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simple-llm-wiki

Ingest raw sources into immutable raw/ files and compile structured wiki articles.

8|1|Updated Feb 22, 2026
Search Tags:#linting#indexing#llm#knowledge base#wiki#citation#ingest
One-click install
npx skills add https://github.com/ccomkhj/skills --skill simple-llm-wiki
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: simple-llm-wiki
Source: https://github.com/ccomkhj/skills/tree/main/simple-llm-wiki
Command: npx skills add https://github.com/ccomkhj/skills --skill simple-llm-wiki

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you build and maintain a compounding LLM-powered knowledge base by reliably ingesting sources into a structured wiki instead of letting notes stay scattered or ephemeral.

Core Features & Use Cases

  • Ingest (raw → wiki): Fetch or accept a source, store it immutably in raw/, then compile it into wiki/ as organized articles.
  • Query: Answer questions by searching wiki/index.md, synthesizing from relevant articles, and citing those articles with linkable references.
  • Lint: Run deterministic consistency checks (index/file links, internal links, raw reference integrity, and cross-references) and heuristic audits (conflicts, outdated claims, orphan pages), logging results afterward.
  • Use case: Maintain a personal research vault where every new reading updates a topic article, keeps an operation log, and makes future Q&A fast and citeable.

Quick Start

Tell the AI to ingest and compile your first source into raw/ and wiki/ for example: “Ingest this article about transformer architectures and update the corresponding wiki topic pages.”

Frequently Asked Questions about simple-llm-wiki

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

FAQPage Schema
How do I build an LLM knowledge base from raw research sources?▼

Build an LLM knowledge base by ingesting raw sources into an immutable directory and compiling them into structured wiki articles. This process initializes the wiki structure, updates the index, and enables citeable Q&A.

What is the best way to organize a personal research vault for AI retrieval?▼

Organize a personal research vault by pairing a raw/ directory for immutable source files with a wiki/ directory for compiled articles. This structure maintains an index and operation log to make future AI retrieval fast and citeable.

How do I ensure wiki links and raw references stay consistent during knowledge base ingestion?▼

Ensure wiki consistency by running deterministic lint checks over wiki links and raw references after ingesting or archiving sources. These checks audit index and file links, cross-references, and flag orphan pages or outdated claims.

Can I query my ingested wiki articles and get cited references in the answer?▼

Query compiled wiki articles by searching the index and synthesizing relevant information. The system answers questions by citing those articles with linkable references to the underlying raw sources.

Do I need a specific directory structure to start ingesting sources into my knowledge base?▼

You need a raw/ directory for immutable source storage and a wiki/ directory for compiled articles. The system requires initializing this wiki structure on the first ingest to manage the index and log properly.

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