How does the 'Synthesis' phase work?

During synthesis, the skill compiles individual file matches into a high-level map that identifies conventions, key insights, and recurring usage patterns.

Does this skill provide exact file locations?

Yes, the skill is instructed to cite specific file paths and line numbers for all primary locations and usage patterns it discovers.

Can Deep Search help me understand a new codebase?

Yes, it is specifically designed to follow the trail of imports and exports to identify the main implementations of core concepts and their related dependencies.

Is it useful for refactoring tasks?

Deep Search is ideal for refactoring because it maps out every consumer of a specific piece of logic, ensuring you understand the full impact of any changes.

How does Deep Search differ from a standard grep search?

While grep finds text matches, Deep Search analyzes imports, exports, and implementation context to map how code is actually connected and used across the project.

Deep Code Search

Name: Deep Code Search
Author: Yeachan-Heo

byYeachan-Heo

•

2,142

Developer Tools

Conducts exhaustive codebase investigations to uncover patterns, implementation details, and structural dependencies.

About

Deep Code Search is a specialized Claude Code skill designed for thorough codebase exploration and architectural mapping. It goes beyond simple keyword matching by employing a multi-stage strategy that includes broad pattern searching, deep-dive file analysis, and dependency tracking. By synthesizing findings into a comprehensive map of implementations and usage patterns, it helps developers understand complex legacy systems, identify refactoring opportunities, and trace the impact of proposed changes across the entire project structure.

Key Features

Comprehensive mapping of implementation versus consumer usage
Multi-stage search strategy including Broad Search, Deep Dive, and Synthesis
2,142 GitHub stars
Context-aware identification of patterns, conventions, and implementation 'gotchas'
Automated dependency tracking via import/export analysis
Detailed output reports with specific file paths and line numbers

Use Cases

Identifying inconsistent implementation patterns or duplicate logic across different modules
Performing impact analysis to see how a function change affects the entire codebase
Onboarding to a new project by mapping out how core services and hooks are utilized

About

Key Features

Comprehensive mapping of implementation versus consumer usage
Multi-stage search strategy including Broad Search, Deep Dive, and Synthesis
2,142 GitHub stars
Context-aware identification of patterns, conventions, and implementation 'gotchas'
Automated dependency tracking via import/export analysis
Detailed output reports with specific file paths and line numbers

Use Cases

Identifying inconsistent implementation patterns or duplicate logic across different modules
Performing impact analysis to see how a function change affects the entire codebase
Onboarding to a new project by mapping out how core services and hooks are utilized