Does it support custom lint rules?

Absolutely. You can create YAML files to define custom rules for your project, allowing you to scan for specific anti-patterns or enforce project-specific coding standards automatically.

Can I use this for automated refactoring?

Yes. You can define search patterns and replacement templates to perform complex, structural refactors across your entire codebase, which is much safer than traditional find-and-replace.

Which programming languages are supported?

It supports over 20 major languages including JavaScript, TypeScript, Python, Go, Rust, Java, C++, Swift, PHP, and Ruby, thanks to its underlying tree-sitter integration.

How does ast-grep differ from standard grep?

Unlike standard grep which treats code as plain text, ast-grep parses code into an Abstract Syntax Tree (AST). This allows it to understand code structure, meaning it won't be fooled by whitespace, comments, or variable names that happen to contain the search string.

Semantic Code Search & Refactoring (ast-grep)

Name: Semantic Code Search & Refactoring (ast-grep)
Author: dev-jelly

bydev-jelly

开发者工具

Performs structural code search, linting, and complex refactorings using Abstract Syntax Tree (AST) analysis.

关于

This skill integrates ast-grep (sg) into Claude Code, enabling sophisticated code manipulations that go far beyond simple text-based searches. By understanding the underlying syntax tree of your code, it allows for high-precision pattern matching, symbol renaming, and structural refactoring across over 20 programming languages. Whether you are migrating APIs, enforcing custom architectural rules, or hunting down subtle anti-patterns, this skill provides the structural awareness needed to perform safe, large-scale changes with confidence.

主要功能

Custom linting rule creation via YAML for codebase-wide scanning
0 GitHub stars
Automated large-scale refactoring and symbol renaming with structural awareness
Support for complex relational rules like 'inside', 'has', and 'follows'
Semantic pattern matching using intuitive meta-variables and placeholders
AST-based structural code searching across 20+ programming languages

使用场景

Renaming functions or variables globally without the risk of affecting identically named strings or comments
Identifying and fixing code smells or anti-patterns that text-based tools miss
Large-scale API migrations, such as converting Axios calls to native Fetch across a project

关于

主要功能

Custom linting rule creation via YAML for codebase-wide scanning
0 GitHub stars
Automated large-scale refactoring and symbol renaming with structural awareness
Support for complex relational rules like 'inside', 'has', and 'follows'
Semantic pattern matching using intuitive meta-variables and placeholders
AST-based structural code searching across 20+ programming languages

使用场景

Renaming functions or variables globally without the risk of affecting identically named strings or comments
Identifying and fixing code smells or anti-patterns that text-based tools miss
Large-scale API migrations, such as converting Axios calls to native Fetch across a project