본문으로 건너뛰기
cccskills
무료GitHub에 공개

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

연동 도구Gemini
설치 방법 보기

포함된 파일(2)

  • SKILL.md3.1 KB
  • metadata.json538 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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

Mandatory: Run via uv with fixed timeout 7200000ms (foreground):

uv run ~/.claude/skills/gemini/scripts/gemini.py "<prompt>" [working_dir]

Optional (direct execution or using Python):

~/.claude/skills/gemini/scripts/gemini.py "<prompt>" [working_dir]
# or
python3 ~/.claude/skills/gemini/scripts/gemini.py "<prompt>" [working_dir]

Environment Variables

  • GEMINI_MODEL: Configure model (default: gemini-3-pro-preview)
    • Example: export GEMINI_MODEL=gemini-3

Timeout Control

  • Fixed: 7200000 milliseconds (2 hours), immutable
  • Bash tool: Always set timeout: 7200000 for double protection

Parameters

  • prompt (required): Task prompt or question
  • working_dir (optional): Working directory (default: current directory)

Return Format

Plain text output from Gemini:

Model response text here...

Error format (stderr):

ERROR: Error message

Invocation Pattern

When calling via Bash tool, always include the timeout parameter:

Bash tool parameters:
- command: uv run ~/.claude/skills/gemini/scripts/gemini.py "<prompt>"
- timeout: 7200000
- description: <brief description of the task>

Alternatives:

# Direct execution (simplest)
- command: ~/.claude/skills/gemini/scripts/gemini.py "<prompt>"

# Using python3
- command: python3 ~/.claude/skills/gemini/scripts/gemini.py "<prompt>"

Examples

Basic query:

uv run ~/.claude/skills/gemini/scripts/gemini.py "explain quantum computing"
# timeout: 7200000

Code analysis:

uv run ~/.claude/skills/gemini/scripts/gemini.py "review this code for security issues: $(cat app.py)"
# timeout: 7200000

With specific working directory:

uv run ~/.claude/skills/gemini/scripts/gemini.py "analyze project structure" "/path/to/project"
# timeout: 7200000

Using python3 directly (alternative):

python3 ~/.claude/skills/gemini/scripts/gemini.py "your prompt here"

Notes

  • Recommended: Use uv run for automatic Python environment management (requires uv installed)
  • Alternative: Direct execution ./gemini.py (uses system Python via shebang)
  • Python implementation using standard library (zero dependencies)
  • Cross-platform compatible (Windows/macOS/Linux)
  • PEP 723 compliant (inline script metadata)
  • Requires Gemini CLI installed and authenticated
  • Supports all Gemini model variants (configure via GEMINI_MODEL environment variable)
  • Output is streamed directly from Gemini CLI

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Microck/ordinary-claude-skills4062026년 9월 7일 업데이트

adaptyv

무료

Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Microck/ordinary-claude-skills4062026년 9월 7일 업데이트

Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Microck/ordinary-claude-skills4062026년 9월 7일 업데이트

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Microck/ordinary-claude-skills4062026년 9월 7일 업데이트

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Microck/ordinary-claude-skills4062026년 9월 7일 업데이트

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Microck/ordinary-claude-skills4062026년 9월 7일 업데이트

Microck의 스킬 모두 보기

이 스킬의 문제 신고