Recipe academic literature review

Skill flowleap-ai/flowleap-plugins/plugins/flowleap/skills/recipe-academic-literature-review

The FlowLeap Plugin Marketplace — curated, free-to-install skill packs for patent and IP work.

Install

npx -y skills add flowleap-ai/flowleap-plugins --skill recipe-academic-literature-review

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What its author says it does

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Map the gap between published research and filed patents — a scholarly sweep across Semantic Scholar, arXiv, and OpenAlex aligned against a matching patent search, output centered on the published-versus-protected gap rather than a ranked novelty list. Trigger when the user asks for a literature review, a state-of-the-art survey, or a comparison of academic research against patents.

SKILL.md

2.4 KB, as published. Nobody here has run it

Recipe: Academic Literature Review

Combine academic and patent searches to map what a field has published against what it has protected.

Prefer academic (Semantic Scholar + arXiv) for CS/ML papers and preprints; prefer npl (OpenAlex) for broad cross-disciplinary journal coverage and open-access filtering.

Steps

Step 1: Academic Search

flowleap --json academic search "<research topic>" --limit 20
flowleap --json academic search "<research topic>" --source arxiv --from-year 2020

Step 2: Widen to OpenAlex NPL

flowleap --json npl "<research topic>" --from-year 2020 --limit 10

Step 3: Patent Search for the Same Topic

flowleap patent build-query "<research topic>" --allow-external-processing
flowleap --json patent search --query "<CQL from build-query>" --limit 20

Step 4: Synthesize the Gap

Align the academic themes against the patent CPC and assignee clusters. Flag topics heavily published but lightly patented (open R&D space) and topics heavily patented but lightly published (crowded IP). Done when each major theme is classified on the published-versus-protected axis.

Visual deliverable

To hand off Step 4's published-versus-protected map as a shareable artifact, follow this recipe's analysis through to the end, then render it with recipe-custom-dashboard — the filing-trends template (multi-series comparison over time) is the closest fit, adapted to plot academic output against patent filings per theme rather than per applicant. Analysis logic stays here; the dashboard skill only owns presentation.

Output

Academic papers (title, authors, year, source, citation counts)
Related patents (publication number, title, applicant, date, CPC)
A published-versus-protected map: themes tagged as open R&D space or crowded IP