llm-wiki

Ingest raw sources into an indexed, append-only markdown wiki.

126|11|Updated Feb 24, 2026
One-click install
npx skills add https://github.com/HybridAIOne/hybridclaw --skill llm-wiki-hybridaione
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-wiki
Source: https://github.com/HybridAIOne/hybridclaw/tree/main/skills/llm-wiki
Command: npx skills add https://github.com/HybridAIOne/hybridclaw --skill llm-wiki-hybridaione

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of maintaining a durable, self-updating knowledge base by integrating new raw sources into an organized wiki over time instead of regenerating answers from scratch each turn.

Core Features & Use Cases

  • Incremental ingest with coherence: Read the wiki schema and current state, summarize new sources into wiki/sources/, and update related entities, concepts, and analyses while preserving cross-references.
  • Persistent indexing and auditability: Maintain index.md as the catalog of what exists and append structured activity entries to log.md to track create, ingest, query artifacts, lint passes, and archives.
  • Schema-driven maintenance: Use AGENTS.md as the workflow and frontmatter contract, including link style, taxonomy, thresholds, and conflict handling, to prevent drift and duplicate pages.

Quick Start

Ask the assistant to ingest the attached document into your LLM wiki at the specified wiki root, updating summaries, relevant entities, and the index with an append-only log entry.

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 markdown wiki from raw research sources incrementally?

A markdown wiki ingests raw sources incrementally by summarizing new inputs, updating related entities and concepts, and logging all changes to an append-only knowledge layer to maintain coherence over time.

What is the best way to maintain an append-only knowledge base for research synthesis?

Maintain an append-only knowledge base by using a schema-driven workflow that reads current state before writing, updating cross-references and an index while logging all file changes to prevent duplicate pages and drift.

How does entity extraction work when ingesting documents into a knowledge base?

Entity extraction during ingest works by reading the existing wiki schema, summarizing the new source, and synthesizing extracted entities and concepts into maintained wiki pages while preserving cross-references.

Can I use a three-layer file layout to prevent duplicate pages in my markdown wiki?

Yes, you can prevent duplicate pages by honoring a three-layer layout separating raw immutable inputs, maintained wiki pages, and AGENTS governance files to enforce taxonomy, link style, and conflict handling thresholds.

Do I need to perform orientation reads before updating my research knowledge base?

Yes, you need to perform orientation reads before updating your research knowledge base to check the current index and schema state, preventing data drift and ensuring new ingests merge cleanly with existing wiki pages.

When should I not use an incremental ingest workflow for source summaries?

You should not use an incremental ingest workflow for source summaries if your project requires regenerating answers from scratch each turn instead of maintaining a persistent, cross-referenced, and audit-friendly markdown wiki structure.