last30days just hit 12K stars: searches Reddit, X, YouTube

Imagine typing one question and getting back a grounded research report — with citations from Reddit threads, YouTube videos, X posts, and real-money prediction markets — all within 8 minutes. That's what last30days-skill does, and it just crossed 12,400 GitHub stars with a spike of +2,824 stars in a single day (March 28, 2026).

It works as a skill plugin for Claude Code (Anthropic's AI coding assistant) and the Gemini CLI (Google's command-line AI tool). You install it in one command, and then you can ask it to research anything — from "what's the community saying about Cursor vs Windsurf?" to "what are the best prompting techniques for ChatGPT right now?"

What You Can Actually Research With It

last30days-skill searches 10 signal sources simultaneously:

• Reddit — top posts and comments from the most relevant subreddits
• X / Twitter — recent posts and threads from relevant accounts
• Bluesky — the decentralized social platform gaining traction in tech circles
• YouTube — video transcripts indexed and searchable
• TikTok — trending short-form video content
• Instagram Reels — visual content coverage
• Hacker News — tech community discussions and comments
• Polymarket — prediction markets where people bet real money on outcomes
• Web — general search results
• Truth Social — additional social coverage

Results aren't just aggregated — they're scored. The skill uses a multi-factor scoring system: text relevance (35%), engagement (how many upvotes/comments, 25%), source authority (20%), cross-platform convergence (when multiple platforms agree, 10%), and recency (10%). The output is a structured markdown report with citations you can actually click.

Real Use Cases — What People Are Doing With It

Here are practical examples from the documentation and community:

The Polymarket integration is particularly interesting for business users. Polymarket is a real-money prediction market (think of it like a stock market where people bet on world events). The skill surfaces live prediction odds alongside community discussion — so you can see not just what people are saying but what they're willing to bet.

How to Install It in 60 Seconds

If you have Claude Code installed:

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

If you use Gemini CLI (Google's command-line AI tool):

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

Manual install (for any AI assistant):

git clone https://github.com/mvanhorn/last30days-skill.git ~/.claude/skills/last30days
mkdir -p ~/.config/last30days
# Add your API keys to ~/.config/last30days/.env

You'll need a ScrapeCreators API key (covers Reddit, TikTok, and Instagram — this is a paid API service that makes data extraction from these platforms reliable). Twitter/X access uses cookie-based authentication, and Bluesky works with your regular username and password.

Running a Research Session

Basic usage after installation:

/last30days [your topic]
/last30days [topic] for [specific context]
/last30days [topic A] vs [topic B]   # Comparison mode (v2.9.5+)
/last30days [topic] --quick           # Faster, less thorough
/last30days [topic] --days=7          # Limit to last 7 days only

A standard research run takes 2–8 minutes depending on how niche the topic is. Results are automatically saved to ~/Documents/Last30Days/ as markdown files — building a personal research library over time.

Who Will Get the Most From This

If you're a marketer or content creator, this tool is a shortcut to understanding what's actually resonating with communities right now — not what blog posts say is popular. Run it before writing any content or planning a campaign.

If you're evaluating software tools, the comparison mode (/last30days cursor vs windsurf) saves you hours of reading through forums and review sites. You get a synthesis of real user experience across multiple platforms in one report.

If you're a researcher or analyst, the Polymarket integration adds a dimension you can't get from traditional research: real financial stakes. When a community not only discusses something but also bets money on it, the confidence signal is stronger.

If you build AI-powered workflows, the --emit=json flag returns structured JSON output that you can pipe into other processes — making last30days-skill a research module in a larger automation pipeline.

As of March 25, 2026, it's described as the most comprehensive AI research skill on ClawHub (the OpenClaw skill marketplace). With 12,400 stars, 1,000 forks, and 265 commits, this is a mature project with active development — not an experimental side project.

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