Summarize top tweets from specified X lists with signal scoring.
npx skills add https://github.com/aeoncity-demo/myaeon --skill list-digest-aeoncity-demo
Please help me install this Agent Skill. Skill: List Digest Source: https://github.com/aeoncity-demo/myaeon/tree/main/skills/list-digest Command: npx skills add https://github.com/aeoncity-demo/myaeon --skill list-digest-aeoncity-demo
This Skill provides a concise summary of the most engaging tweets from the specified X lists in the past 24 hours, saving time by eliminating the need to manually scroll through multiple lists.
To activate the skill, provide the comma-separated list IDs and optionally a topic filter, e.g., /list-digest 1953536336675365173,1937207796270829766|AI agents.
High-intent search queries and answers about installing and using this skill.
To summarize top tweets from X lists, provide comma-separated list IDs and an optional topic filter. The tool uses cross-list narrative resonance and signal scoring to generate a concise digest of the most engaging tweets from the past 24 hours.
Cross-list narrative resonance in social media analysis identifies overlapping themes and trending topics across multiple X lists. It scores tweet signals to surface high-impact discussions, providing context and insights for daily monitoring without manual scrolling.
An XAI API key is required to generate a tweet digest. If the key is unavailable, the tool falls back to web search to gather tweet data, ensuring the summary process continues with reduced analytical depth.
You can filter X list summaries by appending a topic filter to your list IDs. This narrows the tweet content analyzed, ensuring the generated digest only includes tweets relevant to your specified topic alongside one-line contextual analyses.
The best way to monitor daily trends across multiple X lists is running an automated digest that scores tweet signals and cross-list resonance. This extracts top engaging content from 24 hours, producing a concise summary with contextual insights for trend tracking.
When using web search fallback for tweet summaries instead of the XAI API, the analysis relies on general web results rather than direct list access. This limits the accuracy of signal scoring and cross-list narrative resonance for the daily digest.
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