paper-discovery

Identify and rank relevant literature for a given topic using faceted search.

92|5|Updated Feb 17, 2026
One-click install
npx skills add https://github.com/Agents2AgentsAI/ata --skill paper-discovery-agents2agentsai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-discovery
Source: https://github.com/Agents2AgentsAI/ata/tree/main/codex-rs/skills/src/assets/research/paper-discovery
Command: npx skills add https://github.com/Agents2AgentsAI/ata --skill paper-discovery-agents2agentsai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps researchers quickly surface and rank relevant literature for a given topic, enabling focused reading and synthesis.

Core Features & Use Cases

  • Faceted search to identify literature clusters around a topic.
  • Reading view-style briefing that presents key insights and relationships between papers.
  • Automatic synthesis across multiple papers to support a literature overview or research planning.

Quick Start

Ask the AI to surface foundational papers on your topic and present a concise landscape briefing.

Frequently Asked Questions about paper-discovery

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

FAQPage Schema
How do I find relevant research papers for a literature review?

To find relevant research papers for a literature review, this skill uses faceted search to identify literature clusters around your topic and ranks them based on internal metadata like titles, citations, and abstracts.

What is the best way to synthesize insights across multiple research papers?

The best way to synthesize insights across multiple research papers is using the automatic synthesis feature, which generates a reading view-style briefing that highlights key insights and relationships between the papers.

Can I get raw PDFs of the papers through this literature discovery process?

No, you cannot get raw PDFs through this literature discovery process. The ranking and synthesis rely strictly on internal paper metadata such as titles, authors, year, abstracts, and citations.

Does this tool provide a structured landscape briefing for topic exploration?

Yes, this tool provides a structured landscape briefing for topic exploration by surfacing foundational papers and presenting concise overviews that support research planning and focused reading.

How does faceted search help with topic exploration and ranking papers?

Faceted search helps with topic exploration by structuring internal paper metadata into identifiable literature clusters, allowing the system to rank papers and present key relationships for focused reading.