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ignromanov
ignromanovCOMMUNITY
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ingest

Automate ingestion of raw source files into wiki pages with linked summaries.

20|2|Updated Apr 11, 2026
Search Tags:#automation#wiki#knowledge-base#cross-reference#ingest#raw-sources#domain-ingest
One-click install
npx skills add https://github.com/ignromanov/llm-obsidian-wiki --skill ingest-ignromanov
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ingest
Source: https://github.com/ignromanov/llm-obsidian-wiki/tree/main/skills/ingest
Command: npx skills add https://github.com/ignromanov/llm-obsidian-wiki --skill ingest-ignromanov

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

LLMs struggle to convert scattered raw material into coherent, cross-referenced knowledge. Ingest provides an automated workflow that transforms raw sources into structured wiki entries, generating a per-source summary and linking new content to existing concepts, entities, and decisions to build a cohesive knowledge base.

Core Features & Use Cases

  • Ingest raw sources into wiki pages and generate a concise source summary.
  • Cross-reference new information with existing pages and propagate updates across related content.
  • Support interactive, auto, batch, and domain modes to cover single-file and multi-source workflows.

Quick Start

Ingest a raw source by running the ingest flow on a target file.

Frequently Asked Questions about ingest

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

FAQPage Schema
How do I convert raw sources into structured wiki pages automatically?▼

To convert raw sources into structured wiki pages, use an automated ingestion flow that generates a concise source summary and links new content to existing concepts, entities, and decisions. This builds a cohesive knowledge base from scattered raw material.

What is the best way to build a cross-referenced knowledge base from scattered notes?▼

Building a cross-referenced knowledge base requires ingesting raw sources to generate linked concept, entity, and decision pages. The system computes source hashes for provenance and propagates updates across related content to maintain cohesiveness.

Can I batch ingest multiple raw files into my wiki at once?▼

Yes, you can batch ingest multiple raw files into your wiki. The ingestion workflow supports interactive, auto, batch, and domain modes to cover both single-file and multi-source workflows for building your knowledge base.

Do I need a specific vault setup or configuration to automate wiki page generation?▼

Yes, automating wiki page generation requires vault context and a wiki.config.md file. The script-driven tooling uses these prerequisites to process raw sources, compute source hashes, and record per-source summaries accurately.

How does cross-referencing work when new information is ingested into the knowledge base?▼

Cross-referencing works by linking newly ingested information with existing wiki pages. The system automatically propagates updates across related concepts, entities, and decisions to maintain a cohesive and persistent knowledge base.

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