deepsearch

Locates and maps code usage and dependencies across large repositories.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/KYRIE66nb/codex-omx-public-config --skill deepsearch-kyrie66nb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deepsearch
Source: https://github.com/KYRIE66nb/codex-omx-public-config/tree/main/home/.agents/skills/deepsearch
Command: npx skills add https://github.com/KYRIE66nb/codex-omx-public-config --skill deepsearch-kyrie66nb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables thorough, targeted search across a codebase to locate usages, references, and dependencies for a given query or concept.

Core Features & Use Cases

  • Broad search: locate exact matches and related terms across multiple files and directories.
  • Deep dive: inspect matches, read imports/exports, and trace dependencies.
  • Synthesize insights: map where a concept is used, connect components, and identify main implementations.
  • Use case: quickly find all usages of a function across a large repository to assess impact or prepare a refactor.

Quick Start

Provide a query and the system will search the codebase for matches and return files with snippets.

Frequently Asked Questions about deepsearch

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

FAQPage Schema
How do I find all usages of a function across a large repository?

Codebase search maps dependencies and usages by scanning files, following import/export graphs, and returning snippets with primary locations. It works by locating exact matches and related terms across multiple directories to synthesize a connected map of where concepts are used.

Can I trace dependencies and import graphs in a multi-language monorepo?

Yes, codebase search works with multi-language monorepos by scanning files and following import/export graphs to map dependencies. It traces relationships across different languages to synthesize where concepts and patterns are implemented.

What is the best way to map code patterns and assess impact before a refactor?

Codebase search maps code patterns and assesses refactoring impact by locating exact matches and related terms across files, inspecting implementations, and synthesizing primary locations with related files. This provides a comprehensive view of usage relationships before modifying code.

Does this codebase search require any specific dependencies or environment setup?

Codebase search requires no external dependencies or environment setup to operate. You provide a search query and the system scans the project directory, returning files with snippets showing where concepts, functions, or patterns are implemented.

How do I start searching for specific code implementations in my project?

Start searching for code implementations by providing a query that the system matches against your project files. It returns files with snippets, maps primary locations, and connects related files to show where concepts are used.