Gemini Explore

Gemini Explore Command

Delegate full codebase exploration to Gemini CLI's large context window. Outputs a structured markdown report for Claude to consume.

Prerequisites

• Gemini CLI installed and configured (npm install -g @google/gemini-cli or brew install gemini-cli)
• Valid Google AI API key configured in environment

Usage

/google-ecosystem:gemini-explore [scope] [--output <path>]

Arguments

• $1 (optional): Exploration scope - defaults to "all"
  • architecture - High-level structure, modules, entry points
  • dependencies - Package dependencies, imports, relationships
  • patterns - Design patterns, conventions, code style
  • all - Comprehensive exploration (default)
• --output <path> (optional): Output path for report (default: docs/ai-artifacts/explorations/)
• --pro (optional): Force use of Gemini Pro model for very large codebases (>1M tokens)

Examples

• /google-ecosystem:gemini-explore - Full exploration with default output
• /google-ecosystem:gemini-explore architecture - Focus on architecture
• /google-ecosystem:gemini-explore dependencies --output ./reports/ - Dependencies to custom path
• /google-ecosystem:gemini-explore patterns - Focus on patterns and conventions
• /google-ecosystem:gemini-explore all --pro - Force Gemini Pro for large codebase

When to Use

Use this command when:

• Starting work on an unfamiliar codebase
• Codebase exceeds 50K tokens (Claude's effective working context)
• Need comprehensive architecture understanding before implementation
• Want to map dependencies across a monorepo
• Identifying patterns before large refactoring

Token Threshold Guidance

Execution

Step 1: Estimate Token Count

# Count all source files and estimate tokens
total_chars=$(find . -type f \( -name "*.ts" -o -name "*.tsx" -o -name "*.js" -o -name "*.jsx" -o -name "*.py" -o -name "*.go" -o -name "*.rs" -o -name "*.java" \) -not -path "*/node_modules/*" -not -path "*/.git/*" -not -path "*/dist/*" -not -path "*/build/*" | xargs wc -c 2>/dev/null | tail -1 | awk '{print $1}')
estimated_tokens=$((total_chars / 4))
echo "Estimated tokens: $estimated_tokens"

Step 2: Determine Model

# Check if --pro flag was passed
use_pro=false
for arg in "$@"; do
  if [ "$arg" = "--pro" ]; then
    use_pro=true
    break
  fi
done

# Select model based on --pro flag or token count
if [ "$use_pro" = true ]; then
  model="gemini-2.5-pro"
elif [ "$estimated_tokens" -gt 1000000 ]; then
  model="gemini-2.5-pro"
else
  model="gemini-2.5-flash"
fi

Step 3: Build Scope-Specific Prompt

scope="${1:-all}"

case "$scope" in
  architecture)
    prompt="EXPLORATION MODE: Analyze this codebase architecture.

Provide:
1. **Project Overview**: What does this project do?
2. **Directory Structure**: Key directories and their purpose
3. **Entry Points**: Main entry files and startup flow
4. **Core Modules**: Key modules and their responsibilities
5. **Architecture Pattern**: MVC, Clean Architecture, etc.
6. **Technology Stack**: Languages, frameworks, libraries

Format as structured markdown with headers."
    ;;
  dependencies)
    prompt="EXPLORATION MODE: Map dependencies in this codebase.

Provide:
1. **External Dependencies**: Package managers, versions
2. **Internal Dependencies**: Module import graph
3. **Circular Dependencies**: Any detected cycles
4. **Dependency Health**: Outdated, deprecated, security issues
5. **Shared Libraries**: Common utilities used across modules

Format as structured markdown with tables where appropriate."
    ;;
  patterns)
    prompt="EXPLORATION MODE: Identify patterns in this codebase.

Provide:
1. **Design Patterns**: Factory, Singleton, Observer, etc.
2. **Code Conventions**: Naming, file structure, imports
3. **Error Handling**: How errors are managed
4. **State Management**: How state flows through the app
5. **Testing Patterns**: Test structure, mocking strategies
6. **Documentation Style**: Comments, JSDoc, docstrings

Format as structured markdown with code examples."
    ;;
  *)
    prompt="EXPLORATION MODE: Comprehensive codebase exploration.

Provide a complete analysis covering:

## Architecture
- Project purpose and overview
- Directory structure and organization
- Entry points and startup flow
- Core modules and responsibilities

## Dependencies
- External packages and versions
- Internal module relationships
- Any circular dependencies

## Patterns & Conventions
- Design patterns used
- Coding conventions
- Error handling approach
- Testing structure

## Recommendations for Claude
- Key files to read first
- Important patterns to follow
- Potential areas of concern

Format as structured markdown suitable for another AI agent to consume."
    ;;
esac

Step 4: Collect Source Files

# Collect all source files respecting common ignores
files=$(find . -type f \( -name "*.ts" -o -name "*.tsx" -o -name "*.js" -o -name "*.jsx" -o -name "*.py" -o -name "*.go" -o -name "*.rs" -o -name "*.java" -o -name "*.md" -o -name "*.json" \) -not -path "*/node_modules/*" -not -path "*/.git/*" -not -path "*/dist/*" -not -path "*/build/*" -not -path "*/__pycache__/*" -not -path "*/.next/*" | head -500)

Step 5: Execute Exploration

result=$(echo "$files" | xargs cat 2>/dev/null | gemini "$prompt" -m "$model")

Step 6: Parse Results

response=$(echo "$result" | jq -r '.response // "Exploration failed"')
total_tokens=$(echo "$result" | jq '.stats.models | to_entries | map(.value.tokens.total) | add // 0')
model_used=$(echo "$result" | jq -r '.stats.models | keys[0] // "unknown"')

Step 7: Generate Report

Create structured markdown report:

---
generated-by: gemini-cli
model: {model_used}
timestamp: {ISO8601}
tokens: {total_tokens}
scope: {scope}
---

# Codebase Exploration Report

## Machine-Readable Summary
```json
{
  "type": "exploration",
  "scope": "{scope}",
  "tokens_used": {total_tokens},
  "model": "{model_used}",
  "key_findings": [
    "Finding 1",
    "Finding 2"
  ]
}
```

{response}

---
*Generated by Gemini CLI via `/gemini-explore` command*

Step 8: Save Report

output_dir="${output:-docs/ai-artifacts/explorations}"
mkdir -p "$output_dir"
timestamp=$(date -u +"%Y-%m-%dT%H-%M-%SZ")
output_file="$output_dir/exploration-${scope}-${timestamp}.md"
echo "$report" > "$output_file"
echo "Report saved to: $output_file"

Output Format

Reports are saved with YAML frontmatter for machine parsing:

• generated-by: Always "gemini-cli"
• model: Which Gemini model was used
• timestamp: ISO 8601 format
• tokens: Total tokens consumed
• scope: Exploration scope used

Notes

• Uses Flash model by default for cost efficiency
• Automatically excludes node_modules, .git, dist, build directories
• Reports are saved to docs/ai-artifacts/explorations/ by default (git-tracked)
• Token usage reported for cost awareness
• Output designed for Claude to read and act upon

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