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noahsilve123
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firecrawl-research-index

Identify relevant research papers via semantic search and related analysis.

1|Updated Jul 3, 2026
Search Tags:#semantic search#research papers#literature review#AI research#paper retrieval
One-click install
npx skills add https://github.com/noahsilve123/claude-skillset --skill firecrawl-research-index
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: firecrawl-research-index
Source: https://github.com/noahsilve123/claude-skillset/tree/main/skills/firecrawl-research-index
Command: npx skills add https://github.com/noahsilve123/claude-skillset --skill firecrawl-research-index

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of locating relevant research papers efficiently and accurately, whether for single paper retrieval or comprehensive literature reviews.

Core Features & Use Cases

  • Semantic Search: Locate papers through abstract analysis and semantic understanding.
  • Expansive Analysis: Expand search results with related papers and in-depth metadata.
  • In-body Verification: Verify the presence of specific information within a paper's body.
  • Use Case: When searching for papers on AI and machine learning advancements, this Skill provides a comprehensive set of related papers, including seminal works and current developments.

Quick Start

Utilize the 'firecrawl-research-index' skill to search for papers related to "deep learning advancements in 2023".

Frequently Asked Questions about firecrawl-research-index

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

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

Semantic search streamlines literature reviews by analyzing abstracts to locate relevant research papers and expanding results with related works and in-depth metadata for comprehensive coverage.

What is the best way to retrieve AI and machine learning research papers?▼

Semantic paper retrieval identifies AI and machine learning advancements by matching abstracts and expanding search results to include both seminal works and current developments.

Can I verify if specific information exists within a paper's body text during retrieval?▼

In-body verification confirms the presence of specific information within a research paper's body text, ensuring that retrieved papers genuinely contain the concepts you need.

Does semantic search work for finding related papers across specialized fields?▼

Semantic and structural paper expansion works across specialized fields by analyzing abstracts and expanding search results with related papers, delivering comprehensive retrieval for domain-specific research.

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