repo-map-zoom-out

Map unfamiliar code areas by identifying entry points, callers, data flow, and ownership boundaries.

4|1|Updated May 19, 2026
One-click install
npx skills add https://github.com/stark-ai-de/agent-skills --skill repo-map-zoom-out
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: repo-map-zoom-out
Source: https://github.com/stark-ai-de/agent-skills/tree/main/incubator/skills/engineering-workflows/repo-map-zoom-out
Command: npx skills add https://github.com/stark-ai-de/agent-skills --skill repo-map-zoom-out

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users understand unfamiliar code areas by identifying entry points, ownership boundaries, callers, data flow, ADRs, validation, and likely edit surfaces.

Core Features & Use Cases

  • Identify Entry Points: Locate the starting points of code areas, APIs, routes, commands, jobs, or event handlers.
  • Trace Callers and Callees: Discover which code depends on or is dependent upon other parts of the system.
  • Data Flow Analysis: Understand how data moves through the codebase.
  • Ownership Boundaries: Determine who is responsible for which parts of the code.
  • Validation and Docs: Locate tests, fixtures, validation commands, and relevant ADRs.
  • Use Case: When preparing for a risky change or when a user wants to understand a subsystem or architecture boundary.

Quick Start

Use the repo-map-zoom-out skill to understand the code area for the 'user-authentication' subsystem.

Frequently Asked Questions about repo-map-zoom-out

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

FAQPage Schema
How do I map unfamiliar code areas before making risky changes?

To map unfamiliar code areas, identify entry points, trace callers, analyze data flow, and locate ownership boundaries. This reveals likely edit surfaces and validation paths, preparing you for risky changes by clarifying subsystem architecture and dependencies.

What is the best way to trace callers and data flow in a subsystem?

Tracing callers and data flow involves analyzing how data moves through the codebase and discovering dependent code. This process identifies entry points like APIs, routes, commands, and event handlers, revealing the full dependency graph of a subsystem.

When do I need ADR analysis for understanding code architecture?

ADR analysis is needed when preparing for risky changes or understanding an architecture boundary. Locating relevant Architecture Decision Records alongside tests and fixtures provides context on validation rules and design decisions governing the target code area.

Can I use repo mapping to identify entry points and validation commands?

Yes, repo mapping identifies entry points such as APIs, routes, jobs, and event handlers while simultaneously locating validation commands and tests. This provides a comprehensive overview of the target code area's operational surface and verification methods.

Does code analysis work for identifying likely edit surfaces in a codebase?

Code analysis works for identifying likely edit surfaces by inspecting documentation and tracing data flow alongside callers. It maps out the specific areas requiring modification, ensuring you understand the full impact of changes on the subsystem.