Claude-skill-registry gemini-system

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/gemini-system" ~/.claude/skills/majiayu000-claude-skill-registry-gemini-system && rm -rf "$T"
manifest: skills/data/gemini-system/SKILL.md
source content

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.

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 Korean

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

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