ingest

Create wired wiki pages and graph edges from arXiv, TeX, or PDF sources.

1.6k|208|Updated Apr 9, 2026
One-click install
npx skills add https://github.com/skyllwt/OmegaWiki --skill ingest-skyllwt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ingest
Source: https://github.com/skyllwt/OmegaWiki/tree/main/i18n/en/skills/ingest
Command: npx skills add https://github.com/skyllwt/OmegaWiki --skill ingest-skyllwt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Ingest a paper into the ΩmegaWiki by creating wired wiki pages for papers, concepts, people, and claims and by building cross-references and graph edges, enabling a persistent knowledge graph from a single source of truth.

Core Features & Use Cases

  • Create wiki pages for papers, concepts, people, and claims and establish forward and reverse links to build a comprehensive knowledge graph.
  • Apply deduplication policies to concept and claim candidates, and create edges according to cross-reference rules, with support for initial modes like INIT MODE.
  • Integrate with existing wiki infrastructure, update wiki/index.md, and emit graph edges and backlinks to ensure bidirectional consistency.

Quick Start

Provide the paper source (arXiv URL, local TeX, or PDF) and run the ingest flow to generate wired wiki pages and graph edges.

Frequently Asked Questions about ingest

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

FAQPage Schema
How do I ingest an arXiv paper into a connected knowledge graph?

To ingest an arXiv paper into a knowledge graph, provide the URL to the ingest flow. It automatically extracts concepts, people, and claims, then writes wired wiki pages and graph edges to establish a connected structure.

What is the best way to build cross-references between academic papers and concepts?

Building cross-references is done by creating wiki pages for papers and concepts, then applying cross-reference rules to generate forward and reverse links. This ensures bidirectional consistency and a persistent knowledge graph from a single source.

Can I ingest local TeX and PDF files into a wiki knowledge graph?

Yes, you can ingest local TeX and PDF files into a wiki knowledge graph. The ingest flow accepts these local sources alongside arXiv URLs, parses the content, and writes structured wiki pages and graph edges.

How does deduplication work when ingesting multiple academic papers?

Deduplication works by applying specific policies to concept and claim candidates during the paper ingest process. It checks for existing entries before writing, preventing redundant wiki pages and ensuring a clean, connected knowledge graph.

Where can I find gaps or missing edges after a paper ingest?

After a paper ingest, you can find gaps or missing edges by checking the `/check` endpoint. The ingest process surfaces follow-up work and structural gaps there, ensuring the wiki graph maintains integrity and complete cross-references.