Agent skill

Ip Landscape Analysis

by revfactory in revfactory/harness-100

IP landscape analysis guide. An agent skill from revfactory/harness-100.

Apache-2.0Auto-check passedLegal & Compliance

Install Ip Landscape Analysis

skills CLI
$ npx skills add revfactory/harness-100 --skill ip-landscape-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install revfactory/harness-100 ip-landscape-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/en/100-ip-portfolio/.claude/skills/ip-landscape-analysis .claude/skills/ip-landscape-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ip-landscape-analysis
GitHub stars
1.3k
Token cost
~1.3k tokens
SKILL.md length
290 words
Files
1
Skills in repo
464
Repo updated
First seen
Licence
Apache-2.0

At a glance

IP landscape analysis guide. An agent skill from revfactory/harness-100.

  • Technology trends requests
  • SKILL.md covers IP Landscape Analysis Process, Patent Map Types, White Space Analysis and FTO (Freedom to Operate)…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Intellectual property

What it does

Ip Landscape Analysis is an agent skill from revfactory/harness-100. IP landscape analysis guide. Referenced by the patent-mapper and protection-advisor agents when analyzing technology-specific patent landscapes and developing strategies. Use for 'IP landscape', 'patent map', or 'technology trends' requests. Patent filing services and patent search database access are out of scope.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Legal & Compliance, covering Intellectual property. The licence is Apache-2.0.

When your agent uses it

  • Technology trends requests
  • Tasks that involve Intellectual property

Example prompts

  • “IP landscape”
  • “patent map”
  • “technology trends”
  • “/ip-landscape-analysis”

What it can do on your machine

Read from SKILL.md and the folder at commit 8e8d35c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ip Landscape Analysis loads about 1.3k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 290 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 290 words, ~1,285 tokens.

Download SKILL.mdSave it as .claude/skills/ip-landscape-analysis/SKILL.md (or your agent's skills folder).
name
ip-landscape-analysis
description
IP landscape analysis guide. Referenced by the patent-mapper and protection-advisor agents when analyzing technology-specific patent landscapes and developing strategies. Use for 'IP landscape', 'patent map', or 'technology trends' requests. Patent filing services and patent search database access are out of scope.

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

Technology-Timeline Map
         2020  2021  2022  2023  2024
Tech A    ##    ###   ####  ##### ######
Tech B    #     ##    ###   ####  ####
Tech C    ###   ##    ##    #     #
Tech D    -     -     #     ##    ####

-> Tech A: Rapid growth, Tech D: Emerging
-> Tech C: Declining
Applicant Portfolio Map
ApplicantTech ATech BTech CTotal
Company X45321895
Company Y38282591
Competitor Z5215875
Our Company1220537
Citation Network Map
Key patent identification criteria:
- Top 10% by forward citations
- Examiner citations (higher weight)
- Betweenness centrality

White Space Analysis

Technology-Market Matrix
         Market A    Market B    Market C
Tech 1    ####       ##         ....  <- Gap
Tech 2    ###        ....       ##    <- Gap
Tech 3    ....       ###        ####  <- Gap

.... = White Space (no/few filings)
-> Strategic filing opportunities
White Space Types
TypeDescriptionStrategy
Technology GapUnexplored technology areaPreemptive filing
Market GapUnapplied market/regionForeign filing
Applicant GapArea competitors have not enteredRapid portfolio build

FTO (Freedom to Operate) Analysis

FTO Analysis Procedure
1. Confirm target product/technology specifications
2. Search relevant patents (registered/valid patents)
3. Claims analysis (element-by-element comparison)
4. Infringement risk assessment
   - Literal infringement: All elements match
   - Doctrine of equivalents: Substantially identical
5. FTO opinion preparation
Infringement Risk Matrix
RiskInfringement LikelihoodImpactResponse
HighLiteral infringement possibleCore functionalityDesign-around / License
MediumEquivalents infringement possibleSome functionalityDesign-around review
LowLow infringement likelihoodNon-coreMonitoring

IP Strategy Framework

Offensive/Defensive Strategies
StrategyPurposeMeans
Patent FenceProtect core technologyFile surrounding patents
Preemptive FilingMarket entry barrierFast filing on new technology
Cross-LicensingMutual practice rightsPortfolio exchange
Defensive PublicationBlock competitor filingsPublish technology (establish prior art)
Patent PoolAccess standard technologyIndustry-wide joint licensing
IP Portfolio Optimization
Retention Criteria:
  3 stars - Core: Directly business-related, high value
  2 stars - Important: Defensive value, revenue potential
  1 star - Moderate: Review value vs maintenance cost

Pruning Criteria:
  - No business relevance + no licensing demand -> Abandon
  - Maintenance cost > value -> Sell or abandon
  - Expiring within 3 years + no utilization plan -> Consider abandonment

Renewal Management

Country-Specific Patent Life/Renewal Costs
CountryPatent TermRenewal CycleCost Trend
KoreaFiling date + 20 yearsAnnual (from year 4)Increases annually
United StatesFiling date + 20 yearsAt 3.5/7.5/11.5 years3 stages
Europe (EP)Filing date + 20 yearsAnnual (from year 3)Increases annually
JapanFiling date + 20 yearsAnnual (from year 4)Increases annually
ChinaFiling date + 20 yearsAnnualIncreases annually

Quality Checklist

ItemCriteria
Search ScopeIPC/CPC + keyword combination
Quantitative AnalysisTrends, rankings, classification
White Space AnalysisTechnology-market matrix
FTOCore products/technologies covered
StrategyOffensive/defensive strategies specified
PortfolioRetention/pruning criteria defined

© revfactory, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in en/100-ip-portfolio/.claude/skills/ip-landscape-analysis of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Ip Landscape Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ip Landscape Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ip Landscape Analysis this skillrevfactory/harness-1001.3k—~1.3kAutomated safety check: PassApache-2.0
Paper to Chinese Patent DrafterYuan1z0825/nature-skills46k1 repos~1.1kAutomated safety check: PassApache-2.0
Paper To Cn Patentsnipp-zha/Paper-to-patent-Skill1051 repos~959Automated safety check: PassNone
Patent Examinegfodor/legal-skills393—~4.8kAutomated safety check: PassGPL-3.0
Patent Auditgfodor/legal-skills393—~2.9kAutomated safety check: PassGPL-3.0
Patent Workaroundgfodor/legal-skills393—~5.7kAutomated safety check: PassGPL-3.0

Similar skills

  • Paper to Chinese Patent Drafter

    Yuan1z0825/nature-skills

    Drafts Chinese invention patent applications and technical disclosures from research papers or inventor materials, tying each claim feature to source evidence.

    46k GitHub starsUsed in 1 repo~1.1k tokens
    Legal & ComplianceAuto-check passed
  • Paper To Cn Patent

    snipp-zha/Paper-to-patent-Skill

    Convert scientific papers, theses, technical reports, source code, figures, or research manuscripts into evidence-grounded Chinese invention patent drafts.

    105 GitHub starsUsed in 1 repo~959 tokens
    Legal & ComplianceAuto-check passed
  • Patent Examine

    gfodor/legal-skills

    Iteratively examine and revise a draft U.S. An agent skill from gfodor/legal-skills.

    393 GitHub stars~4.8k tokensUpdated 1 mo ago
    Legal & ComplianceAuto-check passed
  • Patent Audit

    gfodor/legal-skills

    Audit a draft U.S. An agent skill from gfodor/legal-skills.

    393 GitHub stars~2.9k tokensUpdated 1 mo ago
    Legal & ComplianceAuto-check passed
  • Patent Workaround

    gfodor/legal-skills

    Adversarially pressure-test a draft or pending U.S. An agent skill from gfodor/legal-skills.

    393 GitHub stars~5.7k tokensUpdated 1 mo ago
    Legal & ComplianceAuto-check passed
  • Design Information Prep

    SeanJ1ang/design-judge-skills

    Extract evidence-grounded project facts from user-provided design attachments, identify missing information, and prepare the exact written fields required by supported design-award entry forms.

    712 GitHub stars~1.8k tokensUpdated 1 mo ago
    Legal & ComplianceAuto-check: notes

More from revfactory/harness-100

All 464 skills in this repo
  • Anti Bot Analyzer

    revfactory/harness-100

    A skill for analyzing website anti-bot defense mechanisms and developing legitimate evasion strategies.

    1.3k GitHub stars~1.1k tokensUpdated 6 mo ago
    Auto-check passed
  • API Error Design Patterns

    revfactory/harness-100

    Reference for designing how an API reports failures: structured error codes, response shapes, client-friendly messages, an error catalog and retry or fallback advice.

    1.3k GitHub stars~1.6k tokensUpdated 6 mo ago
    Auto-check passed
  • API Security Checklist

    revfactory/harness-100

    Walks a backend-dev agent through OWASP API Top 10 checks, authentication and authorization patterns, and defense code during API design.

    1.3k GitHub stars~1.7k tokensUpdated 6 mo ago
    Auto-check passed
  • Arg Parser Generator

    revfactory/harness-100

    Methodology for systematically designing and generating CLI tool argument parser structures.

    1.3k GitHub stars~1.2k tokensUpdated 6 mo ago
    Auto-check passed
  • Audience Segmentation

    revfactory/harness-100

    Audience segmentation skill used by the analyst and curator agents.

    1.3k GitHub stars~1.3k tokensUpdated 6 mo ago
    Auto-check passed
  • Audio Storytelling

    revfactory/harness-100

    Audio storytelling skill used by the podcast scriptwriter and show note editor.

    1.3k GitHub stars~1.6k tokensUpdated 6 mo ago
    Auto-check passed

Questions about Ip Landscape Analysis

What does Ip Landscape Analysis do?

IP landscape analysis guide. An agent skill from revfactory/harness-100. Ip Landscape Analysis is an agent skill from revfactory/harness-100. IP landscape analysis guide.

When should I use Ip Landscape Analysis?

Ip Landscape Analysis fits situations like: technology trends requests; tasks that involve Intellectual property.

How do I install Ip Landscape Analysis in Claude Code?

Run `npx skills add revfactory/harness-100 --skill ip-landscape-analysis -a claude-code`. Or copy the skill folder (en/100-ip-portfolio/.claude/skills/ip-landscape-analysis in revfactory/harness-100) into .claude/skills/ip-landscape-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Ip Landscape Analysis in Codex?

Run `npx skills add revfactory/harness-100 --skill ip-landscape-analysis -a codex`. Or copy the skill folder (en/100-ip-portfolio/.claude/skills/ip-landscape-analysis in revfactory/harness-100) into .agents/skills/ip-landscape-analysis in your project. Codex loads it when a task matches its description.

Can I use Ip Landscape Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add revfactory/harness-100 --skill ip-landscape-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ip-landscape-analysis, .gemini/skills/ip-landscape-analysis, .github/skills/ip-landscape-analysis and .opencode/skills/ip-landscape-analysis in your project.

What does Ip Landscape Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Ip Landscape Analysis is instructions for the agent only.

Does Ip Landscape Analysis access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ip Landscape Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ip Landscape Analysis use?

Ip Landscape Analysis is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ip Landscape Analysis use?

About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ip Landscape Analysis?

Skills that share tags, products or a category with Ip Landscape Analysis: Paper to Chinese Patent Drafter (Yuan1z0825/nature-skills, 46k stars), Paper To Cn Patent (snipp-zha/Paper-to-patent-Skill, 105 stars), Patent Examine (gfodor/legal-skills, 393 stars) and Patent Audit (gfodor/legal-skills, 393 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ip Landscape Analysis?

revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.

Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.