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jpcaparas
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zoom-out

Map codebase modules, callers, callees, and execution paths.

37|2|Updated Mar 25, 2026
Search Tags:#architecture#dependency analysis#call graph#codebase understanding#code mapping
One-click install
npx skills add https://github.com/jpcaparas/skills --skill zoom-out-jpcaparas
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: zoom-out
Source: https://github.com/jpcaparas/skills/tree/main/skills/zoom-out
Command: npx skills add https://github.com/jpcaparas/skills --skill zoom-out-jpcaparas

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, and includes scripts (resource) and references (resource) and assets (resource) and agents (resource) components.

What problem does it solve?

This Skill helps users understand complex codebases by mapping out the relationships between modules, callers, callees, and dependencies, providing a high-level view before diving into details.

Core Features & Use Cases

  • Code Orientation: Before editing or explaining code, get a high-level view of modules, callers, callees, entrypoints, boundaries, dependencies, and data flow.
  • Caller and Callee Tracing: Trace the execution path of a symbol, file, route, job, feature, or subsystem.
  • Dynamic Registration and Framework Wiring: Handle dynamic systems with caveats around config, decorators, dependency injection, generated code, queues, conventions, and framework registration.
  • Use Case: Before diving into a complex feature in a large codebase, use this Skill to understand the module boundaries, major components, and key interactions.

Quick Start

Use the zoom-out skill to map the relevant modules and callers around the 'SessionService' in the repository.

Frequently Asked Questions about zoom-out

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I map unfamiliar codebase structure and execution paths?▼

Mapping unfamiliar codebase structure involves generating a high-level view of modules, callers, callees, entrypoints, and boundaries. This provides a structural map before diving into complex feature implementation details.

Can I trace execution paths for symbols or routes in a complex codebase?▼

You can trace execution paths for a specific symbol, file, route, job, feature, or subsystem. This maps the caller and callee relationships to clarify module boundaries and key interactions.

Do I need Python to analyze call graphs and dependencies?▼

Python is required to analyze call graphs and dependencies. Optionally, rg and git are used for discovery to map out the codebase structure and execution paths effectively.

Does code mapping work with dynamic registration and framework wiring?▼

Code mapping handles dynamic registration and framework wiring with caveats. It processes decorators, dependency injection, generated code, queues, and conventions, acknowledging limitations in framework registration.

What are the limitations of dependency analysis for generated code?▼

Limitations of dependency analysis include caveats around config, decorators, dependency injection, generated code, queues, conventions, and framework registration, which may affect mapping accuracy in dynamic systems.

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