Codebase Exploration

Multi-angle codebase exploration using 3-5 parallel agents.

Quick Start

/explore authentication

Workflow

Phase 1: Initial Search

# PARALLEL - Quick searches
Grep(pattern="$ARGUMENTS", output_mode="files_with_matches")
Glob(pattern="**/*$ARGUMENTS*")

Phase 2: Memory Check

mcp__memory__search_nodes(query="$ARGUMENTS")
mcp__memory__search_nodes(query="architecture")

Phase 3: Parallel Deep Exploration

Launch 4 specialized explorers in ONE message:

1. Code Structure Explorer – Files, classes, functions
2. Data Flow Explorer – Entry points, processing, storage
3. Backend Architect – Patterns, integration, dependencies
4. Frontend Developer – Components, state, routes

Phase 4: AI System Exploration (If Applicable)

For AI/ML topics, add exploration of:

• LangGraph workflows
• Prompt templates
• RAG pipeline
• Caching strategies

Phase 5: Generate Report

# Exploration Report: $ARGUMENTS

## Quick Answer
[1-2 sentence summary]

## File Locations
| File | Purpose |
|------|---------|
| `path/to/file.py` | [description] |

## Architecture Overview
[ASCII diagram]

## Data Flow
1. [Entry] → 2. [Processing] → 3. [Storage]

## How to Modify
1. [Step 1]
2. [Step 2]

Common Exploration Queries

• “How does authentication work?”
• “Where are API endpoints defined?”
• “Find all usages of EventBroadcaster”
• “What’s the workflow for content analysis?”

Related Skills

• implement: Implement after exploration

Key Project Directories

• backend/app/workflows/ – LangGraph agent workflows
• backend/app/api/ – FastAPI endpoints
• backend/app/services/ – Business logic
• backend/app/db/ – Database models
• frontend/src/features/ – React feature modules