ingest

Convert research papers into indexed wiki pages with cross-references and graph edges.

Updated May 23, 2026
One-click install
npx skills add https://github.com/duany049/multi-skill-orchestration --skill ingest-duany049
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ingest
Source: https://github.com/duany049/multi-skill-orchestration/tree/main/.claude/skills/ingest
Command: npx skills add https://github.com/duany049/multi-skill-orchestration --skill ingest-duany049

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It converts a single research paper (PDF/TeX/arXiv) into a structured set of interconnected wiki pages so your knowledge base stays consistent and graph-ready.

Core Features & Use Cases

  • Entity creation and enrichment: creates or updates paper pages plus linked concepts, methods, and people, with careful dedup behavior.
  • Cross-reference and graph wiring: writes forward and reverse wiki links atomically and appends citation/edge rows for the knowledge graph.
  • Operational resilience: handles common input sources (local files or arXiv URLs) and degrades gracefully when external services are unavailable.
  • Optional discovery and visualization: can run follow-up discovery to suggest related papers and regenerate canvas artifacts when requested.

Quick Start

Tell the system to ingest the paper from a local path or arXiv URL, and it will produce a fully wired paper page in the wiki with linked entities 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 knowledge graph wiki?

To ingest an arXiv paper into a knowledge graph wiki, provide the arXiv URL to generate a fully wired paper page with linked concepts, bidirectional cross-references, and graph edges.

Can I use local PDF or TeX files to create wiki pages with cross-references?

Yes, you can process local PDF and TeX files to create wiki pages with bidirectional cross-references, ensuring entities are deduplicated and linked consistently within the knowledge graph.

What is the best way to deduplicate wiki entities when adding research papers?

The best way to deduplicate wiki entities when adding research papers is using an ingestion process that applies careful deduplication behavior during entity creation and enrichment.

Does the paper ingestion process handle external service disruptions gracefully?

Yes, the paper ingestion process handles common input sources like local files and arXiv URLs, degrading gracefully when external services such as Semantic Scholar are unavailable.

How do I generate knowledge graph edges and citations from a research paper?

You generate knowledge graph edges and citations by ingesting the research paper, which atomically writes forward and reverse wiki links and appends citation rows via internal tools.

Can I discover related papers and visualize them after ingesting a document?

Yes, after ingesting a document you can run optional follow-up discovery to suggest related papers and regenerate canvas artifacts for visualization when requested.