Search code structurally using AST patterns across multiple languages.
npx skills add https://github.com/disusered/dotfiles-universal --skill ast-grep
Please help me install this Agent Skill. Skill: ast-grep Source: https://github.com/disusered/dotfiles-universal/tree/main/ai/claude/skills/tools/ast-grep Command: npx skills add https://github.com/disusered/dotfiles-universal --skill ast-grep
This Skill solves the problem of imprecise code searching and refactoring by understanding code structure rather than just text. It helps developers quickly find specific patterns, identify deprecated APIs, and enforce coding standards, saving time and reducing errors in large codebases.
console.log() statements in your TypeScript project. Instead of a naive text search, use ast-grep --pattern 'console.log($MSG)' --lang ts to precisely locate only executable console.log calls, ignoring those in comments or strings.Use ast-grep to find all useState calls in my TypeScript files.
ast-grep --pattern 'useState($INIT)' --lang ts
High-intent search queries and answers about installing and using this skill.
Structural code search using Abstract Syntax Trees (AST) identifies patterns based on code structure rather than text, eliminating false matches in comments or strings. ast-grep applies this to JavaScript, TypeScript, Python, Go, Rust, Java, and other languages, making it precise for large repositories.
Yes. Structural refactoring pinpoints all instances of a specific function call or code pattern before large-scale refactors. You specify a syntax pattern and language, and it returns exact matches with optional context for planning and tooling integration.
Syntax-aware code inspection using AST patterns enforces standards by finding specific code structures consistently across your codebase. Define a pattern for the standard or anti-pattern you want to detect, and retrieve all violations with JSON output for downstream analysis.
Yes. Multi-language support covers JavaScript, TypeScript, Python, Go, Rust, Java, and more. Specify the target language with each search, allowing you to apply consistent refactoring strategies across different parts of a polyglot environment.
Search results are returned in JSON format with optional context, enabling integration with downstream tooling, reporting systems, and migration planning. This structured output supports automation and batch processing for large refactoring initiatives.
Text search matches strings in comments, documentation, and non-executable locations, creating false positives and incomplete refactors. Syntax-aware search uses AST parsing to identify only executable code matching your pattern, ensuring accuracy and safety.
IndianBoy42Search codebases using AST patterns to reveal structural code relationships.
parcadeiSearch and refactor code by AST structural pattern matching across multi-language codebases.
mishahaninTranslate natural language queries into structural AST patterns for code search.
markeriksonSearch codebases for text patterns and syntax-aware AST matches.