gemini-system
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".
npx skills add majiayu000/claude-skill-registry --skill gemini-system --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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. | 상황 | 방법 | |------|------| |코드 기반 분석 | 하위 에이전트를 통해(권장) | | 라이브러리 조사 | 서브 에이전트를 통해 (권장) | | 멀티모달 | 서브에이전트 경유(권장) | | 짧은 질문 (1-2 문 답변) | 직접 호출 확인 | ## Gemini vs Codex | Task | Gemini | Codex | |------|--------|-------| |**리포지토리 전체 이해**|✓| | |**라이브러리 조사**|✓| | |**멀티모달(PDF/동영상/음성)**|✓| | |**최신 문서 검색**|✓| | |**디자인 판단**| |✓| |**디버그** | |✓| |**코드 구현** | |✓| ## When to Consult (MUST) | Situation | Trigger 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'
- Context Management (CRITICAL)
- Gemini vs Codex
- When to Consult (MUST)
- When NOT to Consult
- How to Consult
- Recommended: Subagent Pattern
- Direct Call (Short Questions Only)
- CLI Options Reference
- Workflow (Subagent)
- Language Protocol
- Output Location
- Task Templates
- Pre-Implementation Research
- Repository Analysis
gemini -p "Brief question" 2>/dev/null
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
gemini -p "Research best practices for {feature} in Python 2025.
gemini -p "Analyze this repository:
VideoWhat does the gemini-system skill do?
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".
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill gemini-system --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.