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gemini-codebase-analysis

@JTCorrin/pocket-claude
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Analyze large codebases using Gemini CLI's massive context window. Use when analyzing entire codebases, comparing multiple large files, understanding project-wide patterns, verifying feature implementations, or when context limits are exceeded.

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SKILL.md

name gemini-codebase-analysis
description Analyze large codebases using Gemini CLI's massive context window. Use when analyzing entire codebases, comparing multiple large files, understanding project-wide patterns, verifying feature implementations, or when context limits are exceeded.
allowed-tools Bash

Gemini CLI for Large Codebase Analysis

Use the Gemini CLI with its massive context window to analyze large codebases or multiple files that might exceed context limits.

Basic Syntax

gemini -p "@<path> <your question or prompt>"

The @ syntax includes files and directories in your prompt. Paths are relative to your current working directory.

File and Directory Inclusion

Single file

gemini -p "@src/main.py Explain this file's purpose and structure"

Multiple files

gemini -p "@package.json @src/index.js Analyze the dependencies used in the code"

Entire directory

gemini -p "@src/ Summarize the architecture of this codebase"

Multiple directories

gemini -p "@src/ @tests/ Analyze test coverage for the source code"

Current directory and subdirectories

gemini -p "@./ Give me an overview of this entire project"

Using --all_files flag

gemini --all_files -p "Analyze the project structure and dependencies"

Implementation Verification Examples

Check if a feature is implemented

gemini -p "@src/ @lib/ Has dark mode been implemented in this codebase? Show me the relevant files and functions"

Verify authentication implementation

gemini -p "@src/ @middleware/ Is JWT authentication implemented? List all auth-related endpoints and middleware"

Check for specific patterns

gemini -p "@src/ Are there any React hooks that handle WebSocket connections? List them with file paths"

Verify error handling

gemini -p "@src/ @api/ Is proper error handling implemented for all API endpoints? Show examples of try-catch blocks"

Check for rate limiting

gemini -p "@backend/ @middleware/ Is rate limiting implemented for the API? Show the implementation details"

Verify caching strategy

gemini -p "@src/ @lib/ @services/ Is Redis caching implemented? List all cache-related functions and their usage"

Check for security measures

gemini -p "@src/ @api/ Are SQL injection protections implemented? Show how user inputs are sanitized"

Verify test coverage

gemini -p "@src/payment/ @tests/ Is the payment processing module fully tested? List all test cases"

When to Use This Skill

  • Analyzing entire codebases or large directories
  • Comparing multiple large files
  • Understanding project-wide patterns or architecture
  • Current context window is insufficient for the task
  • Working with files totaling more than 100KB
  • Verifying if specific features, patterns, or security measures are implemented
  • Checking for the presence of certain coding patterns across the entire codebase

Important Notes

  • Paths in @ syntax are relative to your current working directory when invoking gemini
  • The CLI will include file contents directly in the context
  • No need for --yolo flag for read-only analysis
  • Gemini's context window can handle entire codebases that would overflow Claude's context
  • Be specific about what you're looking for to get accurate results