wiki-enrich

Fill TODO sections of research wiki paper pages with fetched summaries.

Updated Jun 7, 2026
One-click install
npx skills add https://github.com/czh-ee-2023/zotero-aris --skill wiki-enrich-czh-ee-2023
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wiki-enrich
Source: https://github.com/czh-ee-2023/zotero-aris/tree/main/.claude/skills/wiki-enrich
Command: npx skills add https://github.com/czh-ee-2023/zotero-aris --skill wiki-enrich-czh-ee-2023

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires WebFetch, curl, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of enriching research wiki paper pages by filling in TODO sections with content fetched from external sources, streamlining the maintenance of a knowledge base.

Core Features & Use Cases

  • Automated Content Enrichment: Fills in TODO sections of paper pages with summaries fetched from various sources.
  • Source Flexibility: Allows selection of the source for content from options like alphaxiv, deepxiv, arXiv, and page abstract.
  • Batch Processing: Processes multiple papers at once, with options for batch enriching or specific target selection.

Quick Start

Run the command /wiki-enrich to enrich every paper with TODO sections or specify a paper by slug.

Frequently Asked Questions about wiki-enrich

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

FAQPage Schema
How do I automate research wiki paper enrichment with external summaries?

Research wiki paper enrichment is automated by fetching external content via web fetching tools and filling in TODO sections like the one-line thesis, problem, and method with generated summaries. The process targets specific papers or runs batch processing across the knowledge base.

What sources can I fetch paper summaries from for wiki page enrichment?

Paper summaries for wiki page enrichment can be fetched from alphaxiv, deepxiv, arXiv, and page abstracts. The tool utilizes a fallback chain across these external sources to ensure content aggregation succeeds even if one source is unavailable.

Can I batch process multiple paper pages to fill in TODO sections at once?

Yes, you can batch process multiple paper pages to fill in TODO sections at once. Running the enrichment command without a specific paper slug triggers batch processing, automatically updating all papers in your research wiki that have outstanding TODO sections.

Do I need web fetching dependencies to run automated paper summarization?

Yes, web fetching dependencies like WebFetch and curl are required to run automated paper summarization. These dependencies enable the tool to retrieve external content from sources like arXiv and route the fetched data into your research wiki's knowledge base maintenance workflow.

How does the fallback chain work when fetching content for knowledge base maintenance?

The fallback chain for knowledge base maintenance sequentially attempts to fetch paper content from configured external sources. If the primary source fails to return data, it automatically falls back to alternative sources like deepxiv or page abstracts to ensure the wiki enrichment process completes.

What is the best way to target a specific paper page for research automation updates?

The best way to target a specific paper page for research automation updates is to specify the paper by its slug when running the enrichment command. This bypasses batch processing and directly fetches external data to fill the TODO sections for that single paper.