Profile Datarails Finance OS table fields. The MCP tools return baseline aggregates (SUM/AVG/MIN/MAX/COUNT for numeric, distinct-value samples for categorical); this skill derives percentiles, range-outlier flags, null rates, and cardinality interpretation client-side.
How to install profile?
datarails/dr-claude-code-plugins-re/profile
$npx -y skills add datarails/dr-claude-code-plugins-re --skill profileInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/datarails/dr-claude-code-plugins-re" --skill "datarails/dr-claude-code-plugins-re/profile"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/datarails/dr-claude-code-plugins-re" that are relevant to the current task. Run `npx skills add "https://github.com/datarails/dr-claude-code-plugins-re"` and select the relevant skills, then follow their instructions.
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