In today's information-saturated digital landscape, staying current on emerging topics requires monitoring dozens of platforms simultaneously—a task that's both time-consuming and overwhelming for professionals, researchers, and curious minds. The fragmentation of discourse across Reddit, X (Twitter), YouTube, Hacker News, prediction markets like Polymarket, and the broader web creates knowledge silos, making it difficult to form a cohesive, evidence-based understanding of trending subjects.
Last30Days Skill is an open-source AI agent skill designed to automate comprehensive digital research. It functions as an intelligent research assistant that doesn't just aggregate links but actively synthesizes information from diverse, real-time sources into a single, grounded summary. By connecting to multiple platform APIs and web search, it captures the nuance of discussions, identifies consensus and controversy, and presents findings with attribution to its sources. This transforms the arduous process of multi-platform monitoring from a manual chore into an automated, insightful briefing.
Key Features
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Multi-Platform Intelligence Gathering: The agent performs concurrent searches across a curated set of high-signal platforms. It parses Reddit threads for community sentiment and niche insights, scans X for breaking news and expert commentary, analyzes YouTube video descriptions and comments for public reaction, reviews Hacker News for technical and startup perspectives, and checks Polymarket for crowd-sourced prediction data on event outcomes. This holistic approach ensures no valuable angle is missed.
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Synthesis & Grounded Summarization: Beyond simple aggregation, the core AI capability is to read, comprehend, and synthesize information from these disparate sources. It identifies key arguments, recurring themes, factual claims, and notable disagreements. The output is not a list of links but a coherent narrative summary that explains what is being discussed and why it matters, with all conclusions explicitly tied to the sourced material, reducing hallucination and increasing trustworthiness.
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Open-Source & Extensible Architecture: Hosted on GitHub, Last30Days Skill is built to be modified and extended by developers. The codebase allows users to adjust search parameters, add new data sources (like newsletters, specific forums, or academic databases), and customize the summarization logic. This makes it a powerful foundation for building specialized research agents for finance, technology, public policy, or competitive intelligence.
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Temporal Focus (Last 30 Days): The tool is purpose-built for analyzing recent discourse, automatically filtering for content from the past month. This temporal boundary is crucial for relevance, ensuring summaries reflect the current state of conversation rather than outdated information, making it ideal for tracking evolving trends, emerging technologies, or breaking news cycles.
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Developer-Friendly Integration: As a "skill," it's designed to be integrated into larger AI agent frameworks or workflows. Developers can call its functionality programmatically to feed researched summaries into other applications, dashboards, or decision-support systems, enabling automated due diligence, market research, or content curation pipelines.
Get Started
Getting started with Last30Days Skill requires technical familiarity with GitHub and AI agent environments. Begin by cloning the repository from the project's GitHub page. You will need to set up API keys for the various platforms you intend to query (such as Reddit, X, and YouTube) as per their respective developer guidelines. The project includes documentation to guide configuration. Once dependencies are installed and credentials are in place, you can run the skill by specifying your target research topic. The learning curve is moderate for developers accustomed to working with APIs and Python environments. The open-source nature means you can immediately inspect, run, and modify the code to suit specific research needs or integrate it into a broader automated workflow. There is no graphical interface out-of-the-box; interaction is primarily through code, making it a powerful backend tool for builders and technologists.
