gemini-cli
Google Gemini CLI orchestration for AI-assisted development. Capabilities: second opinion/cross-validation, real-time web search (Google Search), codebase architecture analysis, parallel code generation, code review from different perspective. Actions: query, search, analyze, generate, review with Gemini. Keywords: Gemini CLI, second opinion, cross-validation, Google Search, web research, current information, parallel AI, code review, architecture analysis, gemini prompt, AI comparison, real-time search, alternative perspective, code generation. Use when: needing second AI opinion, searching c
npx skills add majiayu000/claude-skill-registry --skill gemini-cli-brixtonpham-claude-config --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 Skill This skill enables Claude Code to effectively orchestrate Gemini CLI (v0.16.0+) with Gemini 3 Pro for code generation, review, analysis, and specialized tasks. ## When to Use This Skill ### Ideal Use Cases 1. **Second Opinion / Cross-Validation** - Code review after writing code (different AI perspective) - Security audit with alternative analysis - Finding bugs Claude might have missed 2. **Google Search Grounding** - Questions requiring current internet information - Latest library versions, API changes, documentation updates - Current events or recent releases 3. **Codebase Architecture Analysis** - Use Gemini's `codebase_investigator` tool - Understanding unfamiliar codebases - Mapping cross-file dependencies 4. **Parallel Processing** - Offload tasks while continuing other work - Run multiple code generations simultaneously - Background documentation generation 5. **Specialized Generation** - Test suite generation - JSDoc/documentation generation - Code translation between languages ### When NOT to Use - Simple, quick tasks (overhead not worth it) - Tasks requiring immediate response (rate limits cause delays) - When context is already loaded and
- When to Use This Skill
- Ideal Use Cases
- When NOT to Use
- Core Instructions
- 1. Verify Installation
- 2. Basic Command Pattern
- 3. Critical Behavioral Notes
- 4. Output Processing
- Quick Reference Commands
- Code Generation
- Code Review
- Bug Fixing
- Test Generation
- Documentation
command -v gemini || which gemini gemini "[prompt]" --yolo -o text 2>&1 gemini "Create [description] with [features]. Output complete file content." --yolo -o text gemini "Review [file] for: 1) features, 2) bugs/security issues, 3) improvements" -o text gemini "Fix these bugs in [file]: [list]. Apply fixes now." --yolo -o text gemini "Generate [Jest/pytest] tests for [file]. Focus on [areas]." --yolo -o text gemini "Generate JSDoc for all functions in [file]. Output as markdown." --yolo -o text gemini "Use codebase_investigator to analyze this project" -o text gemini "What are the latest [topic]? Use Google Search." -o text gemini "[prompt]" -m gemini-2.5-flash -o text
What does the gemini-cli skill do?
Google Gemini CLI orchestration for AI-assisted development. Capabilities: second opinion/cross-validation, real-time web search (Google Search), codebase architecture analysis, parallel code generation, code review from different perspective. Actions: query, search, analyze, generate, review with Gemini. Keywords: Gemini CLI, second opinion, cross-validation, Google Search, web research, current information, parallel AI, code review, architecture analysis, gemini prompt, AI comparison, real-time search, alternative perspective, code generation. Use when: needing second AI opinion, searching c
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill gemini-cli-brixtonpham-claude-config --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.
