Claude Code skill searches Reddit, X, and YouTube instantly

A new tool called last30days-skill just hit 11,900 GitHub stars — with 2,824 of those coming in a single day. The project is a Claude Code skill (an add-on that extends Claude Code's capabilities) that turns the AI into a real-time research agent. Ask it about any topic, and it simultaneously searches Reddit, X (Twitter), YouTube, Bluesky, TikTok, Instagram, Hacker News, Polymarket, and the web — then delivers a ranked summary with real citations from the last 30 days.

This fills a significant gap in current AI tools: ChatGPT, Claude, and Gemini all have knowledge cutoffs and struggle with genuinely current information. Last30days-skill bypasses this entirely by searching live platforms, not AI training data. The results come from actual recent discussions — not AI guessing what people might currently think.

What Makes This Different From Asking ChatGPT a Question

When you ask ChatGPT or Claude “what are developers saying about Cursor vs Claude Code right now?” — you get a synthesized answer based on training data that may be months or years old. The AI will sound confident and current, but it is describing the past.

Last30days-skill actually goes out and checks. When you run /last30days cursor vs claude code, it simultaneously queries multiple platforms, finds posts, comments, and discussions from the last 30 days, scores them by relevance and engagement, and synthesizes findings into a summary that cites real sources you can verify.

This makes it genuinely useful for competitive intelligence (what are people saying about competing tools?), trend research (what prompting techniques are working right now?), and decision-making based on current community consensus rather than stale AI training data.

The 10 Sources It Searches in Parallel

Every query hits all of these simultaneously:

• Reddit — community discussions and opinions in relevant subreddits
• X (Twitter) — real-time developer and industry commentary
• YouTube — video content and comment sentiment from tutorials and reviews
• Bluesky — the AT Protocol social network growing rapidly among developers
• TikTok & Instagram — consumer-facing content and trends
• Hacker News — the primary discussion forum for developers and tech professionals
• Polymarket — real-money prediction markets showing what people bet on, not just say
• Web — broader news and blog coverage

The Polymarket integration is particularly interesting. Prediction markets (platforms where people place real financial bets on outcomes) tend to have higher signal quality than opinion posts because there are actual financial consequences for being wrong. When last30days shows you what people are betting on regarding an AI tool or event, that is a different quality of signal than what they say on Reddit.

The Smart Scoring System

Raw search results are not useful — the internet has too much noise. Last30days-skill scores every result it finds using multiple signals:

• Engagement velocity: How quickly a post gained likes, comments, or upvotes (recent rapid engagement beats older high-engagement content)
• Cross-platform convergence: When multiple platforms independently discuss the same thing, it ranks higher
• Temporal relevance: Recency is weighted heavily — something from yesterday outranks something from three weeks ago for most queries
• Text similarity: How closely the content actually matches what you asked about
• Source authority: Verified accounts and high-reputation sources get a boost

The result is a ranked synthesis, not just a list of links — and every claim in the synthesis can be traced back to a specific source post you can click through to verify.

Comparative Mode and Advanced Features

Last30days-skill has a built-in comparative mode that runs three separate research passes when you use the “X vs Y” format:

/last30days cursor vs claude code

This returns a side-by-side analysis of what the community currently says about each tool, based on actual recent discussions — not AI assumptions. For product research, competitive analysis, or tool selection decisions, this mode is particularly powerful.

Other notable features:

• Auto-save to Documents: Every research run automatically saves a markdown file to ~/Documents/Last30Days/ — so you build an archive of your research without any extra steps
• Watchlist mode: Track specific topics continuously via scheduled cron jobs (automated recurring commands)
• X handle resolution: Search by a person's name or handle, not just keywords
• Bluesky integration: Optional if you have Bluesky credentials; adds the AT Protocol network as a source

How to Install in Claude Code

The install takes about 30 seconds:

/plugin marketplace add mvanhorn/last30days-skill
/plugin install last30days@last30days-skill

Some platform sources (X, YouTube) require API keys. The README on GitHub has a step-by-step guide for getting each one — most are free-tier keys with generous limits for personal use.

For Gemini CLI:

gemini extensions install https://github.com/mvanhorn/last30days-skill.git

Example Queries That Work Well

Here are searches that demonstrate what the tool is best at — questions where current community data matters more than AI knowledge:

• /last30days best prompting techniques for Claude Code — what is actually working in production right now
• /last30days react vs svelte 2026 — current developer sentiment comparison
• /last30days AI coding tools developer satisfaction — aggregated community consensus
• /last30days remote work trends tech companies — what people are actually experiencing and discussing

The skill is open-source and actively maintained. Full installation instructions, API key setup guides, and usage documentation are available at github.com/mvanhorn/last30days-skill.

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