---
name: patent-drafting-bc9ed79cde83
description: # Patent Drafting — Intellectual Property Protection for Research
---

# Patent Drafting — Intellectual Property Protection for Research

## Overview
Draft patent applications for scientific inventions, covering claims, specification, and prior art analysis.

## Patent Application Structure

### 1. Title
- Descriptive but not limiting
- Include key technical terms

### 2. Abstract (150 words max)
- Technical problem, solution, key advantage
- Independent claim in prose form

### 3. Background / Field of Invention
- Technical field
- Prior art and its limitations
- Problem to be solved

### 4. Summary of Invention
- Brief description matching broadest claims
- Key advantages over prior art

### 5. Detailed Description
- Best mode of carrying out the invention
- Enable a person skilled in the art to reproduce
- Include examples and experimental data
- Reference all figures

### 6. Claims
- **Independent claims**: broadest protection
- **Dependent claims**: specific embodiments
- Method claims, composition claims, use claims
- Means-plus-function for apparatus

### 7. Drawings / Figures
- Flow diagrams, structural formulas, experimental results
- Reference numerals consistent with description

## Prior Art Search Strategy
1. Patent databases: Google Patents, USPTO, WIPO, EPO, CNIPA
2. Scientific literature: PubMed, Google Scholar
3. Conference proceedings and theses
4. Product catalogs and technical documents

## Key Principles
- **Enablement**: Specification must enable reproduction
- **Novelty**: At least one element not in prior art
- **Non-obviousness**: Combination/modification not obvious to skilled person
- **Written description**: Inventor possessed the invention at filing date


---
Source attribution: beita6969
Original project: https://github.com/beita6969/ScienceClaw/blob/e925f732c7ca435f557e88075bc47a58f1e984f1/skills/patent-drafting/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 Peter Steinberger

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: beita6969
Original project: https://github.com/beita6969/ScienceClaw/blob/e925f732c7ca435f557e88075bc47a58f1e984f1/skills/patent-drafting/SKILL.md
Attribution basis: Source repository record

Fields of work: Education & Research, Legal
Roles: Corporate Lawyer, IP / Patent Specialist, Researcher
Specialties: Specialty not specified
Tools: Cnipa, Epo, Google Patents, Google Scholar, Pubmed, Uspto, Wipo
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 973b09113cf9159026ed47a0c59892c7bf7feab6f8664c6844eb716697e9c43d