Diigo

Use Case Scenarios

• The competitive reading list that files itself

  A monitoring flow watches vendor changelogs, analyst posts, and a handful of newsletters. Each item that clears the relevance rule reaches the agent with a URL and a one-line reason. The agent calls List Bookmarks with the filter set to include private entries, because a private bookmark that is simply absent from the default response looks exactly like a link nobody has saved. If the URL is new, Save Bookmark files it with the campaign tag, the source, and the reason. If it already exists, the agent leaves merge on so the existing tags and description survive and only the new ones are added. A weekly digest posts to Slack with the additions grouped by tag.

• Turning a shared library into a working brief

  Before a positioning review, the agent reads the whole tagged slice of the library with List Bookmarks, paging in batches because Diigo returns no total and a short page is how the end of the list announces itself. Each entry becomes a row in Google Sheets with its tags, its description, and the date it was filed, and the annotations that came back on the read are carried across as context rather than rewritten. The team argues over a single sheet instead of nine people's bookmark bars.

• A cleanup sweep that reports rather than assumes

  Quarterly, the agent walks the library looking for dead links and duplicates saved under different URL forms. Delete Bookmark identifies its target by URL rather than by an identifier, and it answers with a count instead of an error, so a wrong URL comes back as a successful call that deleted nothing. The agent treats that count as the actual result: it records which deletions reported zero, posts the list to the research owner with the URLs it tried, and only then runs the confirmed removals. A cleanup that cannot tell success from a typo is not a cleanup.