm-wiki/tree/main/.claude/skills/llm-wiki-skill
Command: npx skills add https://github.com/liangdabiao/llm-wiki --skill llm-wiki-liangdabiao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

llm-wiki automates turning scattered sources (web articles, PDFs, local files) into a structured, interlinked wiki you can grow over time.

Core Features & Use Cases

  • Ingest diverse materials (URLs, PDFs, Markdown) and convert them into wiki pages for entities, topics, and source summaries.
  • Build cross-source insights with a Mermaid knowledge graph and integrated search.
  • Maintain consistency across platforms (Claude Code, Codex, OpenClaw) using a single core workflow.

Quick Start

Initialize a knowledge wiki and start ingesting a URL to see immediate results.

Frequently Asked Questions about llm-wiki

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

FAQPage Schema
How do I turn fragmented notes and PDFs into an interlinked wiki?▼

To turn fragmented notes into an interlinked wiki, ingest URLs, PDFs, and local files to automatically convert them into structured pages, linking concepts and sources across your knowledge base.

Can I build a knowledge graph from multiple web articles and local Markdown files?▼

You can build a knowledge graph from web articles and Markdown by ingesting diverse materials to generate a Mermaid graph, creating cross-source insights and integrated search for your wiki.

Does the wiki automation workflow support cross-platform consistency?▼

The wiki automation workflow supports cross-platform consistency by maintaining a single core workflow across platforms like Claude Code, Codex, and OpenClaw, handling environment checks and fallbacks.

What is the best way to automate ingesting scattered documents into a structured knowledge base?▼

The best way to automate ingesting scattered documents is using end-to-end workflows for init, batch-ingest, and digest, which automatically structure sources into a growing, interlinked wiki.

How do I query and maintain consistency across ingested wiki pages?▼

You query and maintain wiki consistency by running the lint, query, and status workflows, which check environments, validate links, and manage the structured knowledge base.

What limitations exist when converting URLs and local files into a structured wiki?▼

Limitations when converting URLs and local files involve relying on environment checks and fallbacks to process diverse inputs, ensuring automated concept linking maintains source accuracy across pages.

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