Agent skill · AI & Agents

gemini-cli

Run Gemini CLI for AI queries. Use when user asks to "run/ask/use gemini", compare Claude vs Gemini, or delegate tasks to Gemini.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill gemini-cli-georgekhananaev-claude-skills-vault --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 1 KB
Bundled scripts: none
Path: skills/ai-llm/gemini-cli-georgekhananaev-claude-skills-vault/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Gemini CLI Interact w/ Google's Gemini CLI locally. Run queries, get responses, compare outputs. ## Prerequisites Gemini CLI must be installed & configured: 1. **Install:** https://github.com/google-gemini/gemini-cli 2. **Auth:** Run `gemini` & sign in w/ Google account 3. **Verify:** `gemini --version` ## When to Use - User asks to "run/ask/use gemini" - Compare Claude vs Gemini responses - Get second AI opinion - Delegate task to Gemini ## Usage ```bash # One-shot query gemini "Your prompt" # Specific model gemini -m gemini-3-pro-preview "prompt" # JSON output gemini -o json "prompt" # YOLO mode (auto-approve) gemini -y "prompt" # File analysis cat file.txt | gemini "Analyze this" ``` ## Comparison Workflow 1. Provide Claude's response first 2. Run same query via Gemini CLI 3. Present both for comparison ## CLI Options | Flag | Desc | |------|------| | `-m` | Model (gemini-3-pro) | | `-o` | Output: text/json/stream-json | | `-y` | Auto-approve (YOLO) | | `-d` | Debug mode | | `-s` | Sandbox mode | | `-r` | Resume session | | `-i` | Interactive after prompt | ## Best Practices - Quote prompts w/ double quotes - Use `-o json` for parsing - Pipe files for context - Specify model f

What's inside
Steps it walks through
  1. Prerequisites
  2. When to Use
  3. Usage
  4. Comparison Workflow
  5. CLI Options
  6. Best Practices
Ships with 1 file
  • metadata.json
Commands it runs
One-shot query
gemini "Your prompt"
Specific model
gemini -m gemini-3-pro-preview "prompt"
JSON output
gemini -o json "prompt"
YOLO mode (auto-approve)
gemini -y "prompt"
File analysis
cat file.txt | gemini "Analyze this"
More from claude-skill-registry
All skills →
descriptive-statisticsSummarizing and visualizing data through measures of center, spread, shape, and position. Covers…Data & Analyticsperplexity-researcher-reasoning-proHighest level of research and reasoning capabilities for complex decision-making with significant…OtherretroBrutally honest engineering retrospective. Analyzes git history for what actually happened — not…Data & AnalyticsanalyzeUniversal multi-perspective analyzer for any topic, file, idea, or decision. Extract key points…Otherarize-prompt-optimizationINVOKE THIS SKILL when optimizing, improving, or debugging LLM prompts using production trace data…Data & Analyticscellxgene-contextGuide for integrating CellxGene Census single-cell data with ENCODE bulk experiments. Use when…Data & Analytics
About this skill
What does the gemini-cli skill do?

Run Gemini CLI for AI queries. Use when user asks to "run/ask/use gemini", compare Claude vs Gemini, or delegate tasks to Gemini.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill gemini-cli-georgekhananaev-claude-skills-vault --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.

Keep going
All skills →
The full catalog, by category and by tool.
Open Source Radar →
The repositories these skills come from, watched daily.
The people behind them →
Makers and builders across the ecosystem.