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21 changes: 21 additions & 0 deletions LICENSE.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,21 @@
MIT License

Copyright (c) 2025 sonesuke

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
160 changes: 95 additions & 65 deletions README.md
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Expand Up @@ -11,11 +11,14 @@ A complete toolkit that empowers AI agents to autonomously search, analyze, and

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.
- **Concept Interview**: Define product concept and identify competitors.
- **Targeting**: Create a target population from patent databases.
- **Screening & Evaluation**: Filter and analyze patents for relevance.
- **Claim Analysis**: Compare product features against patent elements.
- **Prior Art Research**: Search for prior art references for high-risk patents.
- **Investigation Reporting**: Track progress across all phases.

1. **Install the Plugin**
## Install

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

Expand All @@ -27,7 +30,14 @@ claude plugin marketplace add sonesuke/patent-kit
claude plugin install patent-kit@patent-kit-marketplace
```

2. **Initialize Workspace**
### Prerequisites

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.**

- [Google Patent CLI (google-patent-cli)](https://github.com/sonesuke/google-patent-cli)
- [arXiv CLI (arxiv-cli)](https://github.com/sonesuke/arxiv-cli)

## Quick Start

Navigate to your working directory and start Claude:

Expand All @@ -36,90 +46,110 @@ mkdir my-patent-project && cd my-patent-project
claude
```

Run the setup skill to generate the required directory structure:
Then run the skills in order:

```bash
/patent-kit:setup
/patent-kit:concept-interview
# Output: specification.md
```

### Prerequisites (Install the CLIs)
## Workflow

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.**
### Phase 0: Concept Interview

- [Google Patent CLI (google-patent-cli)](https://github.com/sonesuke/google-patent-cli)
- [arXiv CLI (arxiv-cli)](https://github.com/sonesuke/arxiv-cli)
Define product concept and identify competitors.

### Workflow
```bash
/patent-kit:concept-interview
# Output: specification.md
```

### Phase 1: Targeting

1. **Phase 0: Concept Interview**: Define product concept.
Generate search queries and create a target population.

```bash
/patent-kit.concept-interview
# Output: specification.md
```
```bash
/patent-kit:targeting
# Output: targeting.md, keywords.md, csv/
```

2. **Phase 1: Targeting**: Generate search queries and targets.
### Phase 2: Screening & Evaluation

```bash
/patent-kit:targeting
# Output: 1-targeting/targeting.md
```
Screen patents for relevance and evaluate claims.

3. **Phase 2: Screening**: Screen patents for relevance.
```bash
/patent-kit:screening
# Output: patents.db (screening results)

/patent-kit:evaluating
# Output: patents.db (claims and elements)
```

```bash
/patent-kit.screening
# Output: 2-screening/screening.md
```
### Phase 3: Claim Analysis

4. **Phase 3: Evaluation**: Analyze the patent.
Compare product features against patent elements.

```bash
/patent-kit:evaluation JP2023-123456
# Output: 3-investigations/JP2023-123456/evaluation.md
```
```bash
/patent-kit:claim-analyzing
# Output: patents.db (similarity results)
```

5. **Phase 4: Claim Analysis**: Define search strategy.
### Phase 4: Prior Art Research

```bash
/patent-kit:claim-analysis JP2023-123456
# Output: 3-investigations/JP2023-123456/claim-analysis.md
```
Search for prior art references for patents with Moderate/Significant similarities.

6. **Phase 5: Prior Art**: Run search and report.
```bash
/patent-kit:prior-art-researching
# Output: patents.db (prior art references)
```

```bash
/patent-kit:prior-art JP2023-123456
# Output: 3-investigations/JP2023-123456/prior-art.md
```
### Progress Report

7. **Track Progress**: Summarize the current status of all investigations.
Track progress across all phases at any time.

```bash
/patent-kit:progress
# Output: PROGRESS.md
```
```bash
/patent-kit:investigation-reporting
# Output: PROGRESS.md (overall progress)
# Output: <patent_id>.md (specific patent report)
```

## Output Structure

The project is organized into numbered phases:

```text
.
├── 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
├── specification.md # Phase 0: Product definition
├── targeting.md # Phase 1: Search strategy
├── keywords.md # Phase 1: Search keywords
├── csv/ # Phase 1: Target patent data
│ └── *.csv
└── patents.db # SQLite database for all investigation data
```

## Skills

### User-Invocable Skills

| Skill | Purpose |
| ------------------------- | -------------------------------------------------- |
| `concept-interviewing` | Define product concept and identify competitors |
| `targeting` | Create target population from patent databases |
| `screening` | Filter patents by legal status and relevance |
| `evaluating` | Decompose claims and elements for relevant patents |
| `claim-analyzing` | Compare product features against patent elements |
| `prior-art-researching` | Search for prior art references |
| `investigation-reporting` | Generate progress reports |

### Internal Skills

These skills are automatically invoked by other skills and should not be used directly.

| Skill | Purpose |
| ------------------------- | ------------------------------------------------ |
| `investigation-preparing` | Initialize SQLite database and import CSV files |
| `investigation-fetching` | Retrieve data from SQLite database |
| `investigation-recording` | Record data to SQLite database |
| `legal-checking` | Review documents for legal compliance violations |

## License

MIT
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