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setup-assistant设置助理

Agent Skill

setup-assistant 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

451

周安装

19

GitHub Stars

96

下载量

158
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:setup-assistant(设置助理)
来源仓库:https://github.com/robthepcguy/claude-patent-creator
仓库路径:skills/setup-assistant
安装命令:
npx skills add https://github.com/robthepcguy/claude-patent-creator --skill setup-assistant
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/robthepcguy/claude-patent-creator --skill setup-assistant

简介

setup-assistant 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 它支持按来源仓库、安装命令和原始 README 核验具体用法,适用于信息整理与定向搜索场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和维护状态后再部署。
  • 安装前建议检查是否会触发联网、命令执行或文件读写,避免误操作影响系统安全。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

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=<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

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

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.93%
按下载量换算54

Claude

32.33%
按下载量换算51

Cursor

21.47%
按下载量换算34

Gemini CLI

9.58%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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