One AI Agent to Research Them All

Ever start a project and immediately need to know the latest consensus on a framework, the best practices for a new tool, or just what people are actually saying about a tech trend? Your research tab probably looks like mine: a chaotic sprawl of Reddit threads, YouTube tutorials, and X (Twitter) hot takes. Synthesizing that into useful knowledge is a manual, time-consuming slog.

What if you could just ask an AI to do that legwork for you? Not just a generic web search, but a focused investigation across these specific, opinion-rich platforms. That’s the idea behind the last30days-skill project—a single AI agent you can task with researching any topic across Reddit, X, and YouTube.

What It Does

last30days-skill is a project that creates an AI agent capable of performing cross-platform research. You give it a topic—say, “React Server Components” or “Rust for web dev”—and it will autonomously search, fetch, and analyze relevant content from Reddit, X, and YouTube from the last 30 days. It then synthesizes its findings into a coherent summary, pulling together discussions, tutorials, and debates into a single, digestible report.

It’s essentially a research assistant that speaks the language of developers and knows exactly where we go to get real, unfiltered opinions and tutorials.

Why It’s Cool

The clever part isn't just that it searches multiple places; it’s how it does it. The agent is built to navigate the distinct APIs and data structures of each platform, handling authentication, rate limiting, and data parsing behind the scenes. You get a unified view without worrying about the plumbing.

The “last 30 days” filter is a killer feature. It keeps the research relevant and timely, cutting through the noise of outdated blog posts or deprecated advice. This is perfect for fast-moving tech landscapes where a two-year-old Reddit thread might be completely obsolete.

For developers, the use cases are pretty direct:

• Kicking off a new project: Get a rapid, community-driven overview of a new library or language.
• Due diligence: Understand the real-world pain points and praises for a tool before adopting it.
• Content creation: Quickly gather the latest discussions and tutorials on a topic to write or make a video about it.

How to Try It

The project is open source on GitHub. To run it yourself, you’ll need to clone the repo and set up the necessary API keys for the platforms you want to include (Reddit, X, and YouTube).

Head over to the repository for the full setup instructions and code: github.com/mvanhorn/last30days-skill

The README outlines the prerequisites and configuration steps. It’s a self-hosted tool, so you have full control over the queries and the data.

Final Thoughts

As someone who’s wasted hours hopping between tabs trying to gauge community sentiment, this feels like a tool that automates a genuine pain point. It’s not about replacing deep, focused learning, but about efficiently mapping the landscape before you dive in. For developers, it’s a force multiplier for the initial research phase of any project.

The implementation is a neat example of building a practical, multi-platform AI agent. It’s worth checking out the code to see how it orchestrates different services, even if you just use it as inspiration for your own automation scripts.

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