How can I limit the complexity of the trace graph?

You can use the --depth flag followed by a number (e.g., --depth 2) to limit how many levels of recursion the skill analyzes.

Can I use the graph data for my own documentation?

Yes, by using the --json output flag, you can pipe the data into scripts to generate Mermaid diagrams, Graphviz files, or other visual documentation.

Does this skill detect circular dependencies?

Yes, GrepAI Trace Graph automatically identifies and labels cycles in the execution flow, which is helpful for identifying architectural issues.

What is a call graph in GrepAI?

A call graph is a recursive representation of function relationships, showing which functions call which others across your entire codebase.

GrepAI Trace Graph

Name: GrepAI Trace Graph
Author: yoanbernabeu

byyoanbernabeu

•

Analíticas y Monitorización

Builds comprehensive, recursive call graphs to map function dependencies and analyze complex code execution flows.

GrepAI Trace Graph is a specialized Claude Code skill designed for deep architectural analysis and impact assessment within large codebases. By generating recursive dependency trees, it enables developers to visualize function interactions, identify circular dependencies, and plan refactoring efforts with precision. The skill supports customizable recursion depths, multiple extraction modes (Fast vs. Precise), and various output formats like JSON and token-efficient TOON, making it an essential tool for onboarding, debugging, and documenting system architecture.

Características Principales

01Precise AST-based analysis using tree-sitter for high accuracy

02Automatic detection and marking of circular dependencies

039 GitHub stars

04Easy export to Mermaid and Graphviz for architectural documentation

05Recursive call graph generation with customizable depth control

06Multiple output formats including JSON, TOON, and human-readable text

Casos de Uso

01Visualizing complex legacy codebases to identify tightly coupled modules or code smells

02Mapping the entire application startup flow to understand initialization sequences

03Performing impact analysis to see what functions break when a core utility is modified

Características Principales

01Precise AST-based analysis using tree-sitter for high accuracy

02Automatic detection and marking of circular dependencies

039 GitHub stars

04Easy export to Mermaid and Graphviz for architectural documentation

05Recursive call graph generation with customizable depth control

06Multiple output formats including JSON, TOON, and human-readable text

Casos de Uso

01Visualizing complex legacy codebases to identify tightly coupled modules or code smells

02Mapping the entire application startup flow to understand initialization sequences

03Performing impact analysis to see what functions break when a core utility is modified