AgentSkillsCN

gemini-system

主动咨询 Gemini CLI,以开展研究、深入理解大型代码库,并实现多模态数据处理。Gemini 在以下方面表现出色:超大上下文窗口(100 万 Token)、依托 Google 搜索的结果、视频/音频/PDF 内容分析,以及全仓库范围内的深度理解。在实施前的研究、文档分析,以及多模态任务中,这一技能将大放异彩。 明确的触发指令:“开展研究”、“深入调查”、“分析视频/音频/PDF”、“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.

상세규칙: .claude/rules/gemini-delegation.md

Context Management (CRITICAL)

서브에이전트 경유 권장한다. Gemini 출력은 커지기 쉽기 때문에.

상황방법
코드 기반 분석하위 에이전트를 통해(권장)
라이브러리 조사서브 에이전트를 통해 (권장)
멀티모달서브에이전트 경유(권장)
짧은 질문 (1-2 문 답변)직접 호출 확인

Gemini vs Codex

TaskGeminiCodex
리포지토리 전체 이해
라이브러리 조사
멀티모달(PDF/동영상/음성)
최신 문서 검색
디자인 판단
디버그
코드 구현

When to Consult (MUST)

SituationTrigger Examples
Research"검색" "리서치" / "Research" "Investigate"
Library docs"라이브러리" "문서" / "Library" "Docs"
Codebase analysis"코드베이스 전체" / "Entire codebase"
Multimodal"PDF" "동영상" "음성" / "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 Korean

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