Search file names and file contents using fd and ripgrep.
npx skills add https://github.com/wentorai/Research-Claw --skill file-search-wentorai
Please help me install this Agent Skill. Skill: file-search Source: https://github.com/wentorai/Research-Claw/tree/main/skills/file-search Command: npx skills add https://github.com/wentorai/Research-Claw --skill file-search-wentorai
It solves slow, manual searching for files by name and for text inside documents, so you can quickly locate what you need within a large project or research workspace.
Ask the skill to search your repository for the keyword "multi-agent" and return matching filenames with line numbers.
High-intent search queries and answers about installing and using this skill.
To search for a specific string inside multiple project files, use ripgrep (rg) to perform fast content retrieval with exact string or regex pattern matching. You can refine results by controlling output to show counts, filenames, line numbers, or surrounding context.
The best way to find files by name and extension in a large directory is using fd for fast file-name retrieval. You can apply filters for file type, extension, size, and modified time to quickly locate relevant source files or configuration files.
Yes, you need to install fd-find and ripgrep because this capability requires both to be available in your environment. It uses fd for file-name searches and rg for content retrieval to locate matching patterns across directories.
Yes, you can search hidden and ignored files when looking for configuration settings by using specific hidden and ignored-file flags. This allows you to narrow or expand your search scope to include files normally excluded by default.
To locate a specific citation string across local PDFs and notes, use ripgrep to rapidly search inside files for exact strings or regex patterns. This is suitable for research writing workflows to find where specific methods or citations appear.
Yes, ripgrep supports searching for regex patterns with controllable output including line numbers and surrounding context. It enables fast content search across project directories to locate exact strings or complex pattern matches within files.
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