Is /gemini:think suitable for simple refactoring?

While it can be used for any task, it is most effective for 'hard' problems like system scaling, cache optimization, and distributed logic where exploration is key.

When should I use /gemini:think instead of standard Claude commands?

Use it for tasks requiring deep architectural decisions, complex math, or when you need to weigh multiple hypothetical solutions for a single bottleneck.

Does this skill integrate with my local project context?

Yes, after Gemini provides its deep analysis, Claude synthesizes the findings and adapts the recommendations specifically to your current project's code and context.

What is the Gemini Deep Think skill for Claude Code?

It is a specialized capability that allows Claude to delegate highly complex problems to Gemini's deep reasoning engine for exhaustive, multi-hypothesis analysis.

Which model powers the reasoning in this skill?

This skill utilizes the Gemini 2.5 Pro model in a dedicated reflection mode to provide structured, step-by-step reasoning.

Gemini Deep Think

Name: Gemini Deep Think
Author: atournayre

byatournayre

•

データサイエンスとML

Delegates complex architectural and algorithmic challenges to Gemini for multi-hypothesis reasoning and deep analysis.

The Gemini Deep Think skill empowers Claude with the advanced reasoning capabilities of Gemini 2.5 Pro. It is specifically designed to handle high-complexity tasks such as architectural trade-offs, intricate mathematical problems, and distributed system optimizations. By leveraging a step-by-step exploration of multiple hypotheses, it provides developers with thorough, well-reasoned solutions that Claude then synthesizes and adapts into the project's specific context, ensuring high-level insights are practical and actionable.

主な機能

01Seamless synthesis of AI recommendations into local project context

02Support for distributed systems and high-scale optimization scenarios

03Step-by-step reasoning via the Gemini 2.5 Pro engine

04Deep dive into complex architectural and algorithmic decisions

058 GitHub stars

06Multi-hypothesis problem exploration for thorough analysis

ユースケース

01Designing optimal caching algorithms for specific data workloads

02Solving complex distributed transaction logic using patterns like Saga

03Evaluating architectural trade-offs for scalable microservices

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add atournayre/claude-marketplace think

For use in Claude.ai and ChatGPT

Download Skill