Tweet Roundup

Fetch recent X posts for configurable topics with deduplication and ranking.

6|2|Updated May 21, 2026
One-click install
npx skills add https://github.com/anajuliabit/aeon --skill tweet-roundup-anajuliabit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Tweet Roundup
Source: https://github.com/anajuliabit/aeon/tree/main/skills/tweet-roundup
Command: npx skills add https://github.com/anajuliabit/aeon --skill tweet-roundup-anajuliabit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you stay on top of fast-moving topics on X without manually searching, deduplicating, and summarizing recent posts.

Core Features & Use Cases

  • Topic-based discovery with deduping: Pulls recent tweets per configurable topic while excluding previously reported URLs using persistent and log-derived “seen” tracking.
  • Signal scoring and smart filtering: Ranks tweets using engagement-derived signal (likes, retweets, replies when available), removes near-duplicates, and prefers primary posts over thread replies.
  • Curated notifications with insights: Groups tweets into sub-narratives when there are many, writes clear insights about what each tweet asserts, and sends a concise roundup with view links.

Quick Start

Ask the AI to run Tweet Roundup for the topics "solana", "AI agents", and "bitcoin" so you get a fresh, ranked digest of the latest tweets with insights and links.

Frequently Asked Questions about Tweet Roundup

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

FAQPage Schema
How do I monitor X chatter for specific topics without getting duplicate posts?

To monitor X chatter without duplicates, use a workflow that tracks seen URLs persistently and filters recent logs. This ensures each digest only contains fresh, unique posts for your configured topics.

What is the best way to curate a daily market brief from recent tweets?

The best way to curate a daily market brief from recent tweets is to fetch posts within the last 48 hours, score them by engagement signals, and group them into sub-narratives with clear insights and view links.

How does tweet deduplication work for recurring social listening digests?

Tweet deduplication for recurring digests works by excluding URLs found in a persistent seen file and recent workflow logs, ensuring previously reported posts are never included in new updates.

Can I rank tweets based on engagement metrics for a PR launch chatter scan?

Yes, you can rank tweets for a PR launch chatter scan by applying signal scoring derived from available likes, retweets, and replies, while preferring primary posts over thread replies.

What time frame does social listening content curation cover for autonomous alerts?

Social listening content curation for autonomous alerts covers posts within the last 48 hours, fetching candidates from cached prefetch data and falling back to web search when needed.