research-trigger

Research-trigger automatically detects when natural language indicates research intent—phrases like 'how do I implement,' 'what are the options for,' or 'best practices for'—and routes the full question to the /research command for parallel investigation across multiple sources, returning synthesized findings with citations.

The Skill identifies research intent across implementation questions (JWT auth, caching strategies), best practices lookups (API versioning, microservices patterns), and multi-source investigations. It classifies intents as how-to, comparison, best practices, or investigation to tailor search scope and deliver relevant results.

Yes. Instead of hours of manual searching, describe what you need researched—'research best practices for API versioning in microservices'—and receive a concise, well-sourced report with automatic citations synthesized from multiple sources.

The Skill applies natural language classification to detect research cues in user queries. It identifies requests involving implementation steps, options comparison, best practices exploration, and multi-source investigation, distinguishing research queries from straightforward factual questions.

You receive comprehensive research findings formatted as a synthesized report with automatic citations and sources, enabling analysis-only delivery that documents where information originated without requiring you to compile results manually.