Search codebases and documents for regex patterns while respecting .gitignore.
npx skills add https://github.com/penpot/penpot --skill ripgrep-penpot
Please help me install this Agent Skill. Skill: ripgrep Source: https://github.com/penpot/penpot/tree/main/.opencode/skills/ripgrep Command: npx skills add https://github.com/penpot/penpot --skill ripgrep-penpot
Identify and locate text patterns across large codebases and documents quickly and efficiently, while respecting .gitignore rules.
Run ripgrep to search your project for a pattern and return matching lines across files.
High-intent search queries and answers about installing and using this skill.
To search a large codebase quickly, use the ripgrep engine to perform fast recursive directory scans for regex patterns. It identifies and locates text patterns across multi-language repositories while respecting .gitignore rules and filtering by specific file types.
Yes, ripgrep respects .gitignore rules during recursive directory scans. This ensures search results automatically exclude files and directories defined in your .gitignore, keeping text pattern matches relevant to your actual project source code.
The best way to find all TODO comments across a multi-language repository is using ripgrep for recursive text search. It rapidly scans directories with regex support to locate exact text patterns like TODO, guiding code review and refactoring.
Yes, you can filter codebase search results by specific file types. The ripgrep engine supports file type filtering during its recursive scans, allowing you to restrict regex pattern matching to specific languages or document formats.
Use ripgrep for content discovery because it is a blazingly fast search engine built for large codebases. It provides strong performance and predictable output during recursive scans, accurately finding regex patterns faster than standard search tools.
CloudyWingDetect a project's tech stack and merge GitHub gitignore templates while preserving custom rules.
aiyinluyaClean Chinese text fields in multi-sheet Excel files and count matching values.
ThiagoVitaleArchive completed milestones and update project documentation for the next version.
wewetv1987-cellValidate and extract text using regular expressions across JavaScript, Python, Go, and command-line tools.
