How do I initialize Serena in a new project?

You can start by running the activate_project tool followed by the onboarding tool to create the .serena directory and index your symbols.

Is Serena compatible with Git worktrees?

Yes, you can simply copy the .serena directory from your main project folder to your worktree to maintain symbol indexing and project knowledge.

What is the main benefit of using Serena over standard file reading?

Serena operates on a symbol level (functions, classes), which drastically reduces token usage and provides Claude with laser-focused context, preventing errors in large files.

Can Serena help with complex refactoring tasks?

Yes, Serena includes tools to find referencing symbols and dependencies, allowing you to understand the impact of a change before modifying the code.

What are Serena memories?

Memories are persistent files stored in the .serena directory that allow Claude to save and recall architectural decisions, project rules, and design patterns.

Serena Code Expert

Name: Serena Code Expert
Author: sumik5

bysumik5

生産性とワークフロー

Optimizes code analysis and editing by performing symbol-level operations to minimize token usage and improve precision.

概要

Serena Code Expert is a specialized skill for Claude Code designed to streamline codebase navigation and modification through symbol-based interaction. Instead of reading entire files, Serena allows Claude to identify, analyze, and edit specific code symbols such as classes and methods, significantly reducing token consumption and improving response accuracy. It features automated project onboarding, dependency analysis, and a persistent memory system for storing architectural decisions, making it an essential tool for developers working on large-scale projects who need efficient, context-aware code manipulation.

主な機能

Advanced dependency tracking and cross-reference searching
Automated project initialization and symbol indexing
0 GitHub stars
Token-efficient codebase analysis without full file reads
Persistent project knowledge management via memory files
Symbol-level code manipulation (insert, replace, and find)

ユースケース

Mapping complex code dependencies before performing major architectural changes
Optimizing Claude's performance in high-token environments by isolating code blocks
Refactoring large legacy files by targeting specific functions or classes

概要

主な機能

Advanced dependency tracking and cross-reference searching
Automated project initialization and symbol indexing
0 GitHub stars
Token-efficient codebase analysis without full file reads
Persistent project knowledge management via memory files
Symbol-level code manipulation (insert, replace, and find)

ユースケース

Mapping complex code dependencies before performing major architectural changes
Optimizing Claude's performance in high-token environments by isolating code blocks
Refactoring large legacy files by targeting specific functions or classes