# Gemini CLI Orchestrator

> Use this tool when you need to facilitate effective collaboration between AI agents and Google's Gemini CLI, or when facing complex analysis workflows that require strategic guidance. The Gemini CLI Orchestrator generates intelligent prompts and frameworks to guide agents through sequential analysis, ReAct loops, and synthesis strategies, optimized for Gemini's large context window. Ideal for security reviews, architecture analysis, and debugging workflows, this tool helps agents develop advanced techniques like subsystem aggregation and multi-perspective analysis synthesis.

Canonical page: https://skillsregistry.net/skills/gemini-cli-orchestrator  
JSON: https://api.skillsregistry.net/v1/skills/gemini-cli-orchestrator

## Description

A pure metaprompting MCP server that teaches AI agents how to collaborate effectively with Google's Gemini CLI through strategic guidance rather than direct execution. Built by Danny Nguyen, this implementation provides no execution logic whatsoever - instead it returns intelligent prompts and frameworks that guide agents through sequential analysis workflows, ReAct loops, and synthesis strategies optimized for Gemini's 1M+ token context window. The server emphasizes Gemini 2.5 Flash model usage for better availability and cost-effectiveness, while teaching agents advanced techniques like complete subsystem aggregation, iterative reasoning patterns, and multi-perspective analysis synthesis for security reviews, architecture analysis, and debugging workflows.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gemini-cli-orchestrator)
- **Repository:** <https://github.com/dnnyngyen/gemini-cli-orchestrator>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gemini-cli-orchestrator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gemini-cli-orchestrator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gemini-cli-orchestrator/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt