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Firecrawl Research Papers

  • 30.7k installs
  • 101 repo stars
  • Updated June 19, 2026
  • firecrawl/firecrawl-workflows

firecrawl-research-papers is a Firecrawl workflow skill that gathers and synthesizes academic papers and technical reports into literature reviews.

About

firecrawl-research-papers gathers and synthesizes academic papers, whitepapers, PDFs, technical reports and academic sources into literature reviews. It infers topic constraints and output format from context, targets multiple source types including arXiv and industry publications, and uses Firecrawl to scrape and extract content. Developers use it when building research-backed arguments or surveying existing work.

  • Automatically infers research topic from context
  • Targets academic papers (arXiv, ACM/IEEE) and industry reports
  • Delivers sourced synthesis with direct links

Firecrawl Research Papers by the numbers

  • 30,651 all-time installs (skills.sh)
  • +459 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #40 of 16,659 AI & Agent Building skills by installs in the Skillselion catalog
  • Security screen: MEDIUM risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

firecrawl-research-papers capabilities & compatibility

Capabilities
pdf extraction · literature synthesis · source aggregation
Requires keys
FIRECRAWL_API_KEY
From the docs

What firecrawl-research-papers says it does

Scrape PDF URLs directly when available; Firecrawl can extract PDFs.
SKILL.md
Every major claim should trace to a source.
SKILL.md
npx skills add https://github.com/firecrawl/firecrawl-workflows --skill firecrawl-research-papers

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Listed on Skillselion
Installs30.7k
repo stars101
Security audit2 / 3 scanners passed
Last updatedJune 19, 2026
Repositoryfirecrawl/firecrawl-workflows

How do you synthesize academic papers into literature reviews?

Quickly gather, scrape, and synthesize academic papers, whitepapers, and technical reports into a coherent literature review.

Who is it for?

Developers needing literature reviews and sourced synthesis from academic papers and industry reports.

Skip if: Developers who need fast news search, market briefings from blogs, or code implementation guidance without scholarly source synthesis.

When should I use this skill?

A user wants a literature review, paper summary, research landscape, or sourced synthesis from PDFs and academic or industry publications.

What you get

Sourced literature reviews, paper summaries, and research landscape briefings compiled from PDFs and scholarly publications.

  • literature review document
  • paper summaries
  • research landscape briefing

By the numbers

  • firecrawl-research-papers version 0.1.0
  • Requires FIRECRAWL_API_KEY for hosted Firecrawl requests

Files

SKILL.mdMarkdownGitHub ↗

Firecrawl Research Papers

Use this to create a sourced literature review.

Onboarding Interview

Infer the topic, source constraints, target count, and output format from context. If the topic is clear, proceed immediately.

Ask at most 1-3 concise questions only if blocked, such as the topic, target paper count, or required venue/date/method constraints.

Firecrawl Collection Plan

Use Firecrawl Research through the CLI, MCP, or equivalent Firecrawl tool surface as the primary path for paper discovery and verification. Fall back to general Firecrawl search and scrape for whitepapers, technical reports, research blogs, leaderboards, or facts outside the paper corpus.

Core tools:

  • MCP: firecrawl_research_search_papers(query, k?)

CLI: firecrawl research search-papers <query> [--k <number>] Semantic search over paper abstracts. Start here for most paper-finding queries, and retry with alternate framing when results are thin or too narrow.

  • MCP: firecrawl_research_related_papers(seed_ids, intent, mode?, k?)

CLI: firecrawl research related-papers <seedIds...> --intent <intent> [--mode <similar|citers|references>] [--k <number>] Expand from strong seed papers into similar work, citing papers, or references. Use this to find the relevant paper family, not just the first matching result.

  • MCP: firecrawl_research_inspect_paper(id)

CLI: firecrawl research inspect-paper <id> Fetch canonical metadata for a candidate paper: title, abstract, authors, categories, source ids, and dates.

  • MCP: firecrawl_research_read_paper(id, question)

CLI: firecrawl research read-paper <id> --question <question> Verify a specific claim or constraint inside one paper, such as method, reported score, benchmark, affiliation, comparison, or limitation.

  • MCP: firecrawl_search(query) / firecrawl_scrape(url)

CLI: firecrawl search <query> / firecrawl scrape <url> Use for web-only context: benchmark leaderboards, rankings, reports, whitepapers, research blogs, and source pages outside the paper index.

Match the approach to the query:

  • Single named paper: run one paper search, then inspect or read the paper if

metadata or body verification is needed.

  • Paper by description, method, or topic family: search for strong anchors,

then expand with related papers and keep close neighbors.

  • Enumeration queries, such as papers that do a task or benchmark a method:

search multiple framings, expand several strong anchors, and re-seed from newly found relevant papers.

  • Papers that use or exhibit a property: start from the defining paper or

strongest anchor, expand via similar, citers, or references, and use read-paper to verify the property.

  • Superlatives and leaderboards: use general web search or scrape to find the

ranking, then map top entries back to papers with paper search.

  • Author, organization, venue, date, or methodology constraints: verify with

inspect-paper metadata or read-paper before keeping a candidate.

Target source types:

  • academic papers from arXiv, university sites, ACM/IEEE pages where accessible
  • industry reports and whitepapers
  • company research blogs
  • technical articles and conference summaries

Principles:

  • When in doubt, include the relevant paper family rather than only the single

best result.

  • Use related-paper expansion to avoid stopping at one strong hit.
  • Use read-paper to verify load-bearing constraints, not to summarize every

candidate.

  • Drop only clearly off-topic papers.

Parallel Work

If appropriate, use sub-agents or equivalent parallel task runners:

  • Academic Papers researcher
  • Industry Reports researcher
  • Technical Articles researcher
  • Synthesis and citation reviewer

Final Deliverable

# Literature Review: [Topic]

## Abstract
[2-3 paragraph summary]

## Key Papers
[Title, authors, source URL, key findings, methodology, relevance]

## Themes And Consensus
[What sources agree on]

## Open Questions And Debates
[Disagreements and unresolved questions]

## Emerging Trends
[Recent developments]

## Sources
[Organized by paper/report/article]

## Rerun Inputs
workflow: firecrawl-research-papers
topic: [topic]
target_count: [number]
output: [markdown/brief]

Quality Bar

  • Every major claim should trace to a source.
  • Note inaccessible or failed PDFs.
  • Distinguish peer-reviewed work from blogs and vendor reports.

Related skills

How it compares

Pick firecrawl-research-papers for PDF and academic literature synthesis; use deep-research skills for broad multi-perspective web briefings.

FAQ

What sources does firecrawl-research-papers handle?

firecrawl-research-papers finds research papers, whitepapers, PDFs, technical reports, and academic or industry publications. Firecrawl scrapes and synthesizes them into literature reviews or research landscapes.

What credentials does firecrawl-research-papers need?

firecrawl-research-papers requires a FIRECRAWL_API_KEY for hosted Firecrawl requests. The skill version is 0.1.0 from firecrawl/firecrawl-workflows under ISC license.

Is Firecrawl Research Papers safe to install?

skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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