# New Collaboration Paradigm Between Claude Code and Gemini CLI: gemini-delegate Lets AI Assistants Do Their Jobs

> gemini-delegate is a Claude Code skill plugin that intelligently identifies task types and automatically delegates suitable work to Google Gemini CLI. It fully leverages Claude's coding capabilities and Gemini's advantages in million-level context, real-time search, and multimodal processing to achieve a dual-AI collaborative workflow.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-04-03T12:23:22.000Z
- 最近活动: 2026-04-03T12:49:25.429Z
- 热度: 150.6
- 关键词: Claude Code, Gemini CLI, AI协作, 多模态, 代码助手, 智能委托, 百万上下文, 实时搜索
- 页面链接: https://www.zingnex.cn/en/forum/thread/claude-code-gemini-cli-gemini-delegate-ai
- Canonical: https://www.zingnex.cn/forum/thread/claude-code-gemini-cli-gemini-delegate-ai
- Markdown 来源: floors_fallback

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## Introduction: New Collaboration Paradigm Between Claude Code and Gemini CLI

# Introduction: New Collaboration Paradigm Between Claude Code and Gemini CLI

gemini-delegate is a Claude Code skill plugin that intelligently identifies task types and automatically delegates suitable work to Google Gemini CLI. It fully leverages Claude's coding capabilities and Gemini's advantages in million-level context, real-time search, and multimodal processing to achieve a dual-AI collaborative workflow, letting AI assistants do their respective jobs.

## Background: Capability Boundaries of Single AI and Collaboration Needs

# Background: Capability Boundaries of Single AI and Collaboration Needs

In daily development, Claude Code is recognized for its excellent code understanding and generation capabilities, but it has bottlenecks: limited by context window when processing large files, unable to perform real-time online searches, and lacking native support for multimodal content. Google Gemini CLI, on the other hand, has million-level token context, built-in real-time search, and multimodal reading functions. How to make them collaborate has become a new exploration direction.

## gemini-delegate Project: Trigger Scenarios for Intelligent Task Delegation

# gemini-delegate Project: Trigger Scenarios for Intelligent Task Delegation

gemini-delegate is a task scheduling layer with intelligent judgment capabilities, core to which is "let the right tool do the right thing". Delegation is automatically triggered in the following scenarios:
1. **Large file processing**: When a code file exceeds about 500 lines, use Gemini's large context for complete analysis;
2. **Full codebase analysis**: Call the `codebase_investigator` tool to deeply map the project architecture;
3. **Multimodal processing**: Support reading of images, videos, PDFs and other files;
4. **Real-time information acquisition**: Query time-sensitive content such as the latest software versions and CVE vulnerabilities;
5. **Double verification**: Call Gemini for cross-verification on key tasks (code generation, review, etc.) to improve quality.

## Technical Implementation: Complete Workflow From Trigger to Result Return

# Technical Implementation: Complete Workflow From Trigger to Result Return

gemini-delegate's workflow:
1. **Task trigger**: Automatic feature recognition trigger or user explicit instruction;
2. **Config reading**: Read `config.md` to get user subscription tier and model settings;
3. **Model selection**: Use DEFAULT_MODEL (e.g., auto-gemini-3) for complex tasks, FAST_MODEL (e.g., gemini-3-flash-preview) for fast tasks, and Pro-exclusive PREVIEW_MODEL for cutting-edge tasks;
4. **Command construction and execution**: Build Gemini CLI command and attach the instruction "Execute immediately, do not show a plan." to avoid hanging;
5. **Result return**: Claude receives and integrates Gemini's output to present a complete answer.

## Practical Applications: Typical Scenario Examples

# Practical Applications: Typical Scenario Examples

gemini-delegate's 6 typical usage scenarios:
1. **Large file summary**: Generate a structured summary for a 3000-line legacy configuration file;
2. **Codebase architecture analysis**: Output module relationships and dependency graphs for newly taken-over projects;
3. **UI screenshot analysis**: Describe components and layout in interface screenshots;
4. **Real-time security audit**: Query the latest CVE vulnerabilities and repair suggestions for libraries like lodash;
5. **Video bug analysis**: Identify issues in screen recording videos;
6. **PDF report extraction**: Structured extraction of key findings and recommendations from technical whitepapers.

## Installation and Configuration Guide

# Installation and Configuration Guide

1. **Install Gemini CLI**: `npm install -g @google/gemini-cli`;
2. **Install the skill**: `git clone https://github.com/charlienew/gemini-delegate.git`, copy to Claude's skill directory: `cp -r gemini-delegate ~/.claude/skills/gemini-delegate`;
3. **Config adjustment**:
   - Free version: Default configuration (model gemini-2.5-flash);
   - Pro version: Modify `config.md` to unlock Gemini3 series: `TIER=pro`, `DEFAULT_MODEL=auto-gemini-3`, etc.

## Limitations and Future Trends of AI Collaboration

# Limitations and Future Trends of AI Collaboration

**Limitations**: Requires stable network (for real-time search), free version quota limits, OAuth token expiration requiring re-authentication, and large codebases needing `.geminiignore` to exclude redundant directories.
**Future trends**: gemini-delegate represents the multi-AI collaboration paradigm, where different AIs perform their respective roles and are seamlessly connected via standard interfaces. This will become the evolution direction of development workflows, unlocking the potential of cross-platform intelligent collaboration.