twitter-bookmarks

Sync X/Twitter bookmarks into a local searchable knowledge base.

1|2|Updated Apr 29, 2026
One-click install
npx skills add https://github.com/fuzzy-dynamics/strings --skill twitter-bookmarks-fuzzy-dynamics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: twitter-bookmarks
Source: https://github.com/fuzzy-dynamics/strings/tree/main/packages/skills/twitter-bookmarks
Command: npx skills add https://github.com/fuzzy-dynamics/strings --skill twitter-bookmarks-fuzzy-dynamics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Bookmarks saved on X/Twitter are difficult to search, skim, or synthesize into a coherent literature view. This skill converts those bookmarks into a private, searchable local knowledge base that supports reading and analysis.

Core Features & Use Cases

  • Full-text search across bookmarked tweets and their linked content using BM25, enabling fast discovery of relevant sources.
  • Resolve t.co shortened links to their real destinations (articles, papers, repos) and fetch article text for on-demand reading.
  • Classify and organize bookmarks by content type (article, arxiv, repo, image, video) to support focused research workflows and knowledge synthesis.
  • Use case: collect bookmarks on a topic, read the linked articles, and generate a domain knowledge base for a literature review.

Quick Start

Install the required tools, run ft-sync to collect your bookmarks, and then run ft-resolve --all to build the local link cache.

Frequently Asked Questions about twitter-bookmarks

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search my X/Twitter bookmarks offline?

To search X/Twitter bookmarks offline, sync your saved tweets into a local knowledge base using ft-sync, then use BM25 full-text search to quickly retrieve specific tweets and their linked content.

How can I resolve t.co shortened links in Twitter bookmarks?

Resolve t.co shortened links in Twitter bookmarks by running the ft-resolve command, which fetches the real destination URLs and extracts article text for on-demand reading.

Can I classify saved tweets by content type for research?

You can classify saved tweets by content type such as article, arxiv, repo, image, or video, supporting focused research workflows and helping synthesize domain knowledge for literature reviews.

What is the best way to build a knowledge base from Twitter bookmarks?

The best way to build a knowledge base from Twitter bookmarks is to sync them locally, resolve t.co links to fetch full article text, and index everything for full-text search and content classification.

Does full-text search work on the linked articles inside my bookmarks?

Full-text search works across both bookmarked tweets and their linked articles, enabling fast discovery of relevant sources after resolving t.co shortened links to fetch the article text.

Why are my Twitter bookmarks difficult to synthesize into a literature review?

Twitter bookmarks are difficult to synthesize because they lack native search and organization, but converting them into a local searchable index with content classification resolves this for literature reviews.