Agent skill

gemini

Execute Gemini CLI for AI-powered code analysis and generation. Use when you need to leverage Google's Gemini models for complex reasoning tasks.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill gemini-hankliu447-superspec --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Path: skills/ai-llm/gemini-hankliu447-superspec/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 Integration ## Overview Execute Gemini CLI commands with support for multiple models and flexible prompt input. Integrates Google's Gemini AI models into Claude Code workflows. ## When to Use - Complex reasoning tasks requiring advanced AI capabilities - Code generation and analysis with Gemini models - Tasks requiring Google's latest AI technology - Alternative perspective on code problems ## Usage **推荐方式**（使用 uv run，自动管理 Python 环境）： ```bash uv run ~/.claude/skills/gemini/scripts/gemini.py -m <model> -p "<prompt>" [working_dir] ``` **备选方式**（直接执行或使用 Python）： ```bash ~/.claude/skills/gemini/scripts/gemini.py -m <model> -p "<prompt>" [working_dir] # 或 python3 ~/.claude/skills/gemini/scripts/gemini.py -m <model> -p "<prompt>" [working_dir] ``` ## Environment Variables - **GEMINI_MODEL**: Override default model (default: `gemini-3-pro-preview`) - Example: `export GEMINI_MODEL=gemini-3` - **GEMINI_TIMEOUT**: Override timeout in milliseconds (default: 7200000 = 2 hours) - Example: `export GEMINI_TIMEOUT=3600000` for 1 hour ## Timeout Control - **Built-in**: Script enforces 2-hour timeout by default - **Override**: Set `GEMINI_TIMEOUT` environment variable (in milliseconds) -

What's inside
Steps it walks through
  1. Overview
  2. When to Use
  3. Usage
  4. Environment Variables
  5. Timeout Control
  6. Parameters
  7. Return Format
  8. Invocation Pattern
  9. Examples
  10. Notes
Ships with 1 file
  • metadata.json
Commands it runs
uv run ~/.claude/skills/gemini/scripts/gemini.py -m <model> -p "<prompt>" [working_dir]
python3 ~/.claude/skills/gemini/scripts/gemini.py -m <model> -p "<prompt>" [working_dir]
uv run ~/.claude/skills/gemini/scripts/gemini.py -m gemini-3-pro-preview -p "explain quantum computing"
uv run ~/.claude/skills/gemini/scripts/gemini.py -m gemini-3-pro-preview -p "review this code for security issues: $(cat app.py)"
uv run ~/.claude/skills/gemini/scripts/gemini.py -m gemini-3-pro-preview -p "analyze project structure" "/path/to/project"
uv run ~/.claude/skills/gemini/scripts/gemini.py -m gemini-3-pro-preview -p "quick code suggestion"
python3 ~/.claude/skills/gemini/scripts/gemini.py -m gemini-3-pro-preview -p "your prompt here"
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About this skill
What does the gemini skill do?

Execute Gemini CLI for AI-powered code analysis and generation. Use when you need to leverage Google's Gemini models for complex reasoning tasks.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill gemini-hankliu447-superspec --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.

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