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AI Engineering

IP Landscape Analysis

by revfactory

IP Landscape Analysis is an AI Engineering skill for Claude Code, published by revfactory in harness-100.

1.2K stars427 forkson revfactory/harness-100Added 2026/08/12+1% in starsRepository updated 2026/03/22
Install in seconds
Install IP Landscape Analysis
Copy IP Landscape Analysis into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/revfactory/harness-100/tree/main/en/100-ip-portfolio/.claude/skills/ip-landscape-analysis ~/.claude/skills/ip-landscape-analysis

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/revfactory/harness-100.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
en/100-ip-portfolio/.claude/skills/ip-landscape-analysis/skill.md in revfactory/harness-100
Installs to
~/.claude/skills/ip-landscape-analysis
Collection
One of 51 skills cataloged from this repository
Category
AI Engineering2451 skills

What IP Landscape Analysis does

IP Landscape Analysis helps analyze patent landscapes with trend, applicant, citation, and white space views, then turns findings into filing and defense strategy. Use it for IP landscape, patent map, or technology trend requests.

IP Landscape Analysis is cataloged under AI Engineering on DirSkills.

Documentation

README

IP Landscape Analysis — IP Landscape Analysis

Enhances the IP strategy analysis capabilities of the patent-mapper and protection-advisor agents.

IP Landscape Analysis Process

5-Step Analysis Procedure

Step 1: Define Technology Scope
  - Technology keywords + IPC/CPC codes
  - Search query design

Step 2: Data Collection
  - KIPRIS (Korea), USPTO (US), EPO (Europe)
  - Search range: Last 10-20 years

Step 3: Quantitative Analysis
  - Filing trends, applicant rankings, technology classification
  - Patent family analysis

Step 4: Qualitative Analysis
  - Key patent selection, claims analysis
  - White space identification

Step 5: Strategy Derivation
  - Opportunity/threat mapping
  - Filing/acquisition/licensing/design-around strategies

Patent Map Types

This is the opening of the README. Read the full README on GitHub.

Frequently asked about IP Landscape Analysis

  • What else does revfactory publish alongside IP Landscape Analysis?

    IP Landscape Analysis is one of 51 skills that DirSkills catalogs from revfactory/harness-100, the repository it ships in. Its siblings there include Ad Copywriting Formulas, Advertising Campaign and Argumentation Framework. Each one is a separate skill with its own page in this directory, installs the same way IP Landscape Analysis does, and is maintained by revfactory in that same repository. The rest of the collection is listed on the revfactory/harness-100 page.

  • How does IP Landscape Analysis compare to other AI Engineering skills?

    IP Landscape Analysis ranks #1161 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of IP Landscape Analysis against them. Open each page to compare what they document and how they install.

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