What problem does it solve? Research requests often start without structure, leading to unfocused web searches, unverified claims, and no clear definition of done. This Skill enforces a systematic planning phase that decomposes any research topic into sub-questions, targeted queries, claim budgets, and source quality rules before any searching begins. ## Core Features & Use Cases - Structured Plan Generation: Produces a research/plan.json file with topic, objective, 3-7 sub-questions, search queries, tier rules, and success criteria following a defined JSON schema. - Claim Budget & Source Tiers: Limits load-bearing claims (≤10 recommended) and enforces Tier-1 source requirements for high-stakes claims like market sizing. - Query Strategy Library: Includes advanced search operator patterns for Tavily and Brave, canonical domain targeting, noise filtering, and temporal strategies. - Use Case: A founder asks to research the AI coding agents market for positioning. The Skill produces a plan with 5 sub-questions, 10 targeted queries, a claim budget of 10, and Tier-1 requirements for market size data before any web search runs. ## Quick Start Create a research plan for the AI coding agents market with sub-questions, search queries, and a claim budget before starting any web searches.