One-click install
npx skills add https://github.com/Estrella-231/Mathematical_modeling_tongmeng --skill paperzilla-estrella-231
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paperzilla
Source: https://github.com/Estrella-231/Mathematical_modeling_tongmeng/tree/main/.agents/skills/paperzilla
Command: npx skills add https://github.com/Estrella-231/Mathematical_modeling_tongmeng --skill paperzilla-estrella-231

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Paperzilla helps you quickly discover relevant projects and canonical papers, then turn them into usable research context without manually browsing scattered sources.

Core Features & Use Cases

  • Project and Recommendation Discovery: Browse project feeds and open specific recommendations or canonical papers by ID.
  • Markdown Summaries & Explanations: Retrieve content in markdown and summarize what matters for your research direction.
  • Feedback and Export: Leave upvotes/stars/downvotes and export items (papers, recommendations, feeds) as JSON or Atom for downstream use.

Quick Start

Ask: "Fetch the canonical paper ID <paper-id> as markdown and summarize its key methods and why it matters for my project."

Frequently Asked Questions about paperzilla

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

FAQPage Schema
How do I discover canonical research papers for a literature review?▼

You can discover canonical research papers for a literature review by fetching project recommendations and feeds through the Paperzilla CLI. It retrieves specific recommendations or canonical papers by ID, returning markdown summaries to quickly adapt paper context to your ongoing study.

How do I export project feeds and paper recommendations as JSON?▼

To export project feeds and paper recommendations as JSON, use the Paperzilla CLI to fetch the desired items. The Skill supports exporting papers, recommendations, and feeds as JSON or Atom formats for downstream use in your research pipeline.

What is the best way to summarize canonical papers in markdown?▼

The best way to summarize canonical papers in markdown is to request a specific paper by ID via the Paperzilla CLI. The Skill retrieves the content in markdown format, allowing you to extract key methods and explain why the paper matters for your project direction.

Do I need authentication to fetch paper recommendations from Paperzilla?▼

Yes, you need appropriate authentication to use the Paperzilla CLI for fetching project feeds, paper recommendations, and canonical paper content. This ensures secure access to retrieve markdown summaries or export data as JSON for AI-assisted literature exploration.

Can I leave feedback on retrieved research papers and recommendations?▼

You can leave feedback on retrieved research papers and recommendations by using the Paperzilla CLI to submit upvotes, stars, or downvotes. This helps refine future project feed recommendations within the platform.