Search global patent databases with natural language queries via Valyu semantic search API.
npx skills add https://github.com/lgwanai/openforce --skill patents-search
Please help me install this Agent Skill. Skill: patents-search Source: https://github.com/lgwanai/openforce/tree/main/skills/patents-search Command: npx skills add https://github.com/lgwanai/openforce --skill patents-search
Finding relevant prior art and understanding patent landscapes is slow and error-prone when you rely on manual keyword searches across jurisdictions.
Run the patents-search skill with the query "CRISPR gene editing methods" to retrieve the most relevant patent results and full-text content.
High-intent search queries and answers about installing and using this skill.
To search global patents using natural language, this Skill employs Valyu semantic search to understand query meaning rather than relying on exact keyword matches. It returns full-text claims, descriptions, and relevance scoring to surface prior art.
Yes, finding prior art and tracking patent landscapes across global datasets is supported. The Skill retrieves full-text patent content and technical details, enabling competitive intelligence and freedom-to-operate research across jurisdictions.
To retrieve full-text patent claims and technical descriptions, you need an authenticated Valyu semantic search API workflow. The Skill queries this workflow to return ranked results with relevance and cost metadata in JSON format.
Yes, the patent search returns optional diagram and figure image links when available. This visualization support accompanies the full-text retrieval of claims, descriptions, and technical details in the JSON output.
Semantic search improves freedom-to-operate research by understanding query meaning, overcoming the slowness and errors of manual keyword searches across jurisdictions. It ranks results by relevance to surface related innovations efficiently.
The patents-search JSON output includes full-text patent content, optional image links, relevance scoring, and cost metadata. This structured format supports patent claim interpretation and innovation tracking scenarios.
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