Patent Core Bibliography Search
Retrieves structured patent bibliographic metadata, classifications, abstracts, inventors, and citation records using Zhihuiya patent intelligence.
Patent Core Bibliography Search enables Claude to query essential patent catalog and front-page data from the Zhihuiya (PatSnap) patent database using publication numbers or patent IDs. Designed for e-commerce intelligence, competitor research, and intellectual property risk checks, this skill provides structured access to critical patent metadata including titles, abstracts, inventors, applicants, assignees, application/publication dates, priority claims, IPC/CPC classification codes, and cited literature for up to 100 patents per batch.
主要功能
01Lookup patent bibliographic data by public publication number or internal patent ID
02Retrieve IPC, CPC, LOC (Locarno), and GBC classification codes
0355 GitHub stars
04Extract comprehensive applicant, inventor, and assignee ownership details
05Support batch queries up to 100 patents with local caching and automated response summaries
06Access patent abstracts, priority claims, and cited patent/non-patent references
使用场景
01Extracting patent classification codes and citation trails to conduct prior art and technology mapping
02Verifying product patent risks and ownership prior to launching e-commerce items on Amazon, Temu, or Shopify
03Analyzing competitor patent portfolios, inventor networks, and filing dates for market intelligence