wiki-enrich

Generate AI summaries to fill research wiki paper TODO sections.

Updated Jun 3, 2026
One-click install
npx skills add https://github.com/zhuyingqin/Aris --skill wiki-enrich-zhuyingqin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wiki-enrich
Source: https://github.com/zhuyingqin/Aris/tree/main/crates/runtime/assets/skills/wiki-enrich
Command: npx skills add https://github.com/zhuyingqin/Aris --skill wiki-enrich-zhuyingqin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the enrichment of research wiki paper TODO sections using AI-generated summaries, saving time and ensuring comprehensive information coverage.

Core Features & Use Cases

  • AI-Generated Summaries: Automatically generate summaries for research paper TODO sections.
  • Targeted Paper Enrichment: Fill in TODO sections for specific papers or all papers with TODOs.
  • Source Content Fetching: Fetches content from various sources like alphaxiv, deepxiv, arXiv, and semantic-scholar.
  • Use Case: After ingesting papers, use this Skill to automatically fill in sections like 'Problem', 'Method', 'Key Results', etc., with AI-generated summaries.

Quick Start

Run the command: /wiki-enrich <slug> to enrich a specific paper or /wiki-enrich all to enrich all papers with TODO sections.

Frequently Asked Questions about wiki-enrich

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

FAQPage Schema
How do I automatically fill in research paper TODO sections with AI summaries?

To automatically fill research paper TODO sections with AI summaries, you can use a knowledge management automation tool that fetches content from external sources like arXiv and semantic-scholar to populate sections such as Problem and Method.

Can I enrich all research wiki papers with TODO sections at once?

Yes, you can enrich all research wiki papers with TODO sections simultaneously by running an automation command for all targeted papers, which fetches and applies AI-generated summaries to the missing content.

What external sources are used for AI academic collaboration and paper enrichment?

AI academic collaboration and paper enrichment tools fetch source content from platforms like alphaxiv, deepxiv, arXiv, and semantic-scholar to generate comprehensive summaries for your research wiki.

Do I need internet access to automate research wiki paper enrichment?

Yes, you need internet access to automate research wiki paper enrichment because the process requires connecting to external API services to fetch academic content and generate AI summaries for your papers.

What specific sections can be populated using research paper AI summary automation?

Research paper AI summary automation can populate specific TODO sections within your academic knowledge base, including fields like Problem, Method, and Key Results, ensuring comprehensive information coverage.

How does targeted paper enrichment work for specific research wiki entries?

Targeted paper enrichment works by applying AI-generated summaries to specific research wiki entries identified by their slug, allowing you to systematically fill in missing TODO sections for individual academic papers.