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Setup Assistant

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RobThePCGuy
setup-assistant

Guides through installation, configuration, and first-time setup of the Claude Patent Creator system.

Overview

PublisherRobThePCGuy
RepositoryClaude-Patent-Creator
Skill namesetup-assistant
Stars
203
Forks
33
Bundled files
1
LicenseMIT
Links
Skill sourceRepository
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Setup Assistant 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/setup-assistant
  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/setup-assistant .claude/skills/setup-assistant
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Setup Assistant 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 Setup Assistant 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 Setup Assistant 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.

Setup Assistant Skill

Expert system for installing, configuring, and setting up the Claude Patent Creator MCP server.

When to Use

Installing first time, setting up new environment, configuring authentication, troubleshooting installation, migrating to new machine, updating dependencies, verifying health.

Quick Setup (5 Minutes)

bash
# 1. Create virtual environment
python -m venv venv
venv\Scripts\activate  # Windows
source venv/bin/activate  # Linux/macOS

# 2. Run installer
python install.py

# 3. Restart Claude Code

# 4. Test
# Ask Claude: "Search MPEP for claim definiteness"

Complete Setup Lifecycle

Phase 1: Pre-Installation Checks

Requirements:

  • Python 3.9-3.12 (3.11 recommended)
  • 8GB+ RAM (16GB recommended)
  • 5GB free disk
  • Optional: NVIDIA GPU with CUDA 12.x

Verify:

bash
python --version  # Should show 3.9-3.12
nvidia-smi        # Optional: Check GPU

Phase 2: Virtual Environment

bash
# Create venv
python -m venv venv

# Activate
venv\Scripts\activate  # Windows
source venv/bin/activate  # Linux/macOS

# Verify
which python  # Should show venv path

Important: Always activate venv before running scripts!

Phase 3: Dependency Installation

Automated (Recommended):

bash
python install.py
# Handles: PyTorch order, GPU detection, MCP registration

Manual (Advanced):

bash
# Install PyTorch FIRST (critical!)
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu128

# Then install package (includes all dependencies)
pip install -e .

Why PyTorch order matters: If installed after sentence-transformers, you get CPU-only version.

Phase 4: BigQuery Authentication (Optional)

BigQuery adds 100M+ patent search but is NOT required. MPEP search, claims review, EPO analysis, and all other features work without it.

The setup auto-detects existing gcloud credentials. If already authenticated, BigQuery works automatically.

If the user wants to enable BigQuery later:

bash
# One command — opens browser for Google sign-in (free, no credit card)
! gcloud auth application-default login

Do NOT present BigQuery as a failure or required step. It is a bonus feature.

Phase 5: MCP Server Registration

Automated:

bash
python install.py  # Handles registration automatically

Manual:

bash
# Get paths
patent-creator verify-config

# Register (use forward slashes!)
claude mcp add --transport stdio claude-patent-creator --scope user -- \
  "C:/path/to/venv/Scripts/python.exe" \
  "C:/path/to/mcp_server/server.py"

# Verify
claude mcp list

Critical: Restart Claude Code after registration!

Phase 6: Configuration Files

Create .env:

bash
# Required
GOOGLE_CLOUD_PROJECT=your_project_id
ANTHROPIC_API_KEY=<YOUR_ANTHROPIC_API_KEY>

# Optional
PATENT_LOG_LEVEL=INFO
PATENT_LOG_FORMAT=human
PATENT_ENABLE_METRICS=true

# Windows only
CLAUDE_CODE_GIT_BASH_PATH=C:\dev\Git\bin\bash.exe

Phase 7: Health Check

bash
patent-creator health

Phase 8: Present Results

Setup is complete when MPEP index is built and MCP server is registered. BigQuery and EPO OPS are optional enhancements.

Present a clean summary table showing what's ready. Do NOT dump manual setup instructions for optional features. The system is fully functional for:

  • MPEP/USC/CFR/EPC/PCT legal search
  • Claims analysis (US + EPO)
  • Specification analysis (US + EPO)
  • Formalities checking (US + EPO + PCT)
  • Patent diagram generation
  • Patent application drafting

If BigQuery is also configured, mention patent search as available. If not, do NOT present it as a failure — just omit it from the "ready" list.

Test with:

"Search MPEP for claim definiteness requirements"

If this works -> Setup complete. Tell the user they're ready.

Common Setup Issues

IssueSolution
PyTorch CPU-onlyReinstall PyTorch FIRST
MCP not loadingRestart Claude Code, verify with claude mcp list
Path errorsUse forward slashes (/) not backslashes (\)
BigQuery failsRe-auth: gcloud auth application-default login
Index not foundBuild: patent-creator rebuild-index
Import errorsActivate venv

Platform-Specific Notes

Windows

  • PowerShell: Use venv\Scripts\activate
  • Git Bash required for MCP commands
  • Paths: Always forward slashes in MCP config
  • CUDA: Install NVIDIA drivers + toolkit

Linux

  • venv: source venv/bin/activate
  • FAISS-GPU: Available on Linux only
  • Permissions: May need sudo

macOS

  • Apple Silicon: Use MPS (auto-detected)
  • Intel: Use CPU or external GPU
  • Homebrew: May need for dependencies

Update & Maintenance

Updating Dependencies

bash
venv\Scripts\activate
pip install -e . --upgrade
python scripts/test_install.py

Rebuilding Index

bash
patent-creator rebuild-index
# Wait 5-15 minutes

Re-registering MCP

bash
claude mcp remove claude-patent-creator
python install.py
# Restart Claude Code

Quick Reference

Essential Commands

bash
# Setup
python install.py
patent-creator health
claude mcp list

# Testing
python scripts/test_install.py
python scripts/test_gpu.py
python scripts/test_bigquery.py

# Maintenance
patent-creator rebuild-index
patent-creator verify-config

Critical Files

  • .env - Environment variables
  • requirements.txt - Dependencies
  • mcp_server/index/ - MPEP search index
  • pdfs/ - MPEP PDF files

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Setup Assistant AI skill do?

Guides through installation, configuration, and first-time setup of the Claude Patent Creator system.

Why use Setup Assistant on TypingMind?

Because you install it once and use it with any model. Setup Assistant 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 Setup Assistant in TypingMind?

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

Which AI models can use Setup Assistant?

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 Setup Assistant?

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

Is the Setup Assistant 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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