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bigquery-patent-search

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BigQuery Patent Search Skill

Fast, cloud-based patent searching across 76 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 76M+ 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
    )
    
  3. Search by CPC code:

    results = searcher.search_by_cpc(
        cpc_code="G06F16/",  # CPC prefix
        limit=20,
        country="US"
    )
    
  4. Get patent details:

    patent = searcher.get_patent(
        patent_number="US10123456B2"  # Publication number
    )
    

BigQuery Dataset

Uses patents-public-data.patents on Google BigQuery:

  • 76M+ worldwide patents
  • 12M+ US patents with full text
  • Updated weekly
  • Free to query (no billing for reasonable usage)

Search Result Format

Each result includes:

{
    "publication_number": "US10123456B2",
    "title": "Method and system for...",
    "abstract": "A system for...",
    "filing_date": "2019-01-15",
    "grant_date": "2020-06-30",
    "country": "US",
    "cpc_codes": ["G06F16/245", "H04L29/06"],
    "inventors": ["John Doe", "Jane Smith"],
    "assignee": "Example Corp"
}

Full patent details also include:

  • claims: Full text of all claims
  • description: Complete description section
  • priority_date: Earliest priority date
  • family_id: Patent family ID

Presentation Format

Present search results as:

PATENT SEARCH RESULTS
====================

Query: "blockchain authentication"
Found: 247 patents (showing top 20)
Date Range: 2020-2024
Country: US

[1] US10123456B2 - System for blockchain-based authentication
    Assignee: Example Corp
    Filed: 2019-01-15 | Granted: 2020-06-30
    CPC: G06F16/245, H04L29/06

    Abstract: A system for authenticating users using blockchain
    technology with distributed ledger verification...

[2] US10234567B1 - Method of secure authentication using blockchain
    ...

---

Top 5 Most Relevant:
1. US10123456B2 (95% relevance)
2. US10234567B1 (92% relevance)
...

Advanced Search Techniques

  1. Boolean Operators in queries:

    • "blockchain AND authentication"
    • "encryption OR cryptography"
    • "(mobile OR wireless) AND security"
  2. Phrase Search:

    • "distributed ledger technology"
    • "public key infrastructure"
  3. CPC Code Hierarchies:

    • "G06F" = Computing
    • "G06F16/" = Information retrieval
    • "G06F16/245" = Structured query language

Common CPC Codes

  • G06F: Computing, calculating, counting
  • H04L: Digital communication
  • G06Q: Business methods
  • H04W: Wireless communication
  • G06N: Computer systems based on specific models
  • G06T: Image processing

Error Handling

If BigQuery is not configured:

  1. Check if google-cloud-bigquery is installed
  2. Verify authentication: gcloud auth application-default login
  3. Confirm project ID in environment: GOOGLE_CLOUD_PROJECT
  4. Test with: python scripts/test_bigquery.py

Cost Considerations

BigQuery pricing:

  • First 1TB/month: FREE
  • After 1TB: $5 per TB queried
  • Typical query: 10-50 MB per search
  • ~20,000 searches free per month

Tools Available

  • Bash: To run Python BigQuery searches
  • Read: To load saved search results
  • Write: To save patent search results
  • Grep: To search through saved results

Source

git clone https://github.com/RobThePCGuy/Claude-Patent-Creator/blob/main/skills/bigquery-patent-search/SKILL.mdView on GitHub

Overview

This skill provides cloud-based access to Google's patents dataset, enabling quick keyword searches across 76M+ world patents and CPC classification lookups. It also retrieves full patent details by publication number, including title, abstract, claims, CPC codes, inventors, and assignees, making it ideal for prior art, technology-area exploration, and freedom-to-operate analyses.

How This Skill Works

The skill initializes a BigQuery-backed searcher that queries the patents-public-data.patents dataset. You can perform keyword searches with optional country and date filters, search by CPC code, and fetch full patent texts by publication number. Results are structured with publication_number, title, abstract, CPC codes, inventors, and more for rapid analysis.

When to Use It

  • Search for prior art patents relevant to a new idea or product.
  • Find patents in a specific technology area or by CPC code.
  • Look up patent details by publication number for in-depth review.
  • Conduct freedom-to-operate (FTO) analysis across jurisdictions.
  • Build patent landscapes to understand competitive intensity and trends.

Quick Start

  1. Step 1: Initialize BigQueryPatentSearch in your Python environment.
  2. Step 2: Call search_patents(query='blockchain authentication', limit=20, country='US', start_year=2020, end_year=2024).
  3. Step 3: Retrieve details with get_patent(patent_number='US10123456B2').

Best Practices

  • Set a Google Cloud project and enable BigQuery API before use.
  • Filter by country and date range to reduce noise and speed results.
  • Use CPC search to target a precise technical domain (e.g., G06F16/).
  • Retrieve full patent details (claims, description, CPCs) for verification.
  • Cross-check inventors and assignees to assess assignee scope and collaborations.

Example Use Cases

  • Identify prior art for a blockchain-based authentication feature in US patents.
  • Explore CPC G06F16/ to locate patents in digital banking security tech.
  • Fetch full text for US10123456B2 to inspect claims and embodiments.
  • Perform an FTO study for a new wearable device across US, EP, and JP.
  • Landscape analysis of 76M+ patents to map competitive technology clusters.

Frequently Asked Questions

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