patent-analysis
CommunityMap IP landscapes, citations, and tech trends.
Education & Research#patent analysis#intellectual property#technology forecasting#citation network#ipc classification#s-curve diffusion#inventor collaboration
Authorxjtulyc
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It helps you analyze patents to understand where technologies are emerging, how ideas diffuse over time, which inventions are most influential, and how inventors collaborate across a landscape.
Core Features & Use Cases
- IPC/CPC technology landscape mapping: Classify patents and summarize activity by technology class to spot concentration and coverage gaps.
- Citation network & patent value proxies: Build directed citation graphs and compute centrality signals like forward-citation influence.
- Technology emergence detection: Fit an S-curve/Bass diffusion model to identify peak adoption timing and forecast technology diffusion.
- Inventor collaboration & whitespace: Construct co-invention networks and estimate opportunity/whitespace using recency and impact signals.
Quick Start
Use the patent-analysis skill to analyze a set of patents and produce an IPC-level landscape, citation-network insights, and an S-curve forecast for technology emergence.
Dependency Matrix
Required Modules
pandasnumpynetworkxscipyscikit-learnmatplotlibrequests
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: patent-analysis Download link: https://github.com/xjtulyc/awesome-rosetta-skills/archive/main.zip#patent-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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