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AI-Native Patent Analysis Kit, designed for AI agents (GitHub Copilot, Claude Code).

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Patent Kit

AI-Native Patent Analysis Kit, designed for Claude Code.

Important

Disclaimer: This tool is provided for informational purposes only. The outputs do not constitute legal advice or professional patent opinions.

Overview

A complete toolkit that empowers AI agents to autonomously search, analyze, and evaluate patents with human-level precision.

This kit provides structured commands to automate:

  • Targeting & Screening: Identify critical patents from the noise.
  • Patent Evaluation: Validate novelty and inventive step logic.
  • Claim Analysis: Detailed clearance and infringement reporting.
  1. Install the Plugin

Add this repository as a marketplace and install the plugin to your Claude Code environment:

# 1. Add this repository as a marketplace
claude plugin marketplace add sonesuke/patent-kit

# 2. Install the plugin (automatically loads required MCPs)
claude plugin add patent-kit@patent-kit-marketplace
  1. Initialize Workspace

Navigate to your working directory and start Claude:

mkdir my-patent-project && cd my-patent-project
claude

Run the setup skill to generate the required directory structure:

/patent-kit:setup

Prerequisites (Install the CLIs)

You must have the following CLI tools installed and accessible in your system PATH to execute patent and paper searches. When this plugin is loaded, it will automatically connect to these tools as built-in MCP servers.

Workflow

  1. Phase 0: Concept Interview: Define product concept.

    /patent-kit.concept-interview
    # Output: 0-specifications/specification.md
  2. Phase 1: Targeting: Generate search queries and targets.

    /patent-kit:targeting
    # Output: 1-targeting/targeting.md
  3. Phase 2: Screening: Screen patents for relevance.

    /patent-kit.screening
    # Output: 2-screening/screening.md
  4. Phase 3: Evaluation: Analyze the patent.

    /patent-kit:evaluation JP2023-123456
    # Output: 3-investigations/JP2023-123456/evaluation.md
  5. Phase 4: Claim Analysis: Define search strategy.

    /patent-kit:claim-analysis JP2023-123456
    # Output: 3-investigations/JP2023-123456/claim-analysis.md
  6. Phase 5: Prior Art: Run search and report.

    /patent-kit:prior-art JP2023-123456
    # Output: 3-investigations/JP2023-123456/prior-art.md
  7. Track Progress: Summarize the current status of all investigations.

    /patent-kit:progress
    # Output: PROGRESS.md

Output Structure

The project is organized into numbered phases:

.
├── 0-specifications/         # Phase 0: Product definition
│   └── specification.md
├── 1-targeting/              # Phase 1: Search strategy & data
│   ├── targeting.md
│   ├── keywords.md
│   ├── target.jsonl
│   └── csv/
├── 2-screening/              # Phase 2: Screening results
│   └── (Screening data)
├── 3-investigations/         # Phase 3-5: Detailed analysis
│   └── JP2023-123456/
│       ├── evaluation.md
│       ├── claim-analysis.md
│       └── prior-art.md
└── PROGRESS.md               # Overall status report

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AI-Native Patent Analysis Kit, designed for AI agents (GitHub Copilot, Claude Code).

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