Gemini Research Subagent

Delegates large-context code analysis to Gemini CLI. Use when analyzing codebases, tracing bugs across files, reviewing architecture, or performing security audits. Gemini reads, Claude implements.

$ Installer

git clone https://github.com/DasBluEyedDevil/Multi-Agent-Workflow /tmp/Multi-Agent-Workflow && cp -r /tmp/Multi-Agent-Workflow/.claude/skills/gemini-research ~/.claude/skills/Multi-Agent-Workflow

// tip: Run this command in your terminal to install the skill


name: Gemini Research Subagent description: Delegates large-context code analysis to Gemini CLI. Use when analyzing codebases, tracing bugs across files, reviewing architecture, or performing security audits. Gemini reads, Claude implements. dependencies:

  • gemini-cli

Gemini Research Subagent

You have access to Gemini CLI as a large-context research assistant. Use Gemini for reading large codebases, use yourself for implementation.

When to Invoke Gemini

ALWAYS use Gemini BEFORE:

  • Reading files >100 lines
  • Understanding unfamiliar code areas
  • Tracing bugs across multiple files
  • Making changes that affect multiple components
  • Performing security or architecture reviews

DO NOT use Gemini for:

  • Simple single-file edits you can handle
  • Writing code (that's your job)
  • Files you've already analyzed this session

How to Invoke

./skills/gemini.agent.wrapper.sh -d "@src/" "Your research question"

Available Roles (loaded from .gemini/roles/)

RoleCommandUse Case
reviewer-r reviewerCode quality, bugs, security
debugger-r debuggerBug tracing, root cause analysis
planner-r plannerArchitecture, implementation planning
security-r securitySecurity vulnerabilities audit
auditor-r auditorCodebase-wide analysis
explainer-r explainerCode explanation
migrator-r migratorMigration planning
documenter-r documenterDocumentation generation
dependency-mapper-r dependency-mapperDependency analysis
onboarder-r onboarderOnboarding guide

Custom Roles

Add custom roles in .gemini/roles/<name>.md. Examples:

RoleFocus
kotlin-expertKotlin/Android, coroutines
typescript-expertTypeScript type safety
python-expertPython async, type hints
api-designerREST API design
database-expertQuery optimization

Templates

# Implementation-ready output
./skills/gemini.agent.wrapper.sh -t implement-ready -d "@src/" "Add user profiles"

# Fix-ready output for bugs
./skills/gemini.agent.wrapper.sh -t fix-ready "Login fails with 401"

# Post-implementation verification
./skills/gemini.agent.wrapper.sh -t verify --diff "Added password reset"

Response Format

Gemini returns structured output you can parse:

## SUMMARY
[1-2 sentence overview]

## FILES
[file:line references]

## ANALYSIS
[detailed findings]

## RECOMMENDATIONS
[actionable items]

Workflow Pattern

  1. Research: Invoke Gemini to understand context
  2. Implement: You write code based on Gemini's analysis
  3. Verify: Invoke Gemini to verify your changes

Example Usage

# Pre-implementation research
./skills/gemini.agent.wrapper.sh -r planner -d "@src/" "How should I add caching?"

# Post-implementation verification
./skills/gemini.agent.wrapper.sh -t verify --diff "Added caching layer"