wiki

Create and maintain an interlinked markdown wiki with typed pages and provenance.

38|7|Updated May 3, 2026
One-click install
npx skills add https://github.com/theafh/ai-modules --skill wiki-theafh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wiki
Source: https://github.com/theafh/ai-modules/tree/main/plugins/knowledge_management/skills/wiki
Command: npx skills add https://github.com/theafh/ai-modules --skill wiki-theafh

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill turns scattered notes, sources, and research into a persistent, interlinked markdown wiki that stays consistent over time, so you can reliably answer questions without re-deriving context each session.

Core Features & Use Cases

  • Create and initialize a wiki with the required structure, schema conventions, and navigation files.
  • Ingest sources and organize knowledge into raw material plus typed wiki pages (entities, concepts, comparisons, queries, summaries, procedures).
  • Query, reconcile, and maintain quality by linting structure, links, tags, and provenance to keep the wiki healthy as it grows.

Quick Start

Activate the wiki skill to build your knowledge base by telling the AI: "Start my wiki at the nearest available wiki location and ingest the following source: [paste URL or text]."

Frequently Asked Questions about wiki

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

FAQPage Schema
How do I build a persistent markdown knowledge base from scattered research notes?

To build a persistent markdown knowledge base, you can initialize a structured wiki that ingests articles, papers, and notes into typed pages. This enforces flat file structures and provenance tracking to maintain context across sessions without re-deriving information.

How do I ingest external articles and papers into an interlinked wiki?

You can ingest external articles and papers by activating the wiki skill and directing it to process your pasted URLs or text. The system organizes this raw material into typed markdown pages like entities, concepts, and summaries while maintaining source provenance.

What is the best way to maintain markdown wiki structure as the knowledge base grows?

The best way to maintain markdown wiki structure is to run regular linting operations on the compiled contents. Linting validates schema conventions, internal links, tags, and provenance metadata to ensure the interlinked knowledge base remains healthy and consistent.

Does this markdown wiki approach support tracking source provenance for research synthesis?

Yes, tracking source provenance is supported through required frontmatter fields on typed markdown pages. This ensures every piece of ingested research material retains its origin metadata, enabling reliable research synthesis and query resolution.

When do I need schema validation for a markdown knowledge management workflow?

You need schema validation for a markdown knowledge management workflow when maintaining a flat file structure with typed pages. It enforces consistent organization across entities, concepts, and procedures, preventing broken links and structural drift as your wiki expands.

Can I query compiled wiki contents to answer questions without re-deriving context?

Yes, you can query the compiled wiki contents to answer questions directly. The interlinked markdown structure persists your ingested sources and research notes, allowing the system to retrieve synthesized answers without re-deriving context each session.