firecrawl-research-index

Retrieve research papers via Firecrawl semantic search with in-body verification.

72|18|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/firecrawl/skills --skill firecrawl-research-index-firecrawl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: firecrawl-research-index
Source: https://github.com/firecrawl/skills/tree/main/skills/firecrawl-research-index
Command: npx skills add https://github.com/firecrawl/skills --skill firecrawl-research-index-firecrawl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires firecrawl_research_search_papers, firecrawl_research_related_papers, firecrawl_research_inspect_paper, firecrawl_research_read_paper, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of finding research papers by leveraging Firecrawl's advanced semantic search and expansion capabilities.

Core Features & Use Cases

  • Semantic Search: Utilizes semantic search to find papers that answer a research query.
  • Semantic and Structural Expansion: Expands search results through semantic and structural analysis to provide a comprehensive set of relevant papers.
  • In-Body Verification: Verifies the relevance of papers in the context of the query.
  • Use Case: When you need to find a set of papers that address a specific research question, this Skill can help you gather a comprehensive list of relevant papers quickly.

Quick Start

Use the firecrawl-research-index skill to find papers on "the impact of AI on healthcare".

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 research papers for a literature review using semantic search?

To find research papers for a literature review, this Skill uses semantic search to identify papers matching your query and expands results through structural analysis. It verifies relevance within the body text to ensure comprehensive academic literature retrieval.

What is semantic expansion when retrieving academic papers?

Semantic expansion in academic paper retrieval broadens your initial search results by analyzing semantic connections and structural data. It helps gather a more comprehensive set of relevant research papers that address your specific topic.

How do I verify if a research paper is actually relevant to my query?

To verify research paper relevance, this Skill performs in-body verification by checking the paper's content directly against your query. This ensures the retrieved academic papers genuinely address your research question.

Do I need Firecrawl API access to search for academic papers?

Yes, you need access to Firecrawl's research APIs to search for academic papers. The Skill requires these dependencies to process semantic and structural data for retrieving and inspecting relevant research papers.

What's the best way to gather comprehensive research papers on a specific topic?

The best way to gather comprehensive research papers on a specific topic is using a combination of semantic search and structural expansion. This approach identifies initial matches and broadens the scope to include related academic literature.

Can I read the full content of academic papers after retrieving them?

Yes, you can read the full content of academic papers after retrieval. The Skill uses dependencies like inspect_paper and read_paper to verify relevance and process the structural data within the retrieved research documents.