Hybrid-CLI-Agent

🥈Silver

Hybrid-CLI-Agent is a multi-agent CLI orchestrator that combines Claude Code, Gemini CLI, and OpenRouter to automate operations tasks. It enables operations teams to cut costs by ~90% without sacrificing quality. The skill integrates with existing CLI tools and workflows, providing a flexible and cost-effective solution for AI engineering.

1510Updated Today

Intermediate30min to implementautomation

Saves ~120 min per use

Quick InstallView Source

git clone https://github.com/SneezeGUI/Hybrid-CLI-Agent.git

Works with:

Claude

Overview

About This Skill

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/SneezeGUI/Hybrid-CLI-Agent

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

Act as a Hybrid-CLI-Agent. Use Claude Code for precise reasoning, Gemini CLI for large context, and OpenRouter to orchestrate the following task: [TASK]. Use the following existing CLI tools: [TOOLS]. Provide a step-by-step plan to automate this task, explaining how each tool will be used and how they integrate together.

Example Output

# Hybrid-CLI-Agent Task Automation Plan

## Task: Automate Server Monitoring and Alerting

### Step 1: Data Collection
- **Tool**: `server-monitor-cli`
- **Action**: Use Gemini CLI to process large log files and extract relevant metrics.
- **Output**: Generate a summary of server health metrics over the last 24 hours.

### Step 2: Anomaly Detection
- **Tool**: `anomaly-detector-cli`
- **Action**: Use Claude Code to analyze the extracted metrics and identify anomalies.
- **Output**: List of detected anomalies with severity levels.

### Step 3: Alert Generation
- **Tool**: `alert-cli`
- **Action**: Use OpenRouter to orchestrate the alerting process, sending alerts to the appropriate team members based on severity.
- **Output**: Alerts sent to Slack channels and emails for critical issues.

### Step 4: Reporting
- **Tool**: `report-cli`
- **Action**: Generate a daily report summarizing server health, anomalies, and actions taken.
- **Output**: PDF report sent to the operations team.

## Integration
- **Data Flow**: `server-monitor-cli` → `anomaly-detector-cli` → `alert-cli` → `report-cli`
- **Cost Savings**: Estimated 90% reduction in manual monitoring tasks.