mvanhorn/last30days-skill is a research skill for AI Agent. Its goal is clear: search what happened on Reddit, X, YouTube, Hacker News, Polymarket, and the Web in the last 30 days around any topic, and compile it into an evidence-based summary of trends.
This type of tool is suitable for solving a common pain point: LLM’s own knowledge may be out of date, and ordinary search is too scattered. What you really want to know is not “what is this concept”, but “what everyone is discussing recently, how the mood has changed, and what new signals are there.”
What is it suitable for?
You can prioritize using it to do these tasks:
- Scan recent public opinions on AI products, open source projects, and industry topics;
- Reddit / X / YouTube / HN multi-platform trend comparison;
- Find the latest controversial points in a certain technical direction;
- Pre-research information before writing a blog;
- Collect signals for investment, product, and content selection;
- Let Agents such as Claude Code / OpenClaw do research with skills.
It is not a database or a source of absolute truth. To be more precise, it is like a “data assistant for the last 30 days” that helps you catch fragmented signals first.
Use boundaries
The most common pitfall of this trend research tool is that it takes popularity as fact. Discussions, likes, retweets, and comments on social media can represent attention, but they do not necessarily represent the truth.
It is recommended to note when using:
- Important facts should be checked back to the original link;
- Platform samples are biased and cannot only look at one community;
- Recent popularity does not equal long-term value;
- AI summary may miss opposing views;
- Do not rely solely on trend summaries for high-risk judgments in investment, medical, legal, etc.
Summary
last30days-skill is suitable for supplementing “recent perception” to AI Agent. If you often write trend articles, do product research, and read open source hot topics, it can save a lot of initial screening time.
But it’s not a conclusion machine. It will be more stable to treat it as a research entry point rather than a final judgment.