What problem does it solve? Finding out what people actually said about a topic in the last 30 days requires manually searching a dozen platforms and stitching together posts, comments, and engagement numbers. This Skill automates that multi-source research and returns a synthesized, citation-backed report. ## Core Features & Use Cases - Multi-source research engine: Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, Bluesky, and web search, then ranks evidence clusters by relevance and engagement. - Query-type aware synthesis: Handles general topics, breaking news, prompting advice, recommendations, discovery sweeps, and head-to-head comparisons (e.g., "codex vs claude code") with distinct output templates. - Doctor health check and watchlists: Diagnoses broken or missing source configurations, persists findings to a SQLite research store, and generates daily or weekly briefings on watched topics. - Use Case: Ask "what are people saying about DeepSeek R1" and receive a synthesized narrative with quoted community comments, per-source coverage stats, and a saved raw research file. ## Quick Start Ask the agent to run last30days on a topic, for example: research what people are saying about nano banana pro prompting in the last 30 days.
