morph-search

Locate code patterns across repositories using WarpGrep-based AI search.

1|Updated Jan 2, 2026
One-click install
npx skills add https://github.com/tfunk1030/vibe --skill morph-search-tfunk1030
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: morph-search
Source: https://github.com/tfunk1030/vibe/tree/main/.claude/skills/morph-search
Command: npx skills add https://github.com/tfunk1030/vibe --skill morph-search-tfunk1030

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Rapidly locate code elements across large codebases using AI-accelerated search.

Core Features & Use Cases

  • AI-accelerated search across massive repositories.
  • Code pattern and function lookup using WarpGrep.
  • Use Case: Quickly find where a function is implemented and where it's called.

Quick Start

Run WarpGrep-based searches across your repository to locate the desired pattern.

Frequently Asked Questions about morph-search

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

FAQPage Schema
How do I search for function definitions and usage patterns across a large codebase?

You can locate function definitions and usage patterns across a large codebase using AI-accelerated WarpGrep search. It applies regex queries to rapidly find specific code elements and returns deterministic results across massive repositories.

What is the best way to find where a function is implemented and called in massive repositories?

The best way to find function implementations and calls in massive repositories is using AI-accelerated codebase search. It leverages WarpGrep to rapidly locate code patterns, references, and implementation details with deterministic results.

Can I use regex queries to locate code patterns with WarpGrep?

Yes, you can use regex queries to locate code patterns with WarpGrep. The morph-search script supports regex integration, allowing you to find specific function references and usage patterns across your repository with deterministic results.

Does AI-powered code search work for finding references in large repositories?

Yes, AI-powered code search works for finding references in large repositories. It uses WarpGrep to accelerate search tasks across massive codebases, rapidly locating function definitions and usage patterns with deterministic output.

What are the limitations of using AI-accelerated search for codebase pattern lookup?

The metadata does not specify explicit limitations for using AI-accelerated codebase pattern lookup. It is designed to provide fast, deterministic results using WarpGrep and regex queries across large repositories.