prior-art-search

仓库: robthepcguy/claude-patent-creator
安装量: 89
排名: #9036

安装

npx skills add https://github.com/robthepcguy/claude-patent-creator --skill prior-art-search

Systematic 7-step methodology for comprehensive patent prior art searches and patentability assessments.

When to Use

Invoke this skill when users ask to:

  • Conduct prior art search for an invention

  • Assess patentability of an idea

  • Perform freedom-to-operate analysis

  • Find blocking patents

  • Research patent landscapes

  • Prepare for patent filing

What This Skill Does

Implements a professional 7-step prior art search methodology combining:

  • Keyword searches across 76M+ patents (BigQuery)

  • CPC classification searches

  • USPTO API searches

  • Timeline analysis

  • Patentability assessment

  • IDS (Information Disclosure Statement) preparation

The 7-Step Methodology

Step 1: Invention Definition (2-3 min)

Goal: Extract key features and define innovation scope

Process:

  • Interview user about invention

  • Extract core technical elements

  • Identify novel features

  • List all components/steps

  • Define search scope

Output: Structured invention summary with key features

Questions to Ask:

  • What problem does this solve?

  • What are the key components/steps?

  • What makes this different from existing solutions?

  • What is the core innovation?

Step 2: Keyword Strategy (2-3 min)

Goal: Develop comprehensive search keyword list

Process:

  • Primary keywords from invention

  • Synonyms and variations

  • Technical terminology

  • Industry-specific terms

  • Boolean search strings

Output: Keyword search strategy document

Example:

Primary: blockchain authentication
Synonyms: distributed ledger verification, cryptographic authentication
Technical: public key infrastructure, digital signature
Related: decentralized identity, trustless verification
Searches:
- "blockchain AND (authentication OR verification)"
- "(distributed ledger) AND (identity OR credential)"
- "cryptographic AND (login OR access control)"

Step 3: Broad Keyword Search (3-5 min)

Goal: Cast wide net to find relevant patents

Process:

  • Run keyword searches on BigQuery

  • Review top 20-30 results per query

  • Identify most relevant patents

  • Refine keyword strategy based on results

  • Document relevant patents found

Code:

from python.bigquery_search import BigQueryPatentSearch
searcher = BigQueryPatentSearch()

results = searcher.search_patents(
    query="blockchain authentication",
    limit=30,
    country="US",
    start_year=2015  # Look back 5-10 years
)

Output: List of 10-20 potentially relevant patents

Step 4: CPC Code Identification (2-3 min)

Goal: Find relevant classification codes

Process:

  • Extract CPC codes from relevant patents found in Step 3

  • Analyze CPC code descriptions

  • Identify primary classification areas

  • Select 3-5 most relevant CPC codes

  • Note CPC hierarchies

Common CPC Categories:

  • G06F: Computing/data processing

  • H04L: Digital communication/networks

  • G06Q: Business methods

  • H04W: Wireless communication

  • G06N: AI/neural networks

  • G06T: Image processing

Output: List of relevant CPC codes with descriptions

Step 5: Deep CPC Search (5-10 min)

Goal: Comprehensive search within classifications

Process:

  • Search each CPC code identified

  • Review 50-100 patents per CPC code

  • Read abstracts and claims of top matches

  • Document closest prior art

  • Note key differences from invention

Code:

results = searcher.search_by_cpc(
    cpc_code="G06F21/",  # Security arrangements
    limit=100,
    country="US"
)

Output: Comprehensive list of potentially blocking patents

Step 6: Timeline Analysis (2-3 min)

Goal: Understand technology evolution

Process:

  • Filter results by date ranges

  • Identify filing trends over time

  • Find recent developments (last 2 years)

  • Check priority dates

  • Note technology progression

Code:

# Search by year ranges
recent = searcher.search_patents(query, start_year=2022, end_year=2024)
older = searcher.search_patents(query, start_year=2015, end_year=2021)

Output: Timeline showing technology development

Step 7: Patentability Report (5-10 min)

Goal: Professional assessment and recommendations

Process:

  • Analyze top 10 closest prior art

  • Assess novelty (35 USC 102)

  • Assess non-obviousness (35 USC 103)

  • Rank prior art by relevance

  • Provide claim strategy recommendations

  • Generate IDS list

Output: Comprehensive patentability report

Report Format

# PRIOR ART SEARCH REPORT

## Executive Summary
- Invention: [Brief description]
- Search Date: [Date]
- Searcher: Claude Patent Creator
- Databases: BigQuery (76M+ patents), USPTO API
- Time Period: [Year range]

## Patentability Assessment

### Novelty (35 USC 102)
[Assessment of whether invention is novel]

Score: [High/Medium/Low]

Analysis:
- No exact matches found
- Closest prior art: US10123456
- Key differences: [List]

### Non-Obviousness (35 USC 103)
[Assessment of whether invention is non-obvious]

Score: [High/Medium/Low]

Analysis:
- Combinations considered: [List]
- Motivation to combine: [Analysis]
- Unexpected results: [If any]

## Top 10 Most Relevant Prior Art

### 1. US10123456B2 - [Title] (95% Relevance)
**Assignee**: Example Corp
**Filed**: 2018-03-15
**Granted**: 2019-09-30
**CPC**: G06F21/31, H04L29/06

**Summary**: [Brief abstract]

**Similarities**:
- Uses blockchain for authentication
- Employs public key cryptography
- Distributed verification

**Differences**:
- Does not use [novel feature 1]
- Lacks [novel feature 2]
- Different approach to [aspect]

**Relevance**: High - core technology overlap

---

[Continue for top 10 patents...]

## Search Methodology

### Keywords Used
- Primary: blockchain, authentication, distributed ledger
- Synonyms: cryptographic verification, decentralized identity
- Technical: public key infrastructure, digital signature

### CPC Codes Searched
- G06F21/31 (Authentication)
- H04L29/06 (Security arrangements)
- G06Q20/40 (Payment authentication)

### Databases
- Google BigQuery: 247 results reviewed
- USPTO API: 89 results reviewed
- Total patents analyzed: 336
- Relevant patents identified: 47
- Top prior art selected: 10

## Claim Strategy Recommendations

### Recommended Approach
1. **Focus on novel aspects**: [Specific features]
2. **Claim breadth**: Start broad, add dependent claims
3. **Avoid prior art**: Distinguish from US10123456 by [...]

### Suggested Independent Claim Language

A system for [invention], comprising: [novel element 1]; [novel element 2]; wherein [novel relationship/function]

### Dependent Claim Opportunities
- Specific implementations of [feature]
- Combinations with [technology]
- Variations in [parameter/configuration]

## IDS (Information Disclosure Statement) List

Patents to be disclosed to USPTO:

1. US10123456B2 - [Title]
2. US10234567A1 - [Title]
3. US10345678B1 - [Title]
4. US10456789A1 - [Title]
5. US10567890B2 - [Title]
6. EP3123456A1 - [Title]
7. WO2019/123456 - [Title]
8. US2020/0123456A1 - [Title]
9. US10678901B2 - [Title]
10. US10789012A1 - [Title]

## Conclusion

**Patentability**: [High/Medium/Low]

**Rationale**:
[Summary of why invention is or is not patentable]

**Recommended Next Steps**:
1. [Action item 1]
2. [Action item 2]
3. [Action item 3]

Integration Points

This skill integrates with:

  • BigQuery Patent Search skill (Step 3, 5, 6)

  • MPEP Search skill (For legal guidance)

  • Patent Claims Analyzer (For claim drafting)

Required Data Access

  • Google Cloud BigQuery (76M+ patents)

  • USPTO API (optional, for additional coverage)

  • Internet access for patent retrieval

Estimated Time

  • Quick Search (Steps 1-3): 10-15 minutes

  • Thorough Search (Steps 1-6): 25-35 minutes

  • Complete Report (All 7 steps): 40-60 minutes

Tools Available

  • Bash: To run Python searches

  • Write: To save report and findings

  • Read: To load invention descriptions

  • Grep: To search through results

← 返回排行榜