My bookmarks bar was a graveyard. 400 links saved and probably half of them haven’t been opened since 2022. I finally sat down to sort through them and made it a prompt exercise instead of a weekend project. Whole thing took about 15 minutes.
Three prompts below, one per model. Tweak the folder names for your own setup. Fair warning: nothing here catches every dead link. Older stuff will still need a manual click-through, but it’ll handle most of the sorting.
[Claude]
You are a digital archivist. I will paste a list of my 200+ bookmarks as plain text, one per line. Sort them into 5 folders: Work, Research, Reference, Read Later, and Archive. For each bookmark, assign a folder and a one-line reason. Flag any that are clearly dead links or duplicates. Output as a markdown table with columns: Bookmark, Folder, Reason, Action (Keep/Move/Delete). End with a count of how many to delete.
[ChatGPT]
I keep 30+ tabs open because I fear losing something. Given that I mostly research topics for blog posts, design a tab-triage routine. Produce a 5-step checklist I can run each morning in under 3 minutes: what to close, what to bookmark, what to move to a reading list, and what to act on that day. Output the checklist as a numbered list with a time estimate per step.
[Cursor]
Write a Python script that reads my browser bookmarks HTML export (I will paste the file path) and reports: total count, top 10 domains, duplicate URLs, and broken links by checking HTTP status codes with a 5-second timeout. Output a summary report to the console and save a cleaned bookmarks.html with duplicates removed. Handle the export format from Chrome and Firefox.
More daily packs at aitoolalliance.com/tag/prompt-pack.