Cluster recent AI-agent tweets into 2–4 narratives with concise insights.
npx skills add https://github.com/swarm-ai-research/aeon --skill agent-buzz-swarm-ai-research
Please help me install this Agent Skill. Skill: Agent Buzz Source: https://github.com/swarm-ai-research/aeon/tree/main/skills/agent-buzz Command: npx skills add https://github.com/swarm-ai-research/aeon --skill agent-buzz-swarm-ai-research
This Skill curates scattered AI-agent tweets and social chatter into concise, narrative-ready insights, helping teams quickly understand trends and ideas without wading through noise.
Cluster the latest AI-agent tweets into 2–4 narrative clusters and provide concise insights for each.
High-intent search queries and answers about installing and using this skill.
To curate AI-agent tweets into narrative insights, this Skill clusters recent X timeline activity into 2–4 coherent narratives and delivers 6–9 high-signal items with concise, one-line summaries tailored for product and research teams.
Narrative clustering for social media content groups scattered tweets into 2–4 coherent narratives based on underlying theses, allowing teams to quickly understand trends and ideas without wading through noise.
You can deduplicate and filter low-signal AI-agent posts by reading memory context and daily logs to identify duplicate links, then applying simple heuristics and recency filters to ignore irrelevant social chatter.
Yes, you can generate a weekly digest of the AI-agent landscape by processing recent X timelines, computing simple signal scores, and outputting structured clusters with 1–2 sentence takeaways for each identified narrative.
Yes, this tweet curation approach works without external dependencies or components, operating independently on recent X timelines, memory context, and daily logs to deduplicate links and compute signal scores.
A limitation of clustering tweets into narrative insights is that output is restricted to 2–4 narratives and 6–9 high-signal items, meaning highly fragmented or extremely high-volume activity periods may exceed the configured capacity for quick consumption.
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