Can I see the data types for specific columns?

Yes, using /dr-tables [table_id] or adding the --schema flag will provide a detailed breakdown of columns, types, and nullability.

What should I do if I get an authentication error?

Click the '+' button in the Claude UI, go to Connectors, find Datarails, and click Connect to refresh your credentials.

How do I list all available Datarails tables?

Simply run the /dr-tables command without any arguments to see a formatted list of all tables, their IDs, and row counts.

How do I analyze the distribution of a specific field?

Use the --field argument with a table ID to view the most frequent distinct values and their percentage of the total data.

Is this skill used for querying specific records?

This skill is for discovery and metadata. To query specific records or perform filtering, use the related /dr-query skill.

Datarails Finance OS Table Discovery

Name: Datarails Finance OS Table Discovery
Author: Datarails

byDatarails

0•

데이터베이스 관리

Explores and catalogs Datarails Finance OS tables to discover data structures, schemas, and field distributions.

The Datarails Finance OS Table Discovery skill enables users to navigate complex financial data architectures directly within Claude Code. It provides a comprehensive interface for listing available tables, inspecting detailed column schemas, and generating high-level data profiles. By allowing users to explore distinct field values and understand data cardinality, it serves as the essential foundational tool for financial analysts and developers before performing deeper data queries or anomaly detection.

주요 기능

010 GitHub stars

02Generate data profile summaries for quick structural overviews

03List all available Finance OS tables with row counts and categories

04Explore distinct field values to analyze categorical data distribution

05Inspect detailed table schemas including column types and constraints

06Integrated authentication check with Datarails Connector support

사용 사례

01Verifying GL account code structures and transaction field types

02Profiling data quality by checking unique value counts in categorical fields

03Mapping available financial data sources before starting a reporting project

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add datarails/dr-claude-code-plugins-re tables

For use in Claude.ai and ChatGPT

주요 기능

010 GitHub stars

02Generate data profile summaries for quick structural overviews

03List all available Finance OS tables with row counts and categories

04Explore distinct field values to analyze categorical data distribution

05Inspect detailed table schemas including column types and constraints

06Integrated authentication check with Datarails Connector support

사용 사례

01Verifying GL account code structures and transaction field types

02Profiling data quality by checking unique value counts in categorical fields

03Mapping available financial data sources before starting a reporting project

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add datarails/dr-claude-code-plugins-re tables

For use in Claude.ai and ChatGPT