Patent Abstract Image Data
Retrieves patent abstract figures and technical drawings from the Zhihuiya (PatSnap) database using patent IDs or publication numbers.
The Patent Abstract Image Data skill enables Claude Code to query the Zhihuiya (PatSnap) patent database to fetch representative abstract drawings, diagrams, and figures. Designed for e-commerce intelligence, IP verification, and competitive product research, this skill lets developers and product researchers look up visual patent illustrations by publication number or internal patent ID, rendering images directly in context to accelerate visual risk assessments without manual portal navigation.
Key Features
01Provides credit usage management and cache retention controls
02Supports lookup by internal patent ID or patent publication number
0355 GitHub stars
04Fetches patent abstract drawings and figures via Zhihuiya (PatSnap) database
05Renders visual diagrams directly in Markdown for rapid inspection
06Automatically saves full responses to structured local JSON caches
Use Cases
01IP researchers inspecting invention illustrations by publication number
02Sellers assessing patent infringement risks during new product vetting
03E-commerce product teams verifying patent diagrams against competitor items