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Prior Art Search Skill

现有技术检索技能

Systematic 7-step methodology for comprehensive patent prior art searches and patentability assessments.
针对全面专利现有技术检索与可专利性评估的系统化7步方法论。

When to Use

适用场景

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
当用户提出以下需求时可调用本技能：
  • 为一项发明开展现有技术检索
  • 评估一个创意的可专利性
  • 开展自由实施（FTO）分析
  • 查找阻碍性专利
  • 研究专利格局
  • 为专利申请做准备

What This Skill Does

技能功能

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
本技能实现了专业的7步现有技术检索方法论，整合了以下能力：
  • 覆盖7600万+专利的关键词检索（BigQuery）
  • CPC分类检索
  • USPTO API检索
  • 时间线分析
  • 可专利性评估
  • IDS（信息披露声明）准备

The 7-Step Methodology

7步方法论

Step 1: Invention Definition (2-3 min)

步骤1：发明定义（2-3分钟）

Goal: Extract key features and define innovation scope
Process:
  1. Interview user about invention
  2. Extract core technical elements
  3. Identify novel features
  4. List all components/steps
  5. 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?
目标：提取核心特征，界定创新范围
流程：
  1. 与用户沟通了解发明相关信息
  2. 提取核心技术要素
  3. 识别创新特征
  4. 罗列所有组件/步骤
  5. 界定检索范围
输出：包含核心特征的结构化发明摘要
需向用户确认的问题：
  • 这项发明解决了什么问题？
  • 核心组件/步骤有哪些？
  • 它与现有解决方案的区别是什么？
  • 核心创新点是什么？

Step 2: Keyword Strategy (2-3 min)

步骤2：关键词策略制定（2-3分钟）

Goal: Develop comprehensive search keyword list
Process:
  1. Primary keywords from invention
  2. Synonyms and variations
  3. Technical terminology
  4. Industry-specific terms
  5. 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)"
目标：搭建全面的检索关键词列表
流程：
  1. 从发明信息中提取 primary 关键词
  2. 补充同义词和变体表述
  3. 补充技术术语
  4. 补充行业专属术语
  5. 生成布尔检索字符串
输出：关键词检索策略文档
示例：
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)

步骤3：宽泛关键词检索（3-5分钟）

Goal: Cast wide net to find relevant patents
Process:
  1. Run keyword searches on BigQuery
  2. Review top 20-30 results per query
  3. Identify most relevant patents
  4. Refine keyword strategy based on results
  5. Document relevant patents found
Code:
python
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
目标：广撒网查找相关专利
流程：
  1. 在BigQuery上运行关键词检索
  2. 每个查询审阅前20-30条结果
  3. 识别最相关的专利
  4. 基于检索结果优化关键词策略
  5. 记录找到的相关专利
代码：
python
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
)
输出：10-20项潜在相关专利列表

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

步骤4：CPC编码识别（2-3分钟）

Goal: Find relevant classification codes
Process:
  1. Extract CPC codes from relevant patents found in Step 3
  2. Analyze CPC code descriptions
  3. Identify primary classification areas
  4. Select 3-5 most relevant CPC codes
  5. 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
目标：找到相关的分类编码
流程：
  1. 从步骤3找到的相关专利中提取CPC编码
  2. 分析CPC编码描述
  3. 识别主要分类领域
  4. 选择3-5个最相关的CPC编码
  5. 记录CPC层级结构
常见CPC分类：
  • G06F：计算/数据处理
  • H04L：数字通信/网络
  • G06Q：商业方法
  • H04W：无线通信
  • G06N：AI/神经网络
  • G06T：图像处理
输出：带描述的相关CPC编码列表

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

步骤5：深度CPC检索（5-10分钟）

Goal: Comprehensive search within classifications
Process:
  1. Search each CPC code identified
  2. Review 50-100 patents per CPC code
  3. Read abstracts and claims of top matches
  4. Document closest prior art
  5. Note key differences from invention
Code:
python
results = searcher.search_by_cpc(
    cpc_code="G06F21/",  # Security arrangements
    limit=100,
    country="US"
)
Output: Comprehensive list of potentially blocking patents
目标：在分类范围内开展全面检索
流程：
  1. 对识别出的每个CPC编码单独检索
  2. 每个CPC编码审阅50-100项专利
  3. 阅读高匹配度专利的摘要和权利要求
  4. 记录最接近的现有技术
  5. 标注与目标发明的核心差异
代码：
python
results = searcher.search_by_cpc(
    cpc_code="G06F21/",  # Security arrangements
    limit=100,
    country="US"
)
输出：潜在阻碍性专利的完整列表

Step 6: Timeline Analysis (2-3 min)

步骤6：时间线分析（2-3分钟）

Goal: Understand technology evolution
Process:
  1. Filter results by date ranges
  2. Identify filing trends over time
  3. Find recent developments (last 2 years)
  4. Check priority dates
  5. Note technology progression
Code:
python
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目标：理解技术演进路径
流程：
  1. 按日期范围筛选检索结果
  2. 识别不同时期的申请趋势
  3. 查找近期（过去2年）的技术进展
  4. 核对优先权日期
  5. 记录技术演进脉络
代码：
python
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Search by year ranges

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

---
recent = searcher.search_patents(query, start_year=2022, end_year=2024) older = searcher.search_patents(query, start_year=2015, end_year=2021)

**输出**：展示技术发展情况的时间线

---

Step 7: Patentability Report (5-10 min)

步骤7：可专利性报告生成（5-10分钟）

Goal: Professional assessment and recommendations
Process:
  1. Analyze top 10 closest prior art
  2. Assess novelty (35 USC 102)
  3. Assess non-obviousness (35 USC 103)
  4. Rank prior art by relevance
  5. Provide claim strategy recommendations
  6. Generate IDS list
Output: Comprehensive patentability report
目标：输出专业评估与建议
流程：
  1. 分析排名前10的最接近现有技术
  2. 评估新颖性（35 USC 102）
  3. 评估非显而易见性（35 USC 103）
  4. 按相关性对现有技术排序
  5. 提供权利要求策略建议
  6. 生成IDS清单
输出：完整的可专利性报告

Report Format

报告格式

markdown
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markdown
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PRIOR ART SEARCH REPORT

现有技术检索报告

Executive Summary

执行摘要

  • Invention: [Brief description]
  • Search Date: [Date]
  • Searcher: Claude Patent Creator
  • Databases: BigQuery (76M+ patents), USPTO API
  • Time Period: [Year range]
  • 发明：[简要描述]
  • 检索日期：[日期]
  • 检索方：Claude Patent Creator
  • 数据库：BigQuery（7600万+专利）、USPTO API
  • 时间范围：[年份区间]

Patentability Assessment

可专利性评估

Novelty (35 USC 102)

新颖性（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]
[针对发明新颖性的评估内容]
得分：[高/中/低]
分析：
  • 未找到完全匹配的现有技术
  • 最接近现有技术：US10123456
  • 核心差异：[列表]

Non-Obviousness (35 USC 103)

非显而易见性（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]
[针对发明非显而易见性的评估内容]
得分：[高/中/低]
分析：
  • 已考量的组合方案：[列表]
  • 组合动机：[分析内容]
  • 意料之外的效果：[如有则列明]

Top 10 Most Relevant Prior Art

前10项最相关现有技术

1. US10123456B2 - [Title] (95% Relevance)

1. US10123456B2 - [标题]（95% 相关性）

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...]
专利权人：Example Corp 申请日：2018-03-15 授权日：2019-09-30 CPC：G06F21/31, H04L29/06
摘要：[简要摘要]
相似点：
  • 使用区块链做身份验证
  • 采用公钥加密技术
  • 分布式验证机制
差异点：
  • 未使用[创新特征1]
  • 缺少[创新特征2]
  • [某方面]的实现思路不同
相关性：高 - 核心技术重叠
[剩余前10项专利按以上格式罗列...]

Search Methodology

检索方法论

Keywords Used

使用的关键词

  • Primary: blockchain, authentication, distributed ledger
  • Synonyms: cryptographic verification, decentralized identity
  • Technical: public key infrastructure, digital signature
  • 核心词：blockchain, authentication, distributed ledger
  • 同义词：cryptographic verification, decentralized identity
  • 技术术语：public key infrastructure, digital signature

CPC Codes Searched

检索的CPC编码

  • G06F21/31 (Authentication)
  • H04L29/06 (Security arrangements)
  • G06Q20/40 (Payment authentication)
  • G06F21/31（身份验证）
  • H04L29/06（安全方案）
  • G06Q20/40（支付验证）

Databases

数据库

  • Google BigQuery: 247 results reviewed
  • USPTO API: 89 results reviewed
  • Total patents analyzed: 336
  • Relevant patents identified: 47
  • Top prior art selected: 10
  • Google BigQuery：审阅247条结果
  • USPTO API：审阅89条结果
  • 累计分析专利：336项
  • 识别到相关专利：47项
  • 筛选出核心现有技术：10项

Claim Strategy Recommendations

权利要求策略建议

Recommended Approach

推荐方案

  1. Focus on novel aspects: [Specific features]
  2. Claim breadth: Start broad, add dependent claims
  3. Avoid prior art: Distinguish from US10123456 by [...]
  1. 聚焦创新点：[具体特征]
  2. 权利要求范围：先写宽范围独立权利要求，再补充从属权利要求
  3. 规避现有技术：通过[具体方式]与US10123456形成区分

Suggested Independent Claim Language

建议的独立权利要求表述

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

Dependent Claim Opportunities

从属权利要求拓展方向

  • Specific implementations of [feature]
  • Combinations with [technology]
  • Variations in [parameter/configuration]
  • [特征]的具体实现方案
  • 与[技术]的组合应用
  • [参数/配置]的变体方案

IDS (Information Disclosure Statement) List

IDS（信息披露声明）清单

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]
需向USPTO披露的专利：
  1. US10123456B2 - [标题]
  2. US10234567A1 - [标题]
  3. US10345678B1 - [标题]
  4. US10456789A1 - [标题]
  5. US10567890B2 - [标题]
  6. EP3123456A1 - [标题]
  7. WO2019/123456 - [标题]
  8. US2020/0123456A1 - [标题]
  9. US10678901B2 - [标题]
  10. US10789012A1 - [标题]

Conclusion

结论

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]
undefined
可专利性：[高/中/低]
判断依据： [关于发明是否具备可专利性的总结说明]
推荐后续步骤：
  1. [行动项1]
  2. [行动项2]
  3. [行动项3]
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Integration Points

集成点

This skill integrates with:
  • BigQuery Patent Search skill (Step 3, 5, 6)
  • MPEP Search skill (For legal guidance)
  • Patent Claims Analyzer (For claim drafting)
本技能可与以下工具集成：
  • BigQuery专利检索技能（步骤3、5、6使用）
  • MPEP检索技能（用于获取法律指引）
  • 专利权利要求分析器（用于权利要求撰写）

Required Data Access

所需数据访问权限

  • Google Cloud BigQuery (76M+ patents)
  • USPTO API (optional, for additional coverage)
  • Internet access for patent retrieval
  • Google Cloud BigQuery（7600万+专利数据）
  • USPTO API（可选，用于拓展检索范围）
  • 互联网访问权限，用于专利文件获取

Estimated Time

预计耗时

  • Quick Search (Steps 1-3): 10-15 minutes
  • Thorough Search (Steps 1-6): 25-35 minutes
  • Complete Report (All 7 steps): 40-60 minutes
  • 快速检索（步骤1-3）：10-15分钟
  • 全面检索（步骤1-6）：25-35分钟
  • 完整报告（全7步）：40-60分钟

Tools Available

可用工具

  • Bash: To run Python searches
  • Write: To save report and findings
  • Read: To load invention descriptions
  • Grep: To search through results
  • Bash：运行Python检索脚本
  • Write：保存报告与检索结果
  • Read：加载发明描述文件
  • Grep：在检索结果中做二次查找