Which programming languages does this skill support?

It supports any language with a configured LSP, including Python, TypeScript, JavaScript, Rust, Go, and Java.

Can I use this to find where a specific function is called?

Yes, the find_referencing_symbols tool allows you to see all locations where a symbol is utilized across the entire project.

How is Serena different from grep or text search?

Unlike text search, Serena understands code structure, distinguishing between a class definition and a mention of that class in a comment or string.

Does it provide the actual source code of the symbols?

Yes, by using the include_body parameter, you can retrieve the source code for specific definitions to understand their implementation.

Is it efficient for large codebases?

Absolutely. It uses scoped searches and depth-controlled exploration to provide fast results without consuming excessive context.

Serena Symbol Analysis

Name: Serena Symbol Analysis
Author: ScottRBK

byScottRBK

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Developer Tools

Navigates and analyzes complex codebases using high-precision LSP-powered symbol extraction and relationship discovery.

About

Serena Symbol Analysis provides Claude with deep code intelligence, allowing it to move beyond imprecise text searches to understand the actual structure of a repository. By leveraging Language Server Protocol (LSP) capabilities, it enables users to instantly find class definitions, trace method references, and visualize call hierarchies across multiple files. This skill is essential for developers working on large, unfamiliar codebases where understanding the architectural relationship between components is critical for making safe and effective changes.

Key Features

9 GitHub stars
LSP-powered symbol extraction for accurate class, function, and variable identification.
Multi-language support including Python, TypeScript, Rust, Go, and Java.
Cross-file reference tracing to understand impact analysis and dependencies.
Depth-controlled symbol overviews to explore file structures without information overload.
Smart pattern matching that distinguishes between actual code symbols and string literals.

Use Cases

Onboarding to a large, unfamiliar repository by exploring high-level architecture.
Tracing complex call hierarchies to debug logic flow across multiple modules.
Performing impact analysis before refactoring by finding all references to a specific method.

About

Key Features

9 GitHub stars
LSP-powered symbol extraction for accurate class, function, and variable identification.
Multi-language support including Python, TypeScript, Rust, Go, and Java.
Cross-file reference tracing to understand impact analysis and dependencies.
Depth-controlled symbol overviews to explore file structures without information overload.
Smart pattern matching that distinguishes between actual code symbols and string literals.

Use Cases

Onboarding to a large, unfamiliar repository by exploring high-level architecture.
Tracing complex call hierarchies to debug logic flow across multiple modules.
Performing impact analysis before refactoring by finding all references to a specific method.