Get Real User Sentiment with the 'Last 30 Days' Skill for Claude Code
Claude Code users often hit a wall when they need to find out what people actually think about a piece of software or a new AI model. You usually have two choices. You can use a standard web search, which gives you a list of SEO-optimized articles and corporate press releases. Or, you can run a deep research workflow that takes 20 minutes and burns through millions of tokens using hundreds of agents.
Standard web searches are shallow. They rely on Google rankings, which means you see headlines and polished blogs instead of raw human opinion. You miss the debates happening in the comments or the warnings posted on developer forums.
Deep research tools are often overkill. Most of the time, you don't need a massive swarm of agents to find out if a new update is buggy. You just need to see what the community is saying right now. This creates a gap where you need real-time sentiment without the massive time and cost of a full-scale deep dive.
The 'Last 30 Days' Open-Source GitHub Repository
The Last 30 Days skill is an open-source project that fills this gap. It has gained 55,000 stars on GitHub and hit the number one spot for repositories of the day. It allows Claude Code to scrape data from the places where real people actually talk.
The tool aggregates data from a huge range of platforms. It hits Reddit, Hacker News, Polymarket, GitHub, YouTube, TikTok, Instagram, LinkedIn, Pinterest, and Blue Sky. Instead of reading one article, it looks at thousands of data points across these sites.
This approach captures grassroots sentiment. It doesn't just look at a post's title. It analyzes the comment sections to see if people agree or if they are fighting about the topic. It finds the nitty-gritty details that corporate blogs leave out.
The final output isn't just a chat message. The tool compiles everything into a structured report. It provides markdown briefs for quick reading and JSON files containing raw transcripts and comments for those who need to do their own deeper analysis.
Comparing the 'Last 30 Days' Skill to Standard Web Search
To see why this matters, look at a search for Claude Opus 5. A standard Claude web search gives you a summary of the top Google results. It tells you the official specs and the general consensus from a few major tech sites. It is accurate, but it is superficial.
The Last 30 Days skill produces a completely different report. In one test, it pulled data from:
- 22 Reddit threads
- 13 X posts
- 14 YouTube videos
- 26 TikToks
- 13 Instagram reels
- 16 Hacker News stories
- 25 GitHub items
The results are far more detailed. It found specific discussions about Opus 5 being half the cost of Fable 5. It identified backlash in the comment sections of short-form videos. It contrasted professional reviews with actual user experiences on the ground.
Web search tells you what the author of an article wants you to know. The Last 30 Days skill tells you what the users are experiencing. One provides a headline; the other provides the truth.
How the 'Last 30 Days' Skill Works
When you trigger the skill, Claude Code doesn't just send a basic query to a search engine. It takes your prompt and makes it better. It refines the search terms to fit each specific platform.
The tool uses intelligent routing. If you ask about a specific celebrity or a niche coding library, it knows which subreddits to target and which Twitter handles are relevant. It doesn't waste time on irrelevant corners of the web.
The actual scraping is fast because it runs in parallel. It uses deterministic Python scripts to hit multiple platforms at once. This prevents the process from dragging on for twenty minutes like a deep research agent would.
After gathering the data, the system ranks the information. If it sees the same complaint on Reddit, Twitter, and YouTube, it flags that as a high-priority insight. This filtering removes the noise and prevents a single random comment from skewing the whole report.
Installation and Setup Guide
Installing the skill is straightforward. It requires a single line of code inside Claude Code. While it is built for Claude, the repository also provides instructions for users of Codex, Cursor, and the claude.ai web app.
Many of the sources work out of the box. You don't need API keys for a large portion of the platforms. The tool handles the connection automatically.
Some platforms do require a bit more setup:
- X (Twitter) requires an X AI API key. This is the only part that costs a meaningful amount of money, though it usually only costs about 10 cents per run.
- TikTok and Instagram Reels use an API from Scrape Creators.
- The installation process often sets you up with a subsidized account for Scrape Creators, giving you thousands of free calls.
If you get stuck on a specific connection, you can give the GitHub repo link to Claude Code. The AI will read the documentation and walk you through the setup for each specific source.
Practical Execution and Best Practices
You can start the research by typing /last 30 days or by simply asking Claude to use the skill in natural language. You can give it a broad topic or a very specific question.
The skill is flexible. If you don't want a massive report, you can scope down the search. You can tell Claude to only check Reddit or only check YouTube. This saves time and keeps the report focused on the specific community you care about.
You should not use this skill for every single query. For basic questions like "What is the weather in Tokyo?" or "How do I center a div?", a standard web search is better. The Last 30 Days skill is a heavy-duty tool for sentiment analysis.
Reserve it for when you need to know:
- If a new software version has hidden bugs.
- How a product's price is perceived by users.
- The general mood of a community regarding a specific event.
Final Thoughts
The 'Last 30 Days' skill solves a major research problem for AI developers. It bridges the gap between surface-level Google results and the token-heavy burden of deep research. By scraping social platforms and developer forums, it gives you a window into real human opinion.
You get the depth of hundreds of user conversations without waiting twenty minutes for a result. The combination of parallel Python scripts and cross-platform ranking makes it an efficient way to get the truth.
If you are tired of reading SEO blogs that all say the same thing, try this repository. Install the skill, connect your API keys, and start seeing what the internet is actually saying.
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