Search patent databases and academic literature for prior art.
npx skills add https://github.com/jkfee/Auto-Research --skill prior-art-search-jkfee
Please help me install this Agent Skill. Skill: prior-art-search Source: https://github.com/jkfee/Auto-Research/tree/main/skills/prior-art-search Command: npx skills add https://github.com/jkfee/Auto-Research --skill prior-art-search-jkfee
This Skill helps teams systematically uncover existing patents and scholarly literature relevant to a new invention, reducing the risk of novelty challenges and enabling informed R&D decisions.
Provide a concise invention description to kick off the prior-art search and return a landscape of patents and scholarly papers.
High-intent search queries and answers about installing and using this skill.
To find prior art, provide a concise invention description to trigger automated cross-database queries across Google Patents, Espacenet, and academic databases. The search extracts titles, abstracts, inventors, and assignees, classifying results by IPC/CPC codes and relevance to uncover potential overlaps.
Yes, you can generate a preliminary freedom-to-operate landscape report by analyzing the structured search results. The report outlines potential blocking patents, non-patent literature overlaps, and classification data, helping teams systematically reduce the risk of novelty challenges for R&D decisions.
Patent classification by IPC and CPC codes organizes extracted patent results into structured technological categories. This systematic classification groups related patents and scholarly papers together, allowing you to quickly assess overlap risk and identify relevant prior art within specific technological domains.
The best way to reduce novelty challenges is executing cross-database queries that simultaneously search patent databases and academic literature. This approach surfaces both patent claims and non-patent literature, providing a comprehensive landscape report of prior art relevant to your invention.
No, you do not need a highly detailed technical document to start a prior art search. Providing a concise invention description is sufficient to initiate the automated queries, which then extract and structure the necessary bibliographic data, claims, and classifications for your landscape report.
Automating prior art searches provides a structured landscape of patents and scholarly literature but remains a preliminary freedom-to-operate consideration. It extracts bibliographic data and classifications to identify potential overlaps, though it does not replace formal legal clearance for definitive IP decisions.
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