omk-repo-explorer

Map codebases by identifying entry points, configs, and relevant files.

130|14|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/dmae97/oh-my-kimi --skill omk-repo-explorer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: omk-repo-explorer
Source: https://github.com/dmae97/oh-my-kimi/tree/main/templates/skills/agents/omk-repo-explorer
Command: npx skills add https://github.com/dmae97/oh-my-kimi --skill omk-repo-explorer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents wasting time on blind, whole-repository reading by helping you build an evidence-backed understanding of a codebase quickly.

Core Features & Use Cases

  • Project-type identification: Establishes what kind of system you’re dealing with before diving in.
  • Shallow-to-deep exploration workflow: Creates a shallow map (entry points, configs, tests) and then expands only where needed.
  • Evidence-backed mapping: Prioritizes the smallest relevant files first and grows through imports, call sites, routes, schemas, and tests to reduce guesswork.
  • Use Case: When you’re preparing a feature change, debugging an issue, or refactoring safely, you can generate a focused repo map that points you to likely entry points, data flow, patterns, and the most relevant tests and files.

Quick Start

Use the omk-repo-explorer skill to produce a relevant-files map, entry points, data flow, existing patterns, test locations, unclear areas, and recommended next files for the current repository.

Frequently Asked Questions about omk-repo-explorer

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

FAQPage Schema
How do I map a codebase without reading the entire repository?

To map a codebase without reading it all, generate a shallow-to-deep evidence-backed map by identifying the project type, locating entry points and test directories, and prioritizing the smallest relevant files to build understanding quickly.

What is the best way to find entry points and data flow for repository exploration?

The best way to find entry points and data flow during repository exploration is by expanding through dependency surfaces like imports, call sites, routes, and schemas to produce a structured discovery summary that reduces guesswork.

Can I use repository exploration for debugging and refactoring safely?

Yes, you can use repository exploration for debugging and refactoring safely by generating a focused repo map that highlights likely entry points, existing patterns, and relevant test locations before making changes.

How do I locate relevant tests when navigating an unfamiliar codebase?

To locate relevant tests in an unfamiliar codebase, identify the project type first and locate config and test directories, then prioritize the smallest relevant files to expand through dependency surfaces and pinpoint test locations.

Does codebase mapping work for large repositories with complex architecture?

Codebase mapping works for typical large repositories by creating a shallow map first and expanding only where needed, which prevents wasting time on blind whole-repository reading and handles complex architecture discovery efficiently.

When should I not use shallow-to-deep codebase exploration?

You should avoid shallow-to-deep codebase exploration when you need to understand every single file comprehensively, as this approach intentionally prioritizes the smallest relevant files and leaves unclear areas for targeted later review.