llm-wiki

Manage and query markdown knowledge bases with analysis, updates, and validation.

11|2|Updated Jan 21, 2026
One-click install
npx skills add https://github.com/codingSamss/all-my-ai-needs --skill llm-wiki-codingsamss
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/codingSamss/all-my-ai-needs/tree/main/platforms/claude/skills/llm-wiki
Command: npx skills add https://github.com/codingSamss/all-my-ai-needs --skill llm-wiki-codingsamss

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the creation and management of long-term markdown knowledge repositories, ensuring information is persistent, organized, and easily retrievable.

Core Features & Use Cases

  • Ingest: Analyze external sources and update wiki pages with structured, relevant content for ongoing knowledge enrichment.
  • Query: Retrieve accurate information from the wiki, prioritizing existing content to reduce external lookups.
  • Lint: Assess the structural health of the wiki, identifying broken links, orphan pages, and inconsistencies to maintain data integrity.
  • Use Case: For a research team maintaining a project wiki, it simplifies continuous updates, ensures content quality, and supports complex information organization.

Quick Start

Ingest a new research paper into your wiki by analyzing its content and updating related pages.

Frequently Asked Questions about llm-wiki

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

FAQPage Schema
How do I maintain a markdown knowledge base for long-term project documentation?

To maintain a markdown knowledge base sustainably, you can ingest external sources to update pages, query existing content to retrieve information, and run structural lint checks to identify broken links and orphan pages for continuous integrity.

What is the best way to ingest external research papers into a wiki?

The best way to ingest external research into a wiki is to analyze the source content and automatically update related markdown pages with structured, relevant information, enriching the knowledge base without manual rewriting.

How does wiki linting identify broken links and orphan pages in markdown?

Wiki linting assesses the structural health of your markdown files by analyzing repository links and page references, accurately identifying broken connections, orphan pages, and structural inconsistencies to maintain overall data integrity.

Can I query my markdown knowledge base before searching external sources?

Yes, you can query your markdown knowledge base to retrieve accurate information directly, prioritizing existing internal content over external lookups to reduce redundant searches and streamline information retrieval.

Does this markdown wiki tool work for academic and technical documentation?

Yes, this markdown wiki tool is designed for academic, technical, and project documentation contexts, handling continual updates and integrity checks effectively to support complex information organization and sustainable workflows.

Why does my markdown wiki need structural validation during continuous updates?

Your markdown wiki needs structural validation during continuous updates to prevent data decay, ensuring that newly ingested content does not introduce broken links, orphan pages, or structural inconsistencies that compromise information integrity.