What problem does it solve? Writers and marketers often lack visibility into what practitioners and customers are actually saying about a topic right now, relying instead on stale authority sources. This Skill gathers the last 30 or 90 days of public conversation across major platforms and turns it into a structured, citation-backed brief. ## Core Features & Use Cases - API-Free Multi-Platform Search: Uses WebSearch with platform-targeted site operators (Reddit, Hacker News, X/Twitter, YouTube, dev.to, Medium, GitHub, StackOverflow, Substack) plus recency filters, requiring no API keys. - Structured DISCOURSE.md Brief: A Python helper clusters results by theme, scores by recency and engagement, and outputs a LAW-compliant brief highlighting what's new, cross-platform consensus, and practitioner specifics. - Prompt-Injection Defense: Scans snippets for instruction-shaped patterns, flags suspicious content, and validates data at the script level for defense in depth. - Use Case: Before writing a trend piece on a new developer tool, run the discourse research to capture what Reddit and Hacker News users debated in the last 30 days, then feed the brief directly into your blog writing workflow. ## Quick Start Ask the assistant to run blog discourse research on your topic, for example: research what people are saying about vector databases in the last 30 days and produce a DISCOURSE.md brief.