llm-wiki

Name: llm-wiki
Availability: InStock
Author: ai-ecoverse

Compile raw sources into an interlinked markdown wiki with ingest, query, and lint workflows.

3|Updated Mar 23, 2026

Search Tags:#markdown #query #wiki #linking #lint #knowledge-base #ingest

Ready to run

npx skills add https://github.com/ai-ecoverse/skills --skill llm-wiki-ai-ecoverse

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/ai-ecoverse/skills/tree/main/skills/llm-wiki
Command: npx skills add https://github.com/ai-ecoverse/skills --skill llm-wiki-ai-ecoverse

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Persistent markdown wiki to organize knowledge by compiling raw sources into interconnected pages, enabling long-term knowledge compounding and re-use across questions.

Core Features & Use Cases

Ingest raw sources (articles, papers, notes) into a wiki with summaries and backlinks.
Query the wiki with citations and cross-links, enabling rapid knowledge retrieval.
Lint and maintain the knowledge base to detect broken links, orphan pages, and inconsistencies.
Use cases include creating a personal research wiki, archiving project knowledge, and building topic-focused knowledge bases.

Quick Start

Create or locate your wiki root, then install the wiki sprinkle and begin ingesting sources to populate the knowledge base.

Frequently Asked Questions about llm-wiki

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

FAQPage Schema

How do I build a persistent markdown wiki from raw research notes and articles?▼

You can build a persistent markdown wiki by ingesting raw sources like articles and notes into an interconnected knowledge base. The system compiles these sources into coherent pages with summaries and backlinks, enabling long-term knowledge compounding and reuse across queries.

How do I cross-link markdown pages and detect broken links in my knowledge base?▼

To cross-link markdown pages and detect broken links, use the lint capability to maintain your knowledge base. It identifies broken links, orphan pages, and inconsistencies, ensuring your wiki remains coherent and properly interconnected during ongoing ingestion and updates.

What is the best way to query a markdown knowledge base with citations?▼

The best way to query a markdown knowledge base is using the built-in query-driven retrieval system. It retrieves information from your ingested sources with direct citations and cross-links, enabling rapid and accurate knowledge extraction from your interconnected notes.

Can I ingest academic papers into a personal wiki and automatically generate backlinks?▼

Yes, you can ingest academic papers into a personal wiki. The system automatically processes raw sources to generate summaries and backlinks, compiling them into a schema-driven markdown structure that updates the index and log for persistent knowledge archiving.

How does schema-driven workflow ingestion work for a markdown knowledge base?▼

Schema-driven workflow ingestion works by routing raw sources through a supported sprinkle and cone architecture. It reads your wiki root, processes the ingested content, updates the index and log, and enforces structural consistency across your markdown knowledge base.

What should I do if my markdown wiki has orphan pages and inconsistencies?▼

If your markdown wiki has orphan pages and inconsistencies, run the lint capability. It detects these structural issues along with broken links, allowing you to maintain a coherent, interconnected knowledge base during continuous ingestion and querying.