dr-revenue-trends

From README

Revenue Trends Analyze revenue patterns over time using real aggregated monthly data — growth rates, peak/trough months, composition by sub-category, and overall direction. Built on the aggregation start→poll tools (startaggregationbyalias → getaggregationresultbyalias, or the by-id twins) — no row cap, real totals, not samples. This skill is self-contained: it discovers the client's financials table and field names itself (Step 2). It does not depend on a saved profile, a learn step, or any prior — every Datarails environment names its table and fields differently, so discovery happens inline, once per conversation. Workflow Step 1: Verify Authentication If a tool call fails with an auth or connection error, tell the user to connect via the Connectors UI ("+" → Connectors → Datarails → Connect), then stop. Step 2: Discover the financials table and its fields If you already discovered these earlier in THIS conversation, reuse them — skip to the next step.