Clicking through six levels of nested folders to reach one file gets old fast, especially in monorepos and long-lived codebases. Here's the quickest way to jump straight there.
Why folder-by-folder navigation breaks down at scale
GitHub's file browser is a straightforward folder tree, and that's fine for small projects — but the moment a repository grows into a monorepo with dozens of packages, or a long-lived codebase with deep module nesting, clicking your way to a specific file becomes genuinely slow. You either need to already know the exact path, or you click through several folders guessing at each level.
Land on any page within the repo — the root, a subfolder, even a pull request's file list.
Press Ctrl+Shift+K (or Cmd+Shift+K on Mac)
RepoKit's search modal opens instantly over the current page.
Type part of the filename
Results appear as you type, ranked by relevance — exact and prefix matches rise to the top.
Press Enter or click a result
You're taken straight to that file, skipping every folder you would have clicked through manually.
A bonus for duplicate-prone repos
If a filename exists in more than one place — common in monorepos where each package has its own index.ts — RepoKit's search shows every location at once, so you can pick the right one instead of guessing which folder you meant.
Frequently asked questions
Is this the same as GitHub's own 't' shortcut file finder?+
No, it's a separate tool RepoKit adds — reachable with Ctrl/Cmd+Shift+K — that additionally surfaces file size and duplicate information in results, and works from any point in the repo including pull request views.
Does it search file contents, or just filenames?+
Filenames and paths, not file contents — the goal is fast navigation to a file you already know the name (or part of the name) of, not a full-text code search across the repository.
How large a repo can this realistically handle?+
It's been used comfortably on repositories with tens of thousands of files — since the underlying index is the same tree data RepoKit already loads for sizing, there's no separate slow indexing step to wait through.
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