orchestrate-agent-clis

Orchestrate multiple AI agent CLIs to compare solution approaches.

2|Updated Jun 1, 2017
One-click install
npx skills add https://github.com/carlos-algms/dotfiles --skill orchestrate-agent-clis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orchestrate-agent-clis
Source: https://github.com/carlos-algms/dotfiles/tree/main/AI-configs/skills/orchestrate-agent-clis
Command: npx skills add https://github.com/carlos-algms/dotfiles --skill orchestrate-agent-clis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the need to get multiple, diverse AI perspectives quickly so you can compare approaches and improve decision-making on complex tasks.

Core Features & Use Cases

  • Multi-agent execution with sensible defaults: Runs Gemini, Codex, Claude Code, Cursor Agent, and Pi with guidance to avoid unnecessary follow-up questions unless the user asks for choices or required inputs are missing.
  • Model-specific strengths for different task types: Uses each provider appropriately, such as Gemini for research with internet access and Codex for fast, code-focused generation.
  • Comparison and read-only workflows: Encourages “analyze only” prompts for reviews/plans and supports comparing outputs by asking multiple agents about the same problem.

Quick Start

Ask your desired agent by name, for example: "ask cursor composer-2 to propose an approach for implementing feature X, and then ask codex to compare it with a different implementation strategy."

Frequently Asked Questions about orchestrate-agent-clis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compare multiple AI coding agents side by side for the same task?

To compare multiple AI coding agents side by side, you can orchestrate CLIs like Gemini, Codex, and Claude Code to request alternative perspectives on the same problem. This routes your prompt to different models so you can evaluate their solution approaches simultaneously.

What is the best way to use different AI models for research and code generation?

Using different AI models for research and code generation involves routing requests to specific CLIs based on their strengths, such as using Gemini for internet-accessed research and Codex for fast code generation, ensuring model-specific capabilities match the task type.

Can I run Cursor Agent and Claude Code together to review a proposed implementation?

Yes, you can run Cursor Agent and Claude Code together to review an implementation by requesting read-only workflows. This allows you to ask multiple agents to analyze the same proposed approach and compare their feedback without making file changes.

Does multi-model CLI orchestration support read-only analysis for planning?

Multi-model CLI orchestration supports read-only analysis for planning by applying analyze-only prompts. This encourages agents to review code or propose strategies without executing changes, providing safe comparative outputs for complex tasks.

Why does CLI orchestration route my prompt to specific AI agents automatically?

CLI orchestration routes your prompt to specific AI agents automatically to leverage model-specific strengths for different task types. It applies when users explicitly name agents or when multi-model collaboration is needed for complex research, coding, or review.