Can Gemini see my entire codebase?

Gemini sees the specific context or files you pass to it through the skill commands, utilizing its large context window for detailed analysis.

Does this skill support languages other than English?

Yes, the skill is configured to respond to triggers in both English and French, such as 'demande à gemini' or 'avis de gemini'.

What are the prerequisites for using this skill?

You need the Gemini CLI installed via npm (@google/gemini-cli) and must be authenticated by running the 'gemini' command once in your terminal.

Which Gemini model does this skill use?

By default, the skill interfaces with the model configured in your Gemini CLI, typically Gemini 1.5 or 2.0 Pro models.

Gemini Workflow Advice

Name: Gemini Workflow Advice
Author: theflysurfer

bytheflysurfer

生产力与工作流

Integrates Google Gemini's perspective into your terminal to provide second opinions on code, architecture, and implementation strategies.

关于

Gemini Workflow Advice is a specialized skill that allows Claude to consult the Google Gemini CLI during development sessions. It acts as a bridge between two of the world's most powerful AI models, enabling developers to cross-reference architectural decisions, validate complex logic, and receive automated code reviews. By leveraging Gemini's massive 1M+ token context window, this skill provides high-level feedback on production readiness, implementation comparisons, and code quality without requiring the user to switch windows or manually copy-paste code.

主要功能

Automated code reviews with actionable improvement summaries
Support for large context analysis including multi-file architectural questions
Direct integration with the @google/gemini-cli for real-time feedback
Cross-model validation for complex architectural decisions
Bilingual support for English and French command triggers
0 GitHub stars

使用场景

Requesting a second opinion on code quality and production readiness before a commit
Comparing two different technical approaches, such as choosing between Redis and in-memory caching
Getting an alternative AI perspective on complex legacy code refactoring

关于

主要功能

Automated code reviews with actionable improvement summaries
Support for large context analysis including multi-file architectural questions
Direct integration with the @google/gemini-cli for real-time feedback
Cross-model validation for complex architectural decisions
Bilingual support for English and French command triggers
0 GitHub stars

使用场景

Requesting a second opinion on code quality and production readiness before a commit
Comparing two different technical approaches, such as choosing between Redis and in-memory caching
Getting an alternative AI perspective on complex legacy code refactoring