🔥 This #1 Trending Skill Completely Gives Claude a Research Superpower (55K-Star Now)

Introduction

Claude Code is genuinely great at coding. But research? It still feels a bit awkward.

You can easily miss the Reddit complaints, Hacker News debates, X posts, YouTube comments, TikTok reactions, all the messy, unfiltered stuff that tells you what people actually think.

That gap is exactly what this Claude Code tutorial is about.

I’ll show you how to use the new skill, a trending open-source GitHub repo that gives Claude Code a much better way to research fast-moving topics.

By the end, you’ll have a faster way to turn Claude Code into a real user-sentiment research tool.

I. What Even Is the Last 30 Days Skill?

Last 30 Days is an open-source GitHub repo with around 55,000 stars, and it was also the #1 trending GitHub repo of the day.

It researches any topic across Reddit, X, YouTube, Hacker News, Polymarket, and the web, then synthesizes a grounded summary to give Claude Code a way to see what people are saying across real platforms.

What platforms can it actually search?

You may know that web search usually stops at headlines, blog posts, and SEO-friendly pages. Last 30 Days goes deeper. It can pull from:

• Comments, transcripts, posts, threads, GitHub discussions, and platform reactions.

• Raw data files that you can inspect later, including JSON exports.

After that, Claude Code turns the research into a clear report. So instead of asking, “What articles are ranking about this topic?”, you can ask a better question:

No single AI has native access to all of these because each platform is a walled garden with its own API, tokens, and auth.

But you can bring your own keys and browser sessions, and suddenly an AI agent can search all of them at once, score them, and tell you what actually matters.

II. How Is This Different from Normal Web Search?

Let’s say your research question is: What are people saying about Claude Opus 5?

With normal web search, Claude Code gives you a decent surface-level answer. You get a summary of top articles, launch coverage, and the kind of polished content that already ranks well. Useful? Yes. But you’re only seeing what editors and SEO writers decided to publish.

Plain web search

With Last 30 Days, you get a cross-platform report pulling from Reddit threads, X posts, YouTube comment sections, Hacker News debates, and Polymarket odds, all in one place.

The bigger difference is depth. Last 30 Days doesn’t stop at the post title. It reads the messy parts too: comments, replies, transcripts, reactions, and repeated patterns across platforms.

Last 30 Days

For the Claude Opus 5 example, Last 30 Days pulled from a much wider source list. It can tell you whether the comments agree with the post or completely contradict it. 

A normal search may find the article. Last 30 Days can also check if the community pushed back, made jokes about it, or exposed the real frustration buried in the replies.

That last layer: the comment sentiment, not just the headline sentiment, is usually where the real signal lives.

III. How to Install It (Read This Carefully)

The setup is simple inside Claude Code.

You install Last 30 Days with one line of code, then Claude Code can start using it as a skill. The same repo also explains how to use it with Codex, Cursor, and even the claude.ai web app.

This is now the recommended method because the Claude Code marketplace handles updates automatically.

For most users, the only source that may cost real money is X/Twitter. It needs an xAI API key, and from testing, it usually costs around $0.10 per run. But the easier (and free) path is just using your existing browser cookies from x.com.

TikTok and Instagram are different. They use a Scrape Creators API key, but the install flow helps you get a subsidized account with thousands of free calls.

• If you run this once in a while, that can feel basically free for a long time.

• If you run it every day, you may still get around 6 months before paying.

The repo also shows exactly which platforms need API keys, which ones need dependencies, and which ones work automatically.

Reddit (with comments), Hacker News, Polymarket, and GitHub work immediately with zero configuration. Run /last30days once and the setup wizard unlocks more sources in 30 seconds, including the free arXiv and Techmeme CLIs.

YouTube video transcripts are also free, you just need yt-dlp installed:

brew install yt-dlp   # macOS
pip install yt-dlp    # cross-platform

Start with the zero-setup free sources. They’re genuinely useful for most research tasks. Only add ScrapeCreators when you specifically need TikTok or Instagram signals, and go in knowing the free credits are limited.

IV. How It Works Under the Hood

Using Last 30 Days inside Claude Code is simple. You can call it with:

Or you can write in natural language:

Use Last 30 Days to research what people are saying about Claude Opus 5.

After that, Claude Code takes your topic and turns it into a better research prompt before it starts searching. Here’s the basic flow:

The source targeting is smart.

Ask about an AI coding tool and it focuses on Hacker News, GitHub, and developer Reddit threads. Ask about a creator trend and it shifts weight toward TikTok, Instagram, and YouTube.A Reddit thread with 1,500 upvotes is a stronger signal than a blog post nobody read. A TikTok with 3.6M views tells you more about what’s culturally relevant than a press release.

One more thing: it doesn’t let a single loud comment hijack the whole report. It looks for patterns across platforms. If the same complaint shows up on Reddit, X, and YouTube comments, that signal becomes much stronger.

V. Real Live Demo: Researching the Skill Itself

Now let’s test the skill on itself. The prompt I used was:

Research what people are saying about the Last 30 Days skill.

Claude Code took the prompt, ran the skill, searched across platforms, and came back with a report after around 5 minutes.

After about 5 minutes, Claude Code came back with a proper research brief, not just a list of links. Here’s what it surfaced:

The most useful part is that it told you where the signal was weak, not just where it was strong. Instead of pretending every source delivered equally, Claude Code flagged which sources had strong results and which ones came back thin. That’s actually what makes it trustworthy.

Compare that to a normal web search on the same question. You’d get an explanation of what the skill does. You’d completely miss the operational layer: open issues, PR activity, setup friction, contributor volume, and honest coverage gaps.

-> That is the point: Last 30 Days shows the messy signals behind a project, including where users are blocked, where maintainers are active, and where the evidence is thin.

VI. Our Verdict and Recommendations

Last 30 Days is powerful, but don’t make it your default research button for every small question.

For quick things, normal web search is still fine. If you only need a basic definition, a docs link, or a simple answer, Last 30 Days can be heavier than you need.

The best use case is research where real user sentiment matters.

Use Last 30 Days when:

• You need to know what actual people are saying, not what articles are saying about what people are saying

• You’re researching AI tools, product launches, creator trends, or fast-moving tech topics

• You want to compare tools side-by-side in one run (it handles “X vs Y” queries in a few minutes)

• You’re doing competitor research or checking community sentiment before building something

Skip it when:

• You just need a definition, a quick doc link, or a simple factual answer, it’s heavier than you need for that

• You need a long formal report with citations, deep research is still better for that

The one annoying thing: source setup. Some work instantly, others need extra steps. If you get stuck, paste the repo link into Claude Code and ask it to walk you through the specific source you want.

Conclusion

Last 30 Days is genuinely worth adding to your Claude Code workflow if you do research on AI tools, products, trends, or anything where community opinion matters more than editorial coverage.

Just go in with accurate expectations:

• The free tier is solid (Reddit, HN, Polymarket, GitHub, YouTube, arXiv, Techmeme all free)

• X is also free if you use browser cookies

• ScrapeCreators gives you 100 free credits, not 10,000 — enough to test, not enough for a routine workflow

• Start with free sources first, and only add paid API sources when you actually need them

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