zoom-out

Generates a high-level map of relevant modules and callers for unfamiliar code areas.

Updated May 12, 2026

Search Tags:#architecture #code exploration #abstraction #codebase understanding #callers #module map

Ready to run

npx skills add https://github.com/eduardtomasek/codex-dev-stack --skill zoom-out-eduardtomasek

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: zoom-out
Source: https://github.com/eduardtomasek/codex-dev-stack/tree/main/skills/.agents/zoom-out
Command: npx skills add https://github.com/eduardtomasek/codex-dev-stack --skill zoom-out-eduardtomasek

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? When you encounter an unfamiliar section of a codebase, it is hard to understand how it fits into the bigger picture. This Skill prompts the agent to step back from line-level detail and explain the surrounding architecture instead. ## Core Features & Use Cases - Abstraction Shift: Instructs the agent to move up one layer of abstraction rather than explaining code line by line. - Module and Caller Mapping: Produces a map of all relevant modules and their callers so you can see relationships at a glance. - Domain Vocabulary: Frames the explanation using the project's own domain glossary terms, keeping the overview consistent with team language. - Use Case: You open a legacy service you have never touched. Instead of reading every function, you invoke this Skill to get a structural overview of which modules call it and which it depends on. ## Quick Start Ask the agent to zoom out and map the relevant modules and callers for the code section you are currently viewing.

Frequently Asked Questions about zoom-out

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

FAQPage Schema

How do I understand an unfamiliar part of a codebase quickly?▼

Ask the agent to zoom out from the code and map the relevant modules and callers instead of reading line by line. This gives a structural overview of how the section connects to the rest of the system before you dive into details.

How to get a high-level overview of code architecture with an AI agent?▼

Invoke a zoom-out style prompt that instructs the agent to go up a layer of abstraction and describe modules and their callers. Framing the request around relationships rather than individual lines produces an architectural map.

When should I use a zoom-out prompt instead of a code explanation?▼

Use it when you are unfamiliar with an area of code and need context about how it fits into the bigger picture. Line-by-line explanation is better once you already understand the surrounding structure.

What are the limitations of asking an agent for a module map?▼

The map reflects only the code the agent can access and analyze in the current context. Very large or dynamically wired systems may produce incomplete caller lists, so treat the output as a starting orientation rather than exhaustive documentation.