One-click install
npx skills add https://github.com/goupup-ai/miccai25 --skill wiki-enrich-goupup-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wiki-enrich
Source: https://github.com/goupup-ai/miccai25/tree/main/ARIS/skills/wiki-enrich
Command: npx skills add https://github.com/goupup-ai/miccai25 --skill wiki-enrich-goupup-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

When ingesting academic papers into a research wiki via literature ingestion skills, each paper is created as a bare scaffold with 10 empty TODO sections that require manual reading and summarization to complete. This skill eliminates that tedious manual work by automatically populating all empty sections with accurate, source-faithful content.

Core Features & Use Cases

  • Automated Section Filling: Populates all 10 fillable TODO sections (including one-line thesis, problem/gap, method, key results, and more) on scaffolded research wiki paper pages.
  • Graceful Content Fetching: Uses a prioritized 5-source fallback chain (alphaxiv, deepxiv, arXiv API, etc.) to retrieve paper content without manual lookup, degrading gracefully if a source is unavailable.
  • Protected Section Preservation: Never modifies auto-generated Connections sections or immutable original abstract blocks, and respects project context from research briefs and gap maps for relevance sections.
  • Use Case: After running a batch literature ingest for your research wiki, use this skill to automatically fill all paper entry TODOs instead of reading each paper individually.

Quick Start

Invoke the wiki-enrich skill to automatically populate all empty TODO sections in your research wiki's paper entries after a batch literature ingest.

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 empty TODO sections in a research wiki?

To automatically fill empty TODO sections in a research wiki, you can use an automated enrichment process that populates scaffolded paper pages with source-faithful content. This eliminates manual reading and summarization for each ingested paper.

What is the best way to summarize arXiv papers for a research knowledge base?

The best way to summarize arXiv papers for a research knowledge base is using an automated tool that fetches content via a prioritized fallback chain. This retrieves paper content from multiple external sources and degrades gracefully if one is unavailable.

Can I batch process paper scaffolds in a Karpathy LLM-wiki pattern?

Yes, you can batch process paper scaffolds in a Karpathy LLM-wiki pattern. Automated section filling supports batch processing of unfilled scaffolds to populate all 10 fillable TODO sections efficiently across multiple paper entries.

Does automated literature ingestion preserve auto-generated Connections sections?

Automated literature ingestion preserves auto-generated Connections sections by protecting them from modification. It also respects immutable original abstract blocks and aligns relevance sections with research brief and gap map files.

How do I populate paper entries after a batch literature ingest?

To populate paper entries after a batch literature ingest, invoke an automated enrichment skill on the scaffolded pages. It fetches the required paper content and fills all empty TODO sections without requiring manual lookup for each entry.