AgentSkillsCN

gemini-system

主动咨询 Gemini CLI,以开展研究工作、深入理解大型代码库,以及处理多模态数据。Gemini 在以下领域表现出色:超大上下文窗口(100 万 Token)、依托 Google 搜索结果、支持视频/音频/PDF 文件的解析,以及全仓库级别的知识理解。适用于实施前的研究工作、文档分析,以及多模态任务的处理。 明确触发指令:“进行研究”、“展开调查”、“分析视频/音频/PDF 文件”、“深入理解代码库”。

SKILL.md
--- frontmatter
name: gemini-system
description: |
  PROACTIVELY consult Gemini CLI for research, large codebase comprehension,
  and multimodal data processing. Gemini excels at: massive context windows (1M tokens),
  Google Search grounding, video/audio/PDF analysis, and repository-wide understanding.
  Use for pre-implementation research, documentation analysis, and multimodal tasks.
  Explicit triggers: "research", "investigate", "analyze video/audio/PDF", "understand codebase".
metadata:
  short-description: Claude Code ↔ Gemini CLI collaboration (research & multimodal)

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

TaskGeminiCodex
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)

SituationTrigger 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.

code
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:

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

CLI Options Reference

bash
# 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:

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

This allows Claude and Codex to reference the research later.

Task Templates

Pre-Implementation Research

bash
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

bash
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

bash
# 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

WorkflowSteps
New featureGemini research → Codex design review
Library choiceGemini comparison → Codex decision
Bug investigationGemini 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