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ingest

Convert research papers into cross-referenced EmpiricalWiki pages with bidirectional links.

77|16|Updated May 9, 2026
Search Tags:#knowledge graph#deduplication#arxiv#ingest#research workflow#wiki linking#pdf to tex
One-click install
npx skills add https://github.com/Lambenthan/empiricalwiki --skill ingest-lambenthan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ingest
Source: https://github.com/Lambenthan/empiricalwiki/tree/main/.claude/skills/ingest
Command: npx skills add https://github.com/Lambenthan/empiricalwiki --skill ingest-lambenthan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It converts a research paper into a set of consistently cross-referenced wiki pages, so you don’t have to manually create and wire up paper, concepts, claims, and people.

Core Features & Use Cases

  • Paper-to-wiki page generation: Creates a complete paper page plus associated concepts, claims, and people pages with correct frontmatter and article structure.
  • Bidirectional linking & graph edge writing: Ensures links are written with the required two-way consistency for the current operation (and writes the corresponding graph/citation records through tools).
  • Deduplication-first entity handling: Merges or creates concepts/claims based on similarity tools and conservative per-paper creation limits to avoid wiki bloat.
  • Optional discovery of follow-up papers: When explicitly enabled with --discover, appends a shortlist of related papers to the report without ingesting them automatically.

Quick Start

Use ingest to add a paper to your wiki by telling the AI the source path or arXiv URL, for example: ingest a paper from https://arxiv.org/abs/2106.09685 into your EmpiricalWiki.

Frequently Asked Questions about ingest

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

FAQPage Schema
How do I convert a research paper into a knowledge graph wiki?▼

To convert a research paper into a knowledge graph wiki, ingest the paper from an arXiv URL or local PDF to automatically generate cross-referenced pages for concepts, claims, and people with bidirectional graph edges.

Can I create wiki pages from local PDF and LaTeX files?▼

Yes, you can create wiki pages from local PDF and LaTeX files by providing the file paths to the ingest process, which parses the content and generates properly structured wiki pages with correct frontmatter.

How does deduplication work when adding concepts from multiple papers?▼

Deduplication works by applying similarity tools and conservative per-paper creation limits to merge existing concepts or claims, preventing knowledge graph bloat and ensuring consistent bidirectional linking across papers.

How do I find related papers during the wiki generation process?▼

To find related papers during wiki generation, explicitly enable discovery mode using the --discover flag, which appends a shortlist of follow-up papers to your report without automatically ingesting them.

What is the best way to link research concepts and claims across a knowledge graph?▼

The best way to link research concepts and claims across a knowledge graph is to use an automated ingest workflow that enforces slug assignment and writes bidirectional links, ensuring two-way consistency for all entities.

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