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Setup Assistant

skill-robthepcguy-claude-patent-creator-setup-assistant · by RobThePCGuy

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

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Install

$ agentstack add skill-robthepcguy-claude-patent-creator-setup-assistant

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

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)

# 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:

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

Phase 2: Virtual Environment

# 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):

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

Manual (Advanced):

# 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:

# 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:

python install.py  # Handles registration automatically

Manual:

# 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:

# Required
GOOGLE_CLOUD_PROJECT=your_project_id
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

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

| Issue | Solution | |-------|----------| | PyTorch CPU-only | Reinstall PyTorch FIRST | | MCP not loading | Restart Claude Code, verify with claude mcp list | | Path errors | Use forward slashes (/) not backslashes (\\) | | BigQuery fails | Re-auth: gcloud auth application-default login | | Index not found | Build: patent-creator rebuild-index | | Import errors | Activate 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

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

Rebuilding Index

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

Re-registering MCP

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

Quick Reference

Essential Commands

# 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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.