serena-analyze

Analyze codebase architecture and symbol relationships using Serena MCP semantic tools.

3|1|Updated Apr 2, 2015
One-click install
npx skills add https://github.com/ktrysmt/dotfiles --skill serena-analyze
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: serena-analyze
Source: https://github.com/ktrysmt/dotfiles/tree/main/.claude/skills/serena-analyze
Command: npx skills add https://github.com/ktrysmt/dotfiles --skill serena-analyze

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Serena Analyze empowers teams to understand codebases quickly by outlining architecture, mapping symbol relationships, and identifying dependencies without reading every file.

Core Features & Use Cases

  • Structure Analysis: overview of the directory layout, modules, and public entry points using Serena MCP tools.
  • Dependency Mapping: reveal how symbols and components depend on and reference each other.
  • Onboarding & Architecture Insights: accelerate understanding for new codebases, aiding onboarding and design reviews.

Quick Start

Analyze this repository to map architecture, symbols, and dependencies.

Frequently Asked Questions about serena-analyze

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

FAQPage Schema
How do I analyze a codebase to understand its architecture and dependencies?

To analyze codebase architecture and dependencies, you can use semantic tools to query symbols and map top-level organization, revealing how modules and components reference each other without reading every file.

What is the best way to map symbol relationships and structure for onboarding to a new codebase?

Mapping symbol relationships for codebase onboarding involves querying directory layouts, modules, and public entry points to produce concise summaries, accelerating understanding of how components fit together for design reviews.

Can I overview directory layout and public entry points without manually reading source files?

Yes, you can overview directory layouts and public entry points by leveraging semantic code navigation primitives, which extract structure and symbol references automatically to reveal top-level organization and dependencies.

Does semantic code navigation work for identifying cross-module dependencies in large repositories?

Semantic code navigation works for large repositories by querying how symbols and components depend on and reference each other, mapping dependencies across modules to provide actionable architecture overviews.

When do I need semantic structure analysis instead of manually tracing code references?

You need semantic structure analysis when onboarding to a new codebase or performing design reviews, as it automatically maps dependencies and symbols to produce concise summaries, saving the effort of reading every file.

What are the limitations of using semantic tools for codebase understanding?

Semantic tools for codebase understanding provide concise summaries of architecture and dependencies, but limitations include relying on accurate symbol queries and structure analysis primitives rather than deep runtime behavior or execution tracing.