Grepai Trace Graph

GrepAI Trace Graph

This skill covers using grepai trace graph to build complete call graphs showing all dependencies recursively.

When to Use This Skill

• Mapping complete function dependencies
• Understanding complex code flows
• Impact analysis for major refactoring
• Visualizing application architecture

What is Trace Graph?

grepai trace graph builds a recursive dependency tree:

main
├── initialize
│   ├── loadConfig
│   │   └── parseYAML
│   └── connectDB
│       ├── createPool
│       └── ping
├── startServer
│   ├── registerRoutes
│   │   ├── authMiddleware
│   │   └── loggingMiddleware
│   └── listen
└── gracefulShutdown
    └── closeDB

Basic Usage

grepai trace graph "FunctionName"

Example

grepai trace graph "main"

Output:

🔍 Call Graph for "main"

main
├── initialize
│   ├── loadConfig
│   └── connectDB
├── startServer
│   ├── registerRoutes
│   └── listen
└── gracefulShutdown
    └── closeDB

Nodes: 9
Max depth: 3

Depth Control

Limit recursion depth with --depth:

# Default depth (2 levels)
grepai trace graph "main"

# Deeper analysis (3 levels)
grepai trace graph "main" --depth 3