claude-code-toolkit

🥈Silver

Cross-platform toolkit for Claude Code. Enables operations teams to automate code tasks across Linux, macOS, and Windows. Integrates with shell scripts and connects to Claude agents for code execution and management.

131140Updated 1mo ago

Intermediate30min to implementautomation

Saves ~120 min per use

Quick InstallView Source

git clone https://github.com/xixu-me/claude-code-toolkit.git

Works with:

Claude

Overview

About This Skill

How to Use

1. **Define the task**: Specify the automation goal (e.g., 'update dependencies', 'clean build artifacts') and target platforms. Use [PLACEHOLDERS] to customize the prompt_template for your needs. 2. **Prepare the environment**: Ensure claude-code-toolkit is installed on all target systems. Verify shell access and permissions (e.g., `chmod +x` for scripts). 3. **Execute the command**: Paste the customized prompt into Claude/ChatGPT. For complex tasks, break the workflow into [STEPS] and validate outputs at each stage. Use `log_file_path` to track changes. 4. **Validate results**: Review the execution report for errors or warnings. For multi-platform tasks, compare outputs across systems to ensure consistency. 5. **Iterate if needed**: If the task fails on one platform, adjust the shell command or platform-specific logic and retry. Use the toolkit's cross-platform support to debug issues remotely.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/xixu-me/claude-code-toolkit

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Use the claude-code-toolkit to automate [TASK_DESCRIPTION] across [PLATFORM: Linux/macOS/Windows]. Execute the following shell command: [SHELL_COMMAND]. If the task requires multi-step logic, break it into [STEPS] and validate each step's output. Log all operations to [LOG_FILE_PATH] and provide a summary of changes made.

Example Output

```
=== claude-code-toolkit Execution Report ===
Task: Automate dependency updates for a Python project across Linux, macOS, and Windows.
Platforms: Linux (Ubuntu 22.04), macOS (Ventura 13.4), Windows (10 Pro)

Step 1: Update pip and virtualenv
- Linux: ✅ Updated pip from 22.0.4 to 23.3.1
- macOS: ✅ Updated pip from 22.3.1 to 23.3.1
- Windows: ✅ Updated pip from 22.1.2 to 23.3.1

Step 2: Check outdated packages
- Linux: Found 12 outdated packages (e.g., requests 2.28.1 → 2.31.0)
- macOS: Found 10 outdated packages (e.g., numpy 1.23.5 → 1.26.2)
- Windows: Found 14 outdated packages (e.g., pandas 1.5.3 → 2.1.1)

Step 3: Generate update script
Created update_script.sh with platform-specific commands:
```bash
# Linux/macOS
pip install --upgrade $(pip list --outdated | awk 'NR>2 {print $1}')

# Windows
pip install --upgrade (pip list --outdated | Select-Object -Skip 2 | ForEach-Object { $_.Split()[0] })
```

Step 4: Execute update
- Linux: Updated 12 packages successfully
- macOS: Updated 10 packages successfully
- Windows: Updated 14 packages successfully

=== Summary ===
Total packages updated: 36
Platforms processed: 3
Time elapsed: 4m 22s
Log saved to: /reports/dependency_updates_20231115.log
```