What problem does it solve?
It helps users quickly identify prior art in patents and academic literature to support novelty checks, patentability evaluation, and early freedom-to-operate thinking before filing or drafting claims.
Core Features & Use Cases
- Concept extraction from an invention description: Distills an invention’s core concept, technical problem, key features, and likely IPC/CPC classes to guide searching.
- Patent searching across major databases: Searches Google Patents and Espacenet, then fetches and extracts key patent details (title, abstract, representative claims, assignee, status, IPC/CPC).
- Academic literature searching for supporting context: Searches scholarly sources (e.g., Google Scholar, arXiv, Semantic Scholar) to find relevant papers and extract their contributions.
- Overlap-risk analysis and structured reporting: Rates references as HIGH/MEDIUM/LOW overlap risk and produces a consolidated report output for review.
Quick Start
Use the prior-art-search skill with your invention description to generate a structured report of patent and academic references organized by likely IPC/CPC classes, including preliminary overlap risk and FTO-style flags.