houmao-utils-llm-wiki

Maintain a persistent Markdown wiki with ingestion, compilation, querying, and audit workflows.

18|3|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/igamenovoer/houmao --skill houmao-utils-llm-wiki
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: houmao-utils-llm-wiki
Source: https://github.com/igamenovoer/houmao/tree/main/src/houmao/agents/assets/system_skills/houmao-utils-llm-wiki
Command: npx skills add https://github.com/igamenovoer/houmao --skill houmao-utils-llm-wiki

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Organizes long-running research knowledge into a persistent, cross-linked Markdown wiki that can be incrementally improved with ingestion, compilation, linting, query-grounded answers, and human audit feedback.

Core Features & Use Cases

  • Scaffold a complete wiki directory layout and schema baseline for a new research domain.
  • Ingest raw sources (articles, papers, PDFs, notes, web pages) into an immutable raw store plus LLM-generated summaries, concepts, and entities.
  • Compile and restructure wiki pages into focused, navigable, cross-linked articles while keeping the index accurate.
  • Query the wiki with grounded answers and optionally promote durable results back into maintained concept pages.
  • Lint & Audit the wiki for dead links, orphan pages, missing index entries, and human corrections via an anchored audit workflow, plus run viewer deployment/launch.

Quick Start

Use the houmao-utils-llm-wiki skill to scaffold a new wiki, then ingest your first batch of sources, then run lint to ensure links and index coverage are healthy.

Frequently Asked Questions about houmao-utils-llm-wiki

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

FAQPage Schema
How do I build a persistent Markdown knowledge base for long-running research?

You can scaffold a complete wiki directory layout, ingest raw sources into an immutable store, and compile cross-linked Markdown articles to maintain a persistent knowledge base. This ensures research compounds safely across sessions.

What's the best way to organize raw research materials into a cross-linked wiki?

Organizing raw research materials involves ingesting articles and PDFs into an immutable raw store, generating LLM summaries, and compiling them into focused, navigable, cross-linked wiki pages while keeping the index accurate.

How do I lint a local wiki for dead links and orphan pages?

You can lint a local wiki by running deterministic wiki operations to detect dead links, orphan pages, and missing index entries. This enforces structural directory layout and ensures healthy link and index coverage.

Can I render Mermaid diagrams and KaTeX in a local web viewer for my wiki?

Yes, a durable local web viewer renders Mermaid diagrams and KaTeX for your ingested Markdown knowledge base. This provides local visualization of complex academic concepts and diagrams.

How do I process human audit feedback to correct LLM-generated wiki content?

You process human audit feedback through an anchored audit workflow that enforces resolution requirements for safe, consistent updates. This allows incremental improvement and corrections to LLM-generated wiki pages.

Does this wiki compilation approach work for incremental updates across sessions?

Yes, the wiki compilation approach applies to long-running research wikis where raw materials must be preserved and knowledge compounds across sessions. It restructures pages into focused articles while maintaining an accurate index.