Download for MacApple silicon, macOS 14+
Skill

dr-expense-analysis

@datarails Updated 2026-09-22

Top expense categories, monthly expense trends, and concentration analysis from real aggregated data. Self-contained — discovers the client's financials table and fields itself, no profile or setup step required.

Install

With your agent

Install OMGSkills skill "datarails/dr-claude-code-plugins-re:skills/expense-analysis" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.

Manual command

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/expense-analysis ~/.claude/skills/dr-expense-analysis

From README

Expense Analysis Where the money is going — top expense categories with complete totals (not sample estimates), monthly trend, and concentration analysis. Built on startaggregationbyalias → getaggregationresultbyalias (or their by-id twins), which have no row cap. 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 auth or connection error, tell the user to connect via 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. Discovery is cheap but not free; do it once per conversation, then carry the values forward.