bigquery-patent-search

BigQuery Patent Search Skill

Fast, cloud-based patent searching across 100 million+ worldwide patents using Google BigQuery.

When to Use

Invoke this skill when users ask to:

• Search for prior art patents
• Find patents in a specific technology area
• Search by CPC classification code
• Look up patent details by publication number
• Conduct freedom-to-operate searches
• Research patent landscapes

What This Skill Does

Provides access to Google's public patent dataset:

1. Keyword Search across 100M+ patents:

   • Full-text search of titles, abstracts, claims
   • Filter by country (US, EP, JP, CN, etc.)
   • Filter by filing/grant date ranges
   • Fast cloud-based queries (< 5 seconds)

2. CPC Classification Search:

   • Search by CPC code (e.g., "G06F16/", "H04L29/06")
   • Browse patent classifications
   • Find patents in specific technical domains

3. Patent Details Retrieval:

   • Get full patent text by publication number
   • Access title, abstract, claims, description
   • View CPC codes, inventors, assignees
   • See filing and grant dates

Required Setup

This skill requires Google Cloud authentication:

Prerequisites:

1. Google Cloud Project (free to create)
2. BigQuery API enabled (free for reasonable usage)
3. Application Default Credentials configured

Setup Commands:

# Install Google Cloud SDK (if not installed)
# Visit: https://cloud.google.com/sdk/docs/install

# Authenticate
gcloud auth application-default login

# Set project (get ID from console.cloud.google.com)
export GOOGLE_CLOUD_PROJECT=your-project-id

Environment Variable: Set in .env file: GOOGLE_CLOUD_PROJECT=your-project-id

How to Use

When this skill is invoked:

1. Initialize BigQuery searcher:

   import sys
   sys.path.insert(0, os.path.join(os.environ.get('CLAUDE_PLUGIN_ROOT', '.'), 'python'))
   from python.bigquery_search import BigQueryPatentSearch
   
   searcher = BigQueryPatentSearch()
   

2. Search by keywords:

   results = searcher.search_patents(
       query="blockchain authentication",
       limit=20,
       country="US",  # Optional: filter by country
       start_year=2020,  # Optional: filter by year
       end_year=2024
   )