About bigquery-patent-search
A skill for searching Google’s public patent dataset through BigQuery, aimed at prior-art research, patent landscape work, and freedom-to-operate searches. It supports keyword and CPC searches, filters, and retrieval of patent details, with Google Cloud authentication required.
Key features
- 01Keyword search across patent text
- 02Country and date-range filters
- 03CPC classification search
- 04Patent details by publication number
- 05Full text and bibliographic fields
Use cases
- 01Finding prior art for a technology
- 02Exploring patents in a CPC classification
- 03Reviewing claims and descriptions by publication number
MCP support
The skill uses BigQuery to query Google’s public patent dataset and retrieve patent search results and details. Its README shows access through a Python searcher in an `mcp_server` module, but does not describe an MCP interface exposed to clients.
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ robthepcguy/ claude-patent-creator --skill bigquery-patent-searchAfter installing, type/bigquery-patent-searchin Claude Code to confirm it loaded.
Details
From the project READMEBigQuery 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:
-
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)
-
CPC Classification Search:
- Search by CPC code (e.g., "G06F16/", "H04L29/06")
- Browse patent classifications
- Find patents in specific technical domains
-
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:
- Google Cloud Project (free to create)
- BigQuery API enabled (free for reasonable usage)
- 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:
-
Initialize BigQuery searcher:
import os import sys sys.path.insert(0, os.environ.get('CLAUDE_PLUGIN_ROOT', '.')) from mcp_server.bigquery_search import BigQueryPatentSearch searcher = BigQueryPatentSearch() -
Search by keywords:
results = searcher.search_by_keywords( query="blockchain authentication", limit=20, country="US", # Optional: filter by country start_year=2020, # Optional: filter by year end_year=2024 ) -
Search by CPC code:
results = searcher.search_by_cpc( cpc_code="G06F16/", # CPC prefix limit=20, country="US" ) -
Get patent details:
patent = searcher.get_patent_details( patent_number="US10123456B2" # Publication number )
BigQuery Dataset
Uses patents-public-data.patents on Google BigQuery:
- 100M+ 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 claimsdescription: Complete description sectionpriority_date: Earliest priority datefamily_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
-
Boolean Operators in queries:
- "blockchain AND authentication"
- "encryption OR cryptography"
- "(mobile OR wireless) AND security"
-
Phrase Search:
- "distributed ledger technology"
- "public key infrastructure"
-
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:
- Check if
google-cloud-bigqueryis installed - Verify authentication:
gcloud auth application-default login - Confirm project ID in environment:
GOOGLE_CLOUD_PROJECT - Test with:
python scripts/test_bigquery.py
Cost Considerations
BigQuery pricing:
- First 1 TiB/month: FREE
- After 1 TiB: $6.25 per TiB queried (on-demand)
- Typical query: 10-50 MB per search
- Bytes-billed ceiling: enforced per-query via
PATENT_BIGQUERY_MAX_BYTES_BILLED(default 350 GiB)
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