agent-toolbox

🥈Silver

Agent-toolbox provides commands, rules, and setups for Claude Code, enabling local development and interoperability with Gemini. It benefits operations teams by streamlining agentic AI workflows and connecting to Xcode for development tasks.

2210Updated 2mo ago

Intermediate30min to implementautomation

Saves ~75 min per use

Quick InstallView Source

git clone https://github.com/czottmann/agent-toolbox.git

Works with:

Claude

Overview

About This Skill

How to Use

1. **Install agent-toolbox**: Run `pip install agent-toolbox` or clone from [GitHub repo]. Ensure Python 3.10+ and Xcode (for Swift projects) are installed. 2. **Initialize your project**: Use the prompt template above with your specific project details. The tool will scaffold the project with pre-configured templates for your target language. 3. **Implement features**: Replace [SPECIFIC_FEATURE] with your actual requirements. The tool provides component templates for common agent patterns (routers, API clients, error handlers). 4. **Test locally**: Use `agent-toolbox test` with different modes (unit, integration, end-to-end). The tool runs both language-specific tests and agent-specific validation. 5. **Deploy**: Run the deployment command with your target platform (gemini, claude, or local). The tool handles packaging, dependency resolution, and environment-specific configurations. Check the log file for any warnings or errors.

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/czottmann/agent-toolbox

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 agent-toolbox to [TASK] for [PROJECT_NAME] in [LANGUAGE]. Follow these steps: 1) Initialize the project with `agent-toolbox init --language [LANGUAGE] --project [PROJECT_NAME]`. 2) Implement [SPECIFIC_FEATURE] using the provided templates. 3) Test locally with `agent-toolbox test --mode [MODE]` and ensure compatibility with [TARGET_PLATFORM]. 4) Deploy the agent using `agent-toolbox deploy --target [TARGET_PLATFORM] --env [ENVIRONMENT]`. Document any errors in [LOG_FILE_PATH].

Example Output

### Project Initialization
```bash
agent-toolbox init --language swift --project CustomerSupportAgent
```
Output:
```
Project 'CustomerSupportAgent' initialized in /Users/dev/projects/CustomerSupportAgent
Swift templates loaded: Agent.swift, APIClient.swift, ErrorHandler.swift
Xcode project generated: CustomerSupportAgent.xcodeproj
```

### Feature Implementation
Added a new `TicketRouter` class to handle incoming support tickets:
```swift
class TicketRouter: AgentToolboxComponent {
    func route(ticket: Ticket) -> RouteResult {
        switch ticket.priority {
        case .high: return .immediateEscalation
        case .medium: return .assignToTeam(.backend)
        case .low: return .scheduleFollowup(days: 3)
        }
    }
}
```

### Local Testing
```bash
agent-toolbox test --mode integration
```
Output:
```
Running integration tests...
✅ TicketRouter tests passed (5/5)
✅ APIClient tests passed (8/8)
⚠️ Warning: Mock data mismatch in 1 test case
```

### Deployment Preparation
```bash
agent-toolbox deploy --target gemini --env staging
```
Output:
```
Preparing deployment package...
✅ Swift package validated
✅ Dependencies resolved
⚠️ Xcode version 15.2 required (current: 15.1)
📦 Package size: 4.2MB
Deploying to staging environment...
✅ Deployment successful (ID: deploy_20240515_1422)
```