gemini-system

📁 del-taiseiozaki/claude-code-orchestra 📅 9 days ago
1
总安装量
1
周安装量
#50043
全站排名
安装命令
npx skills add https://github.com/del-taiseiozaki/claude-code-orchestra --skill gemini-system

Agent 安装分布

claude-code 1

Skill 文档

Gemini System — Research & Multimodal Specialist

Gemini CLI (gemini-3-pro-preview) is your research specialist with 1M token context.

詳細ルール: .claude/rules/gemini-delegation.md

Context Management (CRITICAL)

サブエージェント経由を推奨。 Gemini出力は大きくなりがちなため。

状況 方法
コードベース分析 サブエージェント経由(推奨)
ライブラリ調査 サブエージェント経由(推奨)
マルチモーダル サブエージェント経由(推奨)
短い質問 (1-2文回答) 直接呼び出しOK

Gemini vs Codex

Task Gemini Codex
リポジトリ全体理解 ✓
ライブラリ調査 ✓
マルチモーダル (PDF/動画/音声) ✓
最新ドキュメント検索 ✓
設計判断 ✓
デバッグ ✓
コード実装 ✓

When to Consult (MUST)

Situation Trigger Examples
Research 「調べて」「リサーチ」 / “Research” “Investigate”
Library docs 「ライブラリ」「ドキュメント」 / “Library” “Docs”
Codebase analysis 「コードベース全体」 / “Entire codebase”
Multimodal 「PDF」「動画」「音声」 / “PDF” “Video” “Audio”

When NOT to Consult

  • Design decisions (use Codex)
  • Debugging (use Codex)
  • Code implementation (use Codex)
  • Simple file operations (do directly)

How to Consult

Recommended: Subagent Pattern

Use Task tool with subagent_type='general-purpose' to preserve main context.

Task tool parameters:
- subagent_type: "general-purpose"
- run_in_background: true (optional, for parallel work)
- prompt: |
    Research: {topic}

    gemini -p "{research question}" 2>/dev/null

    Save full output to: .claude/docs/research/{topic}.md
    Return CONCISE summary (5-7 bullet points).

Direct Call (Short Questions Only)

For quick questions expecting brief answers:

gemini -p "Brief question" 2>/dev/null

CLI Options Reference

# Codebase analysis
gemini -p "{question}" --include-directories . 2>/dev/null

# Multimodal (PDF/video/audio)
gemini -p "{prompt}" < /path/to/file.pdf 2>/dev/null

# JSON output
gemini -p "{question}" --output-format json 2>/dev/null

Workflow (Subagent)

  1. Spawn subagent with Gemini research prompt
  2. Continue your work → Subagent runs in parallel
  3. Receive summary → Subagent returns key findings
  4. Full output saved → .claude/docs/research/{topic}.md

Language Protocol

  1. Ask Gemini in English
  2. Receive response in English
  3. Synthesize and apply findings
  4. Report to user in Japanese

Output Location

Save Gemini research results to:

.claude/docs/research/{topic}.md

This allows Claude and Codex to reference the research later.

Task Templates

Pre-Implementation Research

gemini -p "Research best practices for {feature} in Python 2025.
Include:
- Common patterns and anti-patterns
- Library recommendations (with comparison)
- Performance considerations
- Security concerns
- Code examples" 2>/dev/null

Repository Analysis

gemini -p "Analyze this repository:
1. Architecture overview
2. Key modules and responsibilities
3. Data flow between components
4. Entry points and extension points
5. Existing patterns to follow" --include-directories . 2>/dev/null

Library Research

See: references/lib-research-task.md

Multimodal Analysis

# Video
gemini -p "Analyze video: main concepts, key points, timestamps" < tutorial.mp4 2>/dev/null

# PDF
gemini -p "Extract: API specs, examples, constraints" < api-docs.pdf 2>/dev/null

# Audio
gemini -p "Transcribe and summarize: decisions, action items" < meeting.mp3 2>/dev/null

Integration with Codex

Workflow Steps
New feature Gemini research → Codex design review
Library choice Gemini comparison → Codex decision
Bug investigation Gemini codebase search → Codex debug

Why Gemini?

  • 1M token context: Entire repositories at once
  • Google Search: Latest information and docs
  • Multimodal: Native PDF/video/audio processing
  • Fast exploration: Quick overview before deep work
  • Shared context: Results saved for Claude/Codex