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last30days-skill - An open-source, cross-platform AI agent real-time commentary research tool.

`last30days-skill` is an open-source AI agent research skill that allows agents to automatically scrape real discussions from major overseas social media platforms over the past 30 days and synthesize citation-supported reports. The tool deeply crawls Reddit comments, X High...

What is last30days-skill?

last30days-skill is an open-source AI agent research skill that allows agents to automatically scrape real discussions from major overseas social media platforms over the past 30 days and synthesize citation-supported reports. The tool deeply crawls Reddit comments, top-rated replies, full YouTube transcripts, TikTok interactions, Polymarket odds, and more, sorting them by real human participation. last30days-skill supports intelligent topic analysis, cross-source story clustering, automatic competitor comparison, and shareable HTML summaries, helping users quickly grasp the true community consensus and latest developments on any topic.

The main functions of last30days-skill

  • Cross-platform deep integrationParallel search of more than ten platforms including Reddit, X, YouTube, TikTok, HN, Polymarket, GitHub, and Bluesky, crawling comments, replies, full transcripts, and odds data.
  • Sort by actual popularityScoring based on human participation signals such as upvotes, likes, views, and Polymarket odds.
  • Intelligent Pre-researchAfter entering a topic, it automatically parses relevant entities, such as X account, GitHub repository, subreddit, TikTok tag, and then performs a precise search.
  • Cross-source clustering mergingWhen the same story appears on different platforms, it will be automatically merged into one entry to avoid duplication.
  • Shareable HTML presentationsGenerates self-contained dark mode HTML files that can be directly placed in Slack, email, or Notion.
  • GitHub Personal ModeFor topics related to individuals, the query will automatically switch to the author dimension, displaying PR merging rate, number of stars, and published activities.
  • ELI5 modeIt can rewrite complex reports into plain language versions with a single click.
  • Automatic competitor comparison:support --competitors Parameters are automatically discovered and compared in parallel with leading competitors.

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How to use last30days-skill

  • Installation skillsClaude Code User Run /plugin marketplace add mvanhorn/last30days-skill and /plugin install last30daysOther hosts running npx skills add mvanhorn/last30days-skill -g
  • First run:enter /last30days <话题>Zero-configuration Reddit, HN, Polymarket, and GitHub sources work immediately.
  • Unlock more sourcesFollow the prompts to configure X Browser login, install yt-dlp, or set up a ScrapeCreators/Perplexity API Key to enable YouTube, TikTok, Instagram, etc.
  • Generate a briefingAsk directly /last30days <话题>, give me a shareable HTML brief An offline HTML report is available.
  • In-depth questioningAfter the presentation is generated, continue asking questions in the same session, and the AI will answer based on the full context it has captured.

The core advantages of last30days-skill

  • Depth is better than breadthIt supports capturing comments, replies, and full transcriptions; high-quality information is often hidden in the comments section.
  • Real signal driveRankings are determined by human votes and spending money, not by search engine optimization.
  • Multi-platform bridgingIt connects more than ten independent platform walls and gardens, providing a comprehensive view at once.
  • Intelligent entity analysisThe v3 engine first understands the topic before searching, finding content that the v2 engine could not find.
  • Privacy and Open SourceIt is open source under the MIT license, with no tracking or analysis, and all research files are stored on the local machine.

The project address for last30days-skill

  • GitHub repository:https://github.com/mvanhorn/last30days-skill

Comparison of last30days-skill with similar competitors

Comparison Dimensions last30days-skill Perplexity
Product Positioning Open-source AI Agent research skills, specifically designed to aggregate real-world community discussions across multiple social platforms. An AI-powered search engine that focuses on real-time web page search and question-and-answer sessions with cited sources.
Coverage More than ten social media platforms including Reddit, X, YouTube, TikTok, HN, Polymarket, GitHub, and Bluesky. Web pages, news articles, academic papers, Reddit (partial collaboration), YouTube
Content Depth Deep data collection including comments, top-rated replies, full video transcriptions, predicted market odds, and PR consolidation rates. Webpage summary, excerpt from Reddit content, academic summary, video description
Sorting mechanism Rating based on real human engagement (upvotes / likes / views / odds / stars), anti-SEO Model ranking based on relevance and credibility algorithms
Real-time Focusing on community activity over the past 30 days, continuously updated based on actual engagement. Real-time webpage indexing, covering the latest news and events.

Application scenarios of last30days-skill

  • Pre-meeting personnel surveyEnter the name of the target person, and it will automatically aggregate their posts, code submissions and community discussions on platforms such as X, GitHub, and Reddit over the past 30 days to generate a more realistic dynamic profile than LinkedIn.
  • Learning new technical conceptsInput emerging concepts such as "loop engineering" to get first-hand community discussions, divergent viewpoints, and best practices, avoiding reliance on second-hand information.
  • Product Selection ComparisonInput "OpenClaw vs Hermes" to generate a multi-dimensional comparison report based on real user feedback, GitHub star trends, and community controversies.
  • Hot topic trackingEnter keywords such as "Kanye West's new album" or international conflict topics to aggregate news, predict market odds, in-depth YouTube analysis, and social media reactions, and stay on top of the overall situation.
  • Consumption and travel decisionsEnter keywords such as "Universal Epic Universe" or electronic products to get the latest queue times, troubleshooting information, real user feedback, and cost-effectiveness discussions from the community.