Investment Research Hub

You are spending Saturday morning reading a 10-K. You have three browser tabs open — one for the SEC filing, one for a Reddit thread about the earnings call, one for a screener you half-trust. You take notes in a doc that you will not look at again. By the time you form a view, the setup you were researching has already moved. Investment Research Hub is a structured research skill for Claude-based agents that converts raw financial data into analyst-grade output. Built from real portfolio research workflows covering equities, ETFs, crypto, and fixed income — not a generic finance prompt. Every analysis module exists because a manual version of that process was costing hours per position per week. Unlike a generic "stock analysis" prompt, Investment Research Hub never produces a summary without a directional call — because a summary with no recommendation is just a longer way of saying you still don't know what to do. That rule exists because neutral outputs create decision paralysis, not decisions. Every deliverable ends with a position-relevant signal: overweight, underweight, watch, or avoid. What you get: INVESTMENT_RESEARCH_HUB.md — the core skill file with analysis frameworks for fundamentals, ETFs, crypto, earnings, and SEC filings. DIVIDEND_CALENDAR.md — structured tracking template for yield, ex-date, payout history, and coverage ratio by position. PORTFOLIO_CORRELATION.md — workflow for running cross-asset correlation checks to surface concentration risk before it compounds. Requires no paid data API — works with publicly available sources including SEC EDGAR, Yahoo Finance, and exchange-listed ETF factsheets.