gemini-cli
Use Gemini CLI as a complementary AI tool for tasks requiring massive context windows (1M tokens). Invoke when analyzing large codebases, requesting deep analysis with extended thinking, getting second opinions on complex problems, or when Claude's context limits are insufficient. Triggers include phrases like "use gemini", "analyze with gemini", "get second opinion", "deep analysis of codebase", or when processing files exceeding Claude's context capacity.
npx skills add majiayu000/claude-skill-registry --skill gemini-cli-oleksandrkucherenko-e-bash --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Gemini CLI Integration Gemini CLI provides access to Google's Gemini models with 1 million token context windows directly from the terminal. Use it as a complementary tool for tasks where extended context or alternative perspectives add value. ## Core Use Cases 1. **Large codebase analysis** - Analyze entire repositories that exceed Claude's context 2. **Deep thinking tasks** - Extended reasoning on complex architectural decisions 3. **Second opinions** - Cross-validate Claude's analysis on critical problems 4. **Bulk file processing** - Process multiple files in a single context ## Quick Reference ```bash # Basic one-shot query gemini "Explain this codebase architecture" # Interactive mode (continue conversation) gemini -i "Start analyzing this project" # Auto-approve file operations (use carefully) gemini --approval-mode yolo "Refactor all deprecated API calls" # Specify model explicitly gemini -m gemini-2.5-pro "Complex analysis task" # Include additional directories gemini --include-directories ./libs,./shared "Analyze dependencies" # Resume previous session gemini --resume latest gemini --resume 3 # List available sessions gemini --list-sessions # Use EOF pattern for multi-l
- Core Use Cases
- Quick Reference
- Workflow Patterns
- Pattern 1: Codebase Analysis
- Pattern 2: Second Opinion
- Pattern 3: Deep Reasoning
- Pattern 4: Interactive Exploration
- Approval Modes
- Output Formats
- Session Management
- MCP Server Integration
- Best Practices
- When to Use Gemini vs Claude
- Troubleshooting
Basic one-shot query gemini "Explain this codebase architecture" Interactive mode (continue conversation) gemini -i "Start analyzing this project" Auto-approve file operations (use carefully) gemini --approval-mode yolo "Refactor all deprecated API calls" Specify model explicitly gemini -m gemini-2.5-pro "Complex analysis task" Include additional directories gemini --include-directories ./libs,./shared "Analyze dependencies"
What does the gemini-cli skill do?
Use Gemini CLI as a complementary AI tool for tasks requiring massive context windows (1M tokens). Invoke when analyzing large codebases, requesting deep analysis with extended thinking, getting second opinions on complex problems, or when Claude's context limits are insufficient. Triggers include phrases like "use gemini", "analyze with gemini", "get second opinion", "deep analysis of codebase", or when processing files exceeding Claude's context capacity.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill gemini-cli-oleksandrkucherenko-e-bash --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.