gemini-system
Skill18 starsChanged 10 months agoMITView on GitHub
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".
1 other project uses a version of this.
Adopted by
Most recently taken up by
- gaebalai/claude-code-orchestratorword for word, first seen Jan 31, 2026
Other versions1 project uses a version of this.
Word for word · 1
- gaebalai/claude-code-orchestrator★ 18100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository13 other files it gives its agents.
- .codex/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- checkpointingSkill
- codex-systemSkill
- design-trackerSkill
- initSkill
- planSkill
- research-libSkill
- simplifySkill
- startprojectSkill
- tddSkill
- update-designSkill
- update-lib-docsSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 107
Ask Gemini in English
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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' 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/nullCLI 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/nullWorkflow (Subagent)
- Spawn subagent with Gemini research prompt
- Continue your work → Subagent runs in parallel
- Receive summary → Subagent returns key findings
- Full output saved →
.claude/docs/research/{topic}.md
Language Protocol
- Ask Gemini in English
- Receive response in English
- Synthesize and apply findings
- Report to user in Korean
Output Location
Save Gemini research results to:
.claude/docs/research/{topic}.mdThis 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/nullRepository 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/nullLibrary 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/nullIntegration 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
Does it work?
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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