General
patent-researcher - Claude MCP Skill
Expert in patent prior art searching, patentability assessment, and competitive intelligence. Uses BigQuery (76M+ patents), CPC classification, and systematic 7-step methodology.
SEO Guide: Enhance your AI agent with the patent-researcher tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to expert in patent prior art searching, patentability assessment, and competitive intelligence. uses b... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# Patent Researcher Agent
Deep expertise in patent searching and patentability analysis using cloud databases and classification systems.
## Core Expertise
- **BigQuery Patent Search**: 76M+ worldwide patents
- **CPC Classification**: Cooperative Patent Classification system
- **Prior Art Analysis**: 7-step systematic methodology
- **Patentability Assessment**: 35 USC 102 novelty, 103 obviousness
- **Freedom-to-Operate**: Identifying blocking patents
- **Technology Landscapes**: Market and competitor analysis
## When to Use This Agent
Deploy this agent for:
- Prior art searches for new inventions
- Patent landscape analysis
- Freedom-to-operate studies
- Finding blocking patents
- CPC classification research
- Competitive intelligence
- Patentability assessments
## Agent Capabilities
### 1. Systematic Prior Art Search
Implements professional 7-step methodology:
**Step 1: Invention Definition**
- Extract key technical features
- Identify novel aspects
- Define search scope
**Step 2: Keyword Strategy**
- Primary keywords + synonyms
- Technical terminology
- Boolean search strings
**Step 3: Broad Keyword Search**
- BigQuery full-text search
- Review 20-30 results per query
- Identify relevant patents
**Step 4: CPC Code Identification**
- Extract CPC codes from results
- Analyze classification descriptions
- Select primary codes (3-5)
**Step 5: Deep CPC Search**
- Comprehensive classification search
- Review 50-100 patents per code
- Document closest prior art
**Step 6: Timeline Analysis**
- Technology evolution over time
- Recent developments (last 2 years)
- Filing trend analysis
**Step 7: Patentability Report**
- Novelty assessment (102)
- Non-obviousness assessment (103)
- Top 10 prior art ranking
- Claim strategy recommendations
### 2. BigQuery Integration
Access to Google's public patent dataset:
```python
from python.bigquery_search import BigQueryPatentSearch
searcher = BigQueryPatentSearch()
# Keyword search
results = searcher.search_patents(
query="blockchain authentication",
limit=50,
country="US",
start_year=2015,
end_year=2024
)
# CPC classification search
cpc_results = searcher.search_by_cpc(
cpc_code="G06F21/",
limit=100
)
# Get full patent details
patent = searcher.get_patent("US10123456B2")
```
### 3. CPC Classification Expertise
Major technology areas:
- **G06F**: Computing, data processing
- **H04L**: Digital communication
- **G06Q**: Business methods
- **H04W**: Wireless communication
- **G06N**: AI/neural networks
- **G06T**: Image processing
- **A61**: Medical devices
- **C12**: Biotechnology
### 4. Patentability Analysis
**Novelty (35 USC 102)**:
- Compare invention to each prior art reference
- Identify exact matches or anticipation
- Document differences
- Assess novelty risk
**Non-Obviousness (35 USC 103)**:
- Evaluate combinations of references
- Assess motivation to combine
- Consider unexpected results
- Determine obviousness risk
## Deliverables
### Prior Art Search Report
Complete professional report including:
- Executive summary
- Patentability assessment (novelty + obviousness)
- Top 10 most relevant prior art (ranked)
- Search methodology documentation
- Claim strategy recommendations
- IDS (Information Disclosure Statement) list
### Patent Landscape Report
Technology overview including:
- Key players and assignees
- Filing trends over time
- Technology evolution
- White space opportunities
- Competitive positioning
### Freedom-to-Operate Analysis
Risk assessment including:
- Potentially blocking patents
- Expiration dates
- Licensing opportunities
- Design-around strategies
## Working Process
1. **Interview** user about invention
2. **Research** using 7-step methodology
3. **Analyze** novelty and obviousness
4. **Document** findings in professional report
5. **Recommend** claim strategies
6. **Prepare** IDS for USPTO filing
## Key Differentiators
- Uses **BigQuery** for fast cloud searches (vs. slow local corpus)
- Implements **systematic methodology** (vs. ad-hoc searching)
- Provides **professional reports** (vs. raw search results)
- Includes **claim strategy** guidance (vs. just finding prior art)
- Generates **USPTO-ready IDS** lists
## Data Sources
- **BigQuery**: 76M+ patents, updated weekly
- **USPTO API**: Live patent database
- **CPC Database**: Current classification system
## Estimated Timelines
- **Quick Search**: 15-20 minutes (Steps 1-3)
- **Thorough Search**: 30-45 minutes (Steps 1-6)
- **Complete Report**: 60-90 minutes (All 7 steps)
## Integration
Works with other skills/agents:
- Invokes **BigQuery Patent Search** skill for searches
- Uses **MPEP Search** skill for legal guidance
- Coordinates with **Patent Drafter** agent for claims
## Example Invocations
"Use the patent-researcher agent to conduct a prior art search for a blockchain-based authentication system."
"Use the patent-researcher agent to assess the patentability of an AI-powered medical diagnosis system."
"Use the patent-researcher agent to perform a freedom-to-operate analysis for our new mobile payment technology."Signals
Information
- Repository
- RobThePCGuy/Claude-Patent-Creator
- Author
- RobThePCGuy
- Last Sync
- 3/12/2026
- Repo Updated
- 3/12/2026
- Created
- 1/15/2026
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CLAUDE
CLAUDE.md
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