Are there rate limits for using Gemini via the CLI?

The free tier generally allows 60 requests per minute and 1,000 requests per day; the CLI includes auto-retry logic with backoff to manage these limits.

How do I resolve EPERM errors when using Gemini CLI?

EPERM errors occur because Gemini needs write access to ~/.gemini/tmp/. You must use 'dangerouslyDisableSandbox: true' in your Bash calls to allow this access.

How do I capture all output from a Gemini CLI command?

Always append '2>&1' to your Bash commands to ensure both standard output and error messages are captured for Claude to process.

Can I continue a previous Gemini session via the CLI?

Yes, you can use the '--list-sessions' flag to find the session index and then use the '-r [index]' flag to resume that specific conversation.

What is the recommended model for this skill?

The skill is optimized for 'gemini-3-flash-preview', which offers a balance of speed and intelligence for planning tasks.

Gemini CLI Integration

Name: Gemini CLI Integration
Author: GantisStorm

byGantisStorm

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Ciencia de Datos y ML

Facilitates seamless interaction with the Gemini CLI to leverage Google Gemini models directly within the Claude Code environment.

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The Gemini CLI skill provides a comprehensive reference for executing Google Gemini commands via Bash, enabling Claude Code to function as a multi-agent planner. By providing standardized patterns for model selection, session management, and structured output, it allows developers to swap planning engines and offload specific tasks to Gemini models. This skill is essential for users of the Pair Planning Framework who need to maintain context across sessions while navigating sandbox restrictions and rate limits for cross-model collaboration.

Características Principales

Structured JSON and human-readable text output formatting
Standardized Bash execution patterns for Gemini CLI commands
3 GitHub stars
Model selection optimization for gemini-3-flash-preview
Troubleshooting guides for EPERM errors and sandbox configurations
Session persistence and continuation management using index references

Casos de Uso

Executing high-frequency tasks using Gemini Flash to optimize token consumption
Integrating Gemini as a secondary planning engine for multi-agent workflows
Automating complex repository analysis using Gemini's large context windows via CLI

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Características Principales

Structured JSON and human-readable text output formatting
Standardized Bash execution patterns for Gemini CLI commands
3 GitHub stars
Model selection optimization for gemini-3-flash-preview
Troubleshooting guides for EPERM errors and sandbox configurations
Session persistence and continuation management using index references

Casos de Uso

Executing high-frequency tasks using Gemini Flash to optimize token consumption
Integrating Gemini as a secondary planning engine for multi-agent workflows
Automating complex repository analysis using Gemini's large context windows via CLI