# dr-revenue-trends

> Claude/Codex skill by [@datarails](https://omgskills.com/library/datarails/index.md) · 3 stars · Updated 2026-09-22

Revenue trends, growth rates, and composition from real aggregated monthly data. Self-contained — discovers the client's financials table and fields itself, no profile or setup step required.

## Install

```sh
git clone https://github.com/Datarails/dr-claude-code-plugins-re /tmp/dr-claude-code-plugins-re && ln -s /tmp/dr-claude-code-plugins-re/skills/revenue-trends ~/.claude/skills/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.

## Links

- HTML page: https://omgskills.com/library/datarails/dr-claude-code-plugins-re/skills/revenue-trends/
- GitHub: https://github.com/Datarails/dr-claude-code-plugins-re
- Author: [@datarails](https://omgskills.com/library/datarails/index.md)

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