deep-researchlisted

Go deep on any question across many sources and return a cited, decision-ready briefing. Use when the user asks to "research," "look into," "go deep on," "find out everything about," or needs a sourced answer to a non-trivial question — markets, regulations, competitors, costs, trends, people/companies, or any topic where a single web result isn't enough.
Fusion-Data-Company/underwriter-os · ★ 1 · AI & Automation · score 74

Install: claude install-skill Fusion-Data-Company/underwriter-os

# Deep Research Turn a plain-language question into a thorough, source-cited briefing. This is the research engine the other plays lean on. ## When to use The user wants more than a quick answer: "research the Nashville multifamily market," "what's happening with construction costs," "look into this developer," "find everything on this incentive program." ## Tools, in order of preference 1. **Claude's built-in web search** — always available, no setup. 2. **Tavily, Exa, Firecrawl** if the user has connected them (their own keys) — exact call patterns in `underwriter-os/docs/DATA-SOURCES.md`. Also **FRED**/**Census** for macro & demographic facts, and a connected parcel data source (`quarry-parcels`) for property/owner facts. 3. **Yardi Matrix / finance connectors** if connected (real estate / market data). Run the full method below regardless of which tools fire. ## Method 1. **Clarify the decision.** One sharp question if scope is unclear: what decision will this inform, and how deep do they need it? Then proceed. 2. **Decompose** the question into 4–8 sub-questions. State them. 3. **Fan out:** search each sub-question. Prefer primary and authoritative sources (government data, company filings, official market reports, reputable trade press). Note the date of every source. 4. **Triangulate:** confirm important facts across 2+ independent sources. Flag anything you can only find once as "single-source — verify." 5. **Adversarially check:** actively look for data that cont