What problem does it solve? Planning and architecture decisions often rely on unsourced assumptions or stale knowledge. This Skill enforces a research-first workflow that gathers official documentation, competitive product data, and recent engineering sources before any major planning step, producing a dated, citation-backed research document. ## Core Features & Use Cases - Source-Grounded Investigation: Collects primary sources (official docs, GitHub repos, RFCs) via parallel WebFetch, rejecting stale blogs and AI-summary articles. - Competitive Comparison Tables: Builds structured comparison of 3+ competing products covering pricing, features, constraints, and community. - Dated Research Documents: Saves results to docs/research/<date>-<topic>.md with full citation metadata, findings, recommendations, and open questions. - Use Case: Before choosing a backend stack, ask for a comparison of Supabase vs Firebase for a Korean startup MVP and receive a saved research doc with cited sources, a 3+ product comparison table, and Korea-specific notes ready to feed into plan reviews. ## Quick Start Ask the agent to research and compare Supabase vs Firebase for your MVP and save the findings as a dated research document.