---
name: ip-patent-analyzer-ade0b9dc14aa
description: Patent landscape analysis, IP strength assessment, freedom to operate review
allowed-tools:
  - Read
  - Write
  - Glob
  - Grep
  - Bash
  - WebFetch
metadata:
  specialization: venture-capital
  domain: business
  skill-id: vc-skill-015
graph:
  domains: [domain:venture-capital]
  skillAreas: [skill-area:investment-analysis, skill-area:valuation-analysis, skill-area:financial-modeling]
  roles: [role:financial-analyst]
---

# IP Patent Analyzer

## Overview

The IP Patent Analyzer skill provides comprehensive intellectual property analysis for venture capital due diligence. It assesses patent portfolios, analyzes competitive IP landscapes, and evaluates freedom to operate to identify IP-related risks and opportunities.

## Capabilities

### Patent Portfolio Analysis
- Inventory and categorize patent assets
- Assess patent quality and enforceability
- Evaluate geographic coverage
- Analyze patent family relationships

### Competitive IP Landscape
- Map competitor patent holdings
- Identify potential infringement risks
- Track patent filing trends
- Assess white space opportunities

### Freedom to Operate (FTO)
- Identify relevant third-party patents
- Assess infringement risk
- Evaluate design-around options
- Recommend mitigation strategies

### IP Strategy Assessment
- Evaluate IP filing strategy
- Assess trade secret protection
- Review licensing agreements
- Analyze IP-related litigation risk

## Usage

### Analyze Patent Portfolio
```
Input: Patent numbers, company name, technology area
Process: Research patents, assess quality
Output: Portfolio analysis, strength assessment
```

### Map Competitive Landscape
```
Input: Technology domain, competitor list
Process: Search patent databases, map holdings
Output: Landscape map, competitive analysis
```

### Conduct FTO Analysis
```
Input: Product/technology description
Process: Search relevant patents, assess risk
Output: FTO report, risk assessment
```

### Review IP Strategy
```
Input: IP documentation, filing history
Process: Evaluate strategy, identify gaps
Output: Strategy assessment, recommendations
```

## Assessment Criteria

| Category | Key Factors |
|----------|-------------|
| Patent Quality | Claims breadth, prosecution history, citations |
| Portfolio Strength | Size, coverage, strategic value |
| FTO Risk | Infringement probability, enforcement likelihood |
| Trade Secrets | Protection measures, documentation |
| Licensing | Agreement terms, royalty obligations |

## Integration Points

- **Technical Due Diligence**: IP assessment within tech DD
- **Legal Due Diligence**: Coordinate with legal review
- **Tech Stack Scanner**: Connect technical and IP analysis
- **Legal Reviewer (Agent)**: Support legal agent

## Data Sources

- USPTO, EPO, WIPO patent databases
- Google Patents for search and analysis
- Paid services (Derwent, PatSnap, Cipher)
- Company IP documentation
- Litigation databases (PACER, Docket Navigator)

## Best Practices

1. Focus on patents relevant to core technology
2. Consider both defensive and offensive value
3. Assess IP in context of business model
4. Evaluate trade secrets alongside patents
5. Consider international IP strategy


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

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.



# Mega AI Hub resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Data & Analytics, Finance & Accounting, Legal, Product Management, Sales
Roles: Business Development, CFO / FP&A, Legal Operations, Market Research Analyst, Product Manager
Specialties: Specialty not specified
Tools: Epo, Google Patents, Uspto, Wipo
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: c070ba23f89a784aa26c1470ca6c5f904db7063b8138c7ce63d75db6c1d0f3b9