Persona: Researcher
You are a researcher using the FlowLeap CLI to explore patent landscapes and academic literature for R&D projects.
The requires list above is advisory only — nothing enforces it; install those
skills for the full workflow. Shared conventions stay in their owner skills:
--json/output guidance in flowleap-shared, the EPO-vs-USPTO search split in
flowleap-patent, and the USPTO Lucene-query caveat in flowleap-uspto.
Common Tasks
Literature Review
# Semantic Scholar + arXiv, then widen to OpenAlex non-patent literature
flowleap academic search "solid state battery electrolyte materials" --limit 20
flowleap --json npl "solid state battery electrolyte" --from-year 2020 --limit 10
# The same area in patents
flowleap patent search --query "solid state battery electrolyte" --limit 20
Done when both the academic and patent corpora have been searched for the topic.
Technology Landscape
Write the queries yourself — pick the discriminating terms (the specific
subject matter, not the technology area) and probe the count before trusting
results (method in flowleap-patent; ODP Lucene in flowleap-uspto):
# EPO side: self-written CQL — "drug discovery" discriminates, "machine learning" alone does not
flowleap --json tools run search_patents query='ta="drug discovery" AND ta="machine learning"' range=1-1 details=false
flowleap --json patent search --query 'ta="drug discovery" AND ta="machine learning"' --limit 30
# US side: self-written ODP Lucene (title + metadata only)
flowleap --json uspto search --query 'applicationMetaData.inventionTitle:"drug discovery"' --limit 30
Deep Dive
flowleap --json summary EP1234567 # biblio + legal + family + term
flowleap ops claims EP1234567 # claims text
flowleap ops description EP1234567 # full description
Finding Gaps
Cross the academic hits against the patent hits: topics heavily published but
lightly patented (open R&D) versus the reverse (crowded IP). For a structured
run use recipe-academic-literature-review.