Implementing Multi-Platform Data Synthesis via the last30days-skill AI Agent

A new open-source AI agent skill, developed by mvanhorn, enables the automated research and synthesis of real-time data across diverse social and information platforms to generate grounded summaries of specific topics.

Overview of the last30days-skill

The last30days-skill is a specialized AI agent capability designed to bridge the gap between static model knowledge and the rapidly evolving real-time information landscape. By implementing a cross-platform research pipeline, the skill allows an AI agent to scrape, analyze, and synthesize data from a wide array of high-signal sources to provide an up-to-date perspective on any given topic.

Multi-Source Data Acquisition

To ensure a comprehensive understanding of current trends and discussions, the skill integrates data retrieval from several key platforms, each providing a unique dimension of information:

• Social Discourse: Integration with Reddit and X (formerly Twitter) to capture community sentiment and breaking news.
• Multimedia & Long-form Content: Access to YouTube for video-based insights and Hacker News (HN) for technical and developer-centric discussions.
• Predictive Markets: Integration with Polymarket to incorporate market-based probability and forecasting data.
• General Web Search: Broad web crawling to fill gaps and provide general context.

Synthesis and Grounding

Beyond simple data collection, the core value of the last30days-skill lies in its ability to synthesize this fragmented data into a grounded summary. By aggregating inputs from diverse sources, the agent reduces the risk of hallucinations and ensures that the final output is backed by verifiable, recent evidence from the web, effectively providing a "grounded" truth based on the last 30 days of activity.

Note: Detailed technical implementation details regarding the specific API integrations and the synthesis prompt architecture were not provided in the source metadata.