Aggregate recent social and web discussions into grounded briefings and prompts.
npx skills add https://github.com/syahravi/openclaw --skill last30days-syahravi
Please help me install this Agent Skill. Skill: last30days Source: https://github.com/syahravi/openclaw/tree/main/skills/last30days Command: npx skills add https://github.com/syahravi/openclaw --skill last30days-syahravi
Turn noisy, scattered real-time conversation into a single, grounded briefing: find what communities are upvoting, sharing, and betting on in the last 30 days and turn that signal into actionable insights and copy-paste prompts.
Run the skill by typing /last30days followed by your topic, for example: /last30days nano banana pro prompting.
High-intent search queries and answers about installing and using this skill.
Aggregate recent social trends by running cross-source research across Reddit, X, YouTube, and Hacker News. The tool applies recency filtering and engagement-weighted ranking to synthesize the last 30 days of community discussion into grounded narratives.
Yes, you can track Reddit and X discussions alongside Polymarket odds. The research tool integrates prediction market signals with social media aggregation to produce synthesized briefings for competitive intelligence and trend discovery.
Extract YouTube transcripts for research aggregation by using the integrated yt-dlp dependency. The tool processes video transcripts alongside web and social discussions, weighting them by engagement to build a comprehensive 30-day briefing.
Yes, monitoring community signals requires Python3 and Node environments, plus the yt-dlp package. These dependencies support the multi-source scraping, transcript extraction, and optional SQLite-backed accumulation for continuous watchlist tracking.
Generate copy-paste-ready prompts by synthesizing aggregated social and web discussions from the last 30 days. The tool formats these insights into structured JSON or expert prompt formats, directly applicable to prompt research and product intelligence workflows.
Yes, you can use SQLite to accumulate historical data for ongoing social trend monitoring. The optional SQLite-backed history mode enables always-on tracking and scheduled digests, building a persistent record of community signals over time.
ProyectoG007Download media and extract paragraph-style transcripts from YouTube and yt-dlp supported sites.
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