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Patent Claims Analyzer

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RobThePCGuy
patent-claims-analyzer

Automated analysis of patent claims for USPTO compliance with 35 USC 112(b) requirements - antecedent basis, definiteness, claim structure

Overview

PublisherRobThePCGuy
RepositoryClaude-Patent-Creator
Skill namepatent-claims-analyzer
Stars
203
Forks
33
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by RobThePCGuy on GitHub. Read the source before you install it.

Installation

Install the Patent Claims Analyzer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/RobThePCGuy/Claude-Patent-Creator/tree/main/skills/patent-claims-analyzer
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/RobThePCGuy/Claude-Patent-Creator.git /tmp/Claude-Patent-Creator
mkdir -p .claude/skills
cp -r /tmp/Claude-Patent-Creator/skills/patent-claims-analyzer .claude/skills/patent-claims-analyzer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Patent Claims Analyzer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Patent Claims Analyzer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Patent Claims Analyzer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Patent Claims Analyzer Skill

Automated analysis of patent claims for USPTO compliance with 35 USC 112(b) requirements.

When to Use

Invoke this skill when users ask to:

  • Review patent claims for definiteness
  • Check antecedent basis in claims
  • Analyze claim structure
  • Find claim drafting issues
  • Validate claims before filing
  • Fix USPTO office action issues related to claims

What This Skill Does

Performs comprehensive automated analysis:

  1. Antecedent Basis Checking:

    • Finds terms used without prior introduction
    • Detects missing "a/an" before first use
    • Identifies improper "said/the" before first use
    • Tracks term references across claims
  2. Definiteness Analysis (35 USC 112(b)):

    • Identifies subjective/indefinite terms
    • Detects relative terms without reference
    • Finds ambiguous claim language
    • Checks for clear claim boundaries
  3. Claim Structure Validation:

    • Parses independent vs. dependent claims
    • Validates claim dependencies
    • Checks claim numbering
    • Identifies claim type (method, system, etc.)
  4. Issue Categorization:

    • Critical: Must fix before filing
    • Important: May cause rejection
    • Minor: Best practice improvements

Required Data

This skill uses the automated claims analyzer from: Location: ${CLAUDE_PLUGIN_ROOT}/python\claims_analyzer.py

How to Use

When this skill is invoked:

  1. Load the claims analyzer:

    python
    import os
    import sys
    sys.path.insert(0, os.environ.get('CLAUDE_PLUGIN_ROOT', '.'))
    from mcp_server.claims_analyzer import ClaimsAnalyzer
    
    analyzer = ClaimsAnalyzer()
  2. Analyze claims:

    python
    claims_text = """
    1. A system comprising:
        a processor;
        a memory; and
        said processor configured to...
    """
    
    results = analyzer.analyze_claims(claims_text)
  3. Present analysis:

    • Show compliance score (0-100)
    • List issues by severity (critical, important, minor)
    • Provide MPEP citations for each issue
    • Suggest specific fixes

Analysis Output Structure

python
{
    "claim_count": 20,
    "independent_count": 3,
    "dependent_count": 17,
    "compliance_score": 85,  # 0-100
    "total_issues": 12,
    "critical_issues": 2,
    "important_issues": 7,
    "minor_issues": 3,
    "issues": [
        {
            "category": "antecedent_basis",
            "severity": "critical",
            "claim_number": 1,
            "term": "said processor",
            "description": "Term 'processor' used with 'said' before first introduction",
            "mpep_cite": "MPEP 2173.05(e)",
            "suggestion": "Change 'said processor' to 'the processor' or introduce with 'a processor' first"
        },
        # ... more issues
    ]
}

Common Issues Detected

  1. Antecedent Basis Errors:

    • Using "said/the" before "a/an" introduction
    • Terms appearing in dependent claims not in parent
    • Missing antecedent in claim body
  2. Definiteness Issues:

    • Subjective terms: "substantially", "about", "approximately"
    • Relative terms: "large", "small", "thin"
    • Ambiguous language: "and/or", "optionally"
  3. Structure Issues:

    • Means-plus-function without adequate structure
    • Improper claim dependencies
    • Missing preamble or transition

Presentation Format

Present analysis as:

CLAIMS ANALYSIS REPORT
======================

Summary:
- Total Claims: 20 (3 independent, 17 dependent)
- Compliance Score: 85/100
- Issues Found: 12 (2 critical, 7 important, 3 minor)

CRITICAL ISSUES (Must Fix):

[Claim 1] Antecedent Basis Error
  Issue: Term 'processor' used with 'said' before introduction
  Location: "said processor configured to..."
  MPEP: 2173.05(e)
  Fix: Change to 'the processor' or introduce with 'a processor' first

[Claim 5] Indefinite Term
  Issue: Subjective term 'substantially' without definition
  Location: "substantially similar to..."
  MPEP: 2173.05(b)
  Fix: Define 'substantially' in specification or use objective criteria

IMPORTANT ISSUES:
...

MINOR ISSUES:
...

Integration with MPEP

For each issue, the skill can:

  1. Search MPEP for relevant guidance
  2. Provide specific MPEP section citations
  3. Show examiner guidance on similar issues
  4. Suggest fixes based on USPTO practice

Tools Available

  • Read: To load claims from files
  • Bash: To run Python analyzer
  • Write: To save analysis reports

Frequently asked questions

What does the Patent Claims Analyzer AI skill do?

Automated analysis of patent claims for USPTO compliance with 35 USC 112(b) requirements - antecedent basis, definiteness, claim structure

Why use Patent Claims Analyzer on TypingMind?

Because you install it once and use it with any model. Patent Claims Analyzer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Patent Claims Analyzer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RobThePCGuy/Claude-Patent-Creator/tree/main/skills/patent-claims-analyzer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Patent Claims Analyzer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Patent Claims Analyzer?

As many as you like. As long as a model supports skills, you can use Patent Claims Analyzer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Patent Claims Analyzer AI skill free?

Yes. It is published on GitHub by RobThePCGuy under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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