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llm-wiki

Automate creation and maintenance of structured wikis from articles, PDFs, and social media.

212|94|Updated Apr 7, 2026
Search Tags:#knowledge base#competitive intelligence#content ingestion#cross-referencing#book summary#contradiction detection#wiki automation
One-click install
npx skills add https://github.com/mduongvandinh/llm-wiki --skill llm-wiki-mduongvandinh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/mduongvandinh/llm-wiki/tree/main/skills/llm-wiki
Command: npx skills add https://github.com/mduongvandinh/llm-wiki --skill llm-wiki-mduongvandinh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually building and maintaining a structured personal knowledge base with cross-references, contradiction detection, and up-to-date information is extremely time-consuming and error-prone, especially as the volume of source material grows.

Core Features & Use Cases

  • Automated Wiki Construction: Automatically process raw sources (articles, PDFs, Reddit threads) into structured wiki pages with entities, concepts, and cross-references, while flagging contradictions between sources.
  • Pre-built Variants: Ready-to-use templates for common use cases including book reading companions, competitive intelligence tracking, and job search research, with demo data included.
  • Full Lifecycle Management: End-to-end commands for discovering new sources, ingesting content, querying the wiki, linting for issues, generating daily digests, and ranking business pain points from collected data.
  • Use Case Example: Drop research notes about AI agents into a raw folder, run the full workflow cycle, and get a structured, searchable wiki with detected contradictions and actionable insights for product development.

Quick Start

Use the llm-wiki skill to set up a book-companion wiki for your current read, then ingest the chapter notes you dropped into the raw folder to automatically build a structured wiki with character, timeline, and faction entries.

Frequently Asked Questions about llm-wiki

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

FAQPage Schema
How do I automatically build a personal knowledge base from unstructured PDFs and articles?▼

Automated wiki construction processes raw unstructured sources like PDFs, articles, and social media threads into structured wiki pages with entities, concepts, and cross-references. It flags contradictions between sources and synthesizes insights for research workflows.

Can I track competitive intelligence by ingesting raw research notes and social media content?▼

Competitive intelligence tracking is supported by ingesting raw research notes and social media content into a structured wiki. The workflow detects contradictions, generates cross-references, and ranks business pain points from collected data.

What do I need to set up before automating knowledge base ingestion and cross-reference generation?▼

Knowledge base ingestion requires a configured wiki root directory with CLAUDE.md schema rules, config.yaml settings, and designated raw and wiki folder structures. These prerequisites ensure the automated ingestion and cross-reference workflows operate correctly.

Does contradiction detection work when consolidating information from multiple book chapter notes?▼

Contradiction detection works by cross-referencing consolidated information from multiple book chapter notes ingested into the raw folder. It flags conflicting details between sources, ensuring character, timeline, and faction wiki entries remain consistent.

What is the best way to maintain a self-updating wiki without manual content formatting?▼

Self-updating wiki maintenance is best handled by running the full lifecycle workflow cycle, which includes discovering new sources, ingesting content, linting for issues, and generating daily digests to keep the structured pages current automatically.

Are there limitations when using a single wiki structure for both book summaries and job search research?▼

Limitations depend on your configured schema rules; the same wiki structure supports both book summaries and job search research through pre-built variants, but mixing use cases in one root directory may cause cross-reference confusion without distinct folder structures.

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