Collect and rank weekly RWA tokenization developments from web sources.
npx skills add https://github.com/aaronjmars/aeon --skill rwa-pulse
Please help me install this Agent Skill. Skill: rwa-pulse Source: https://github.com/aaronjmars/aeon/tree/main/skills/rwa-pulse Command: npx skills add https://github.com/aaronjmars/aeon --skill rwa-pulse
RWA tokenization updates are scattered across sources, making it hard to consistently track real momentum like launches, TVL milestones, institutional adoption, and regulatory actions.
Use the rwa-pulse skill to generate this week’s RWA momentum report and notification based on your existing memory files and the last 7 days of RWA coverage.
High-intent search queries and answers about installing and using this skill.
Track real-world asset tokenization momentum by using automated web search filtering to collect, deduplicate, and score weekly protocol launches, TVL milestones, and institutional adoption signals. This generates a structured weekly research digest.
Automate recurring RWA research digests by configuring a protocol watchlist and reading operator memory for last-known TVL baselines. The system fetches recent developments and writes back cumulative weekly summaries for newsletter reuse.
TVL tracking implements a fallback mechanism from web fetch to web search when direct protocol stats are unavailable. It compares current total market figures against last-known TVL baselines stored in operator memory.
Yes, you can use a configured protocol watchlist to filter institutional adoption signals. The system reads tracked protocols from operator memory and deduplicates top items based on your predefined watchlist parameters.
Yes, generating a weekly RWA market monitoring report requires reading operator memory for last-known TVL baselines and tracked protocols. This ensures the weekly recap stays cumulative and builds upon prior data.
Filtering regulatory developments is limited by the availability of public web sources over the last 7 days. The system applies time-bounded web search filtering to exclude opinion pieces but cannot synthesize unreported regulatory actions.
Atrium-HermesSurface weekly real-world asset tokenization signals from web searches and update memory.
swarm-ai-researchTrack weekly real-world asset tokenization momentum and surface key signals.
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Atrium-HermesCollect weekly prediction-market volumes, regulatory moves, and mechanism designs.
