Which languages does this skill support?

It supports over 20 languages including Java, JavaScript, TypeScript, Python, Rust, Go, C++, C#, and more.

Can I use this for automated code migrations?

Yes, it excels at structural rewrites and pattern-based transformations, making it ideal for bulk refactoring and API migrations.

How is ast-grep different from standard grep?

Unlike text-based grep, ast-grep understands the syntactic structure of code (AST), preventing false positives from comments or strings and allowing for more precise matching.

What are meta-variables in ast-grep?

Meta-variables (like $VAR) are placeholders that capture AST nodes, allowing you to match variable content and reuse it in search patterns or rewrite results.

Does it support custom linting rules?

Yes, you can define custom rules in YAML format to enforce specific patterns, security standards, or best practices within your project.

ast-grep Code Analysis

Name: ast-grep Code Analysis
Author: towry

bytowry

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开发者工具

Performs high-precision, AST-based code searching, linting, and structural refactoring across 20+ programming languages.

关于

Leverages Abstract Syntax Trees (AST) to enable structurally aware code manipulation that avoids the pitfalls of text-based search and regex. This skill allows Claude to understand code patterns, apply surgical rewrites, and enforce project-specific linting rules by treating code as a tree structure rather than plain text. It is particularly effective for complex refactoring tasks, security audits, and navigating large-scale codebases in languages like Java, Python, and TypeScript.

主要功能

Structural searching using AST nodes to avoid false positives in comments or strings
Custom linting rule creation using YAML configuration for domain-specific standards
Language-specific pattern matching for complex structures like Java annotations and streams
Multi-language support for 20+ languages including Java, Rust, Go, and Python
Automated code rewrites and codemods with flexible meta-variable support
11 GitHub stars

使用场景

Identifying security vulnerabilities such as SQL injection or hardcoded credentials
Executing large-scale API migrations and structural code refactoring
Enforcing domain-specific coding standards and architectural patterns via custom rules

关于

主要功能

Structural searching using AST nodes to avoid false positives in comments or strings
Custom linting rule creation using YAML configuration for domain-specific standards
Language-specific pattern matching for complex structures like Java annotations and streams
Multi-language support for 20+ languages including Java, Rust, Go, and Python
Automated code rewrites and codemods with flexible meta-variable support
11 GitHub stars

使用场景

Identifying security vulnerabilities such as SQL injection or hardcoded credentials
Executing large-scale API migrations and structural code refactoring
Enforcing domain-specific coding standards and architectural patterns via custom rules