List Digest

Consolidating cross-list signals from X lists involves fetching tweets from multiple list IDs, de-duplicating repeated items, and scoring them. This filters noisy social-media feeds to help you spot meaningful trends quickly.

The best way to rank top tweets is through score-based ranking combined with narrative clustering. This approach extracts actionable insights from X lists and presents them in a portable digest composition with concise contextual insights.

You need memory and local storage to fetch, score, cluster, and present insights, while X.AI API access is optional. Providing a comma-separated list of X list IDs is the primary input required to initialize the fetching process.

Yes, you can de-duplicate repeated tweets when tracking multiple X lists. The skill handles de-duplication across lists during the aggregation process to avoid repeated items and ensure a clean, consolidated feed.

You can extract actionable insights by applying score-based ranking and narrative clustering to noisy social-media list feeds. This filters, ranks, and contextualizes top tweets to surface common signals and meaningful trends.